Bioinformatics Jobs

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Genomic Diagnostic Laboratory (GDL) of the Children’s Hospital of Philadelphia is seeking a highly motivated Supervisory Bioinformatics Scientist to manage our Bioinformatics team consisting of Bioinformatics Scientists, Bioinformatics Engineers, and RIA Programmers. This is an exciting opportunity to join our laboratory where we use a wide variety of molecular and cytogenetic test methodologies to provide accurate, timely diagnostic testing that has a direct impact on patient care. The team also supports cutting edge R&D efforts including new clinical test development and clinical research. The Supervisory Bioinformatics Scientist is a key member of the leadership team in the GDL, collaborating with other lab leaders including the Director of Bioinformatics, clinical directors, managers, and supervisors). The successful candidate will have a strong human genetics, bioinformatics, and management background that will be applied to training, clinical work, R&D, and troubleshooting. Good documentation practices as well as strong organizational and communication skills are essential. Job responsibilities include scheduling work duties, providing semi-annual performance reviews, assuring that all accreditation requirements are in full compliance, and participating in quality improvement initiatives. We seek a leader who has an interest in strategic planning to develop and improve our bioinformatics pipelines and other tools to support our expanding test menu. This position can be worked fully on-site at our campus in Philadelphia, PA, or as a hybrid role with an expectation of on-site presence at least once a week, and additional on-site presence possible based on the needs of the lab. In addition to many of the subject matter expert responsibilities of the Principal Bioinformatics Scientist, the Supervisory Bioinformatics Scientist will also: • Build and supervise a team responsible for the architecture, development, testing and production rollout of integrated biomedical data resources and applications. • Balance competing priorities and resource allocation across a portfolio of matrixed projects and collaborations. • Promote common standards and best-practice use of multiple technologies to create innovative solutions that have a high impact on data-intensive clinical and translational research. • Serves as the data integration team lead on larger complex projects that include informatics, clinical and translational researchers. • Propose staffing plans for multi-year strategic data resource initiatives. • Train, mentor, and hold junior staff accountable to the results of modern technology development methodologies such as code test coverage, continuous integration, monitoring. • Educate staff, students, and trainees (fellows, post-docs) on appropriate staffing and expertise levels for application of data integration methods in the clinical and translational research environment. What you will do • A Supervisory Bioinformatics Scientist functions as both subject matter expert and team manager. The responsibilities echo those of a Principal Bioinformatics Scientist, but include direct supervision of team members and projects. A Supervisory Bioinformatics Scientist will: • Directly lead and mentor junior staff in a direct supervisory capacity. • Guide and develop the skills and expertise of junior staff • Build project budgets by estimating time and effort costs • Hold data integration and technical teams accountable to high-level project goals and timelines, mapping detailed project plans into these timelines. • Recruit, hire, and retain a focused team of any of Bioinformatics Scientists, Bioinformatics Engineers, and Bioinformatics Programmers. • Provide bioinformatics academic and thought leadership for joint collaborations with CHOP PIs. Education Qualifications • Master's Degree Required • Doctorate Bioinformatics, Computational Biology, Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred Experience Qualifications • At least seven (7) years Experience in bioinformatics analysis, bioinformatics database development, bioinformatics database administration, bioinformatics data management, or related discipline, with progressively more complex projects in a biomedical science or healthcare environment. Required • At least one (1) year Small team supervisory experience. Required Skills and Abilities • Experience in bioinformatics and statistical data analysis on highly dimensional data types such as derived from genomics and observational clinical or human subjects research data. • Expert knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle required. • Expert knowledge of bioinformatics applications and algorithms. • Expert knowledge of one or more of the following required: Python/Django, R, Perl, Scala, Ruby or other scripting languages. • Expert biological domain knowledge. • Must exhibit excellent oral, presentation, and written communication skills. • Experience with source code management, application development, and project lifecycle management. • Project management experience of complex matrix projects required. • Proficiency in the areas of bioinformatics analysis, statistical modeling, data integration, and bioinformatics thought leadership in the larger biomedical community. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

Research Computing at Boston Children’s supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge research ranging from genomics to epigenetics and transcriptomics, proteomics and metabolomics. The Senior Bioinformatics Data Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, single-cell ATAC-seq, spatial transcriptomics, bulk RNA-seq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Responsibilities include: • Providing computational support services to Boston Children's Hospital scientists and clinicians by applying a wide range of bioinformatics tools, methods and technologies. • With minimal supervision and direction, completing highly complex assignments in the required timeframe; consistently adhering to and Promoting standard operating procedures and best practices; maintaining and upgrading a wide range of Research Computing tools, methods, and technologies, migrating data, documenting changes, and adjusting internal processes; resolving highly complex problems associated with assignments and seeking supervisor assistance when needed. • Routinely leading, co-leading, or participating in complex bioinformatics projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. To qualify you must have: • Minimum of 4-year Bachelor's degree in STEM. A minimum of one year of position-specific experience, which might potentially include experience acquired through MSc or Ph.D. studies. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals. #LI-Remote

Payroll Title: BIOINFORMATICS PROGR 5 Department: PEDIATRICS Hiring Pay Scale $145,200.00 - $217,100.00 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday-Friday #133493 Lead Bioinformatics Programmer- Hybrid Filing Deadline: Thu 1/9/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 12/11/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 12/23/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote. DESCRIPTION Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment. The Knight lab in the Departments of Pediatrics, Bioengineering, Computer Science & Engineering, and the Halicioglu Data Science Institute uses and develops state-of-the-art computational and experimental techniques to ask fundamental questions about the evolution of the composition of biomolecules, genomes, and communities in different ecosystems, including the complex microbial ecosystems of the human body. We subscribe to an open-access scientific model, providing free, open-source software tools and making all protocols and data publicly available in order to increase general interest in and understanding of microbial ecology, and to further public involvement in scientific endeavors more generally. The Lead Bioinformatics Programmer is responsible for leading software development and data analysis teams in high impact projects including data management and analysis for multi-institutional projects. The Lead Bioinformatics Programmer is charged with the architecture, design and implementation of large, complex workflows, web application portals and analytic systems. Conceives, develops, recommends and incorporates new or existing architecture, and/or new strategies to integrate systems and applications. Organizes and presents discussions and training workshops. Leads a team of bioinformatics professionals. Is accountable for multiple large, complex systems or subsystems. Functions as a highly specialized bioinformatics programming professional with an expert understanding of computational algorithms to identify and resolve a wide range of highly complex issues where analysis of situations or data requirements have little or no precedent. Project scope is broad and may extend beyond the university. Is considered a subject matter expert of the organization and often recognized as an expert externally in the field. Leads a team of bioinformatics professionals. Performs other duties as assigned. MINIMUM QUALIFICATIONS • Eleven (11) years of related experience, education/training, OR a Bachelor's degree in biological science, computational/programming, or related area plus seven (7) years of related experience/training. • Expert knowledge of bioinformatics methods, applications programming, web development and data structures. • Advanced analytical skills in independent, inductive, and deductive reasoning. Demonstrated ability to efficiently assess a broad spectrum of technical and resource requirements and proven skill to identify, define and delegate the efforts necessary to address those requirements in a high-performance computing setting. • Demonstrated skill and experience in leading to a team of programmers, meet deadlines and demonstrate highly developed problem solving skills. • Expert in bioinformatics programming design, modification, and implementation, with extensive knowledge of relational databases, web interfaces, and operating systems. • Highly developed project management skills. • Extensive knowledge and experience in Biology, Computational Biology, Bioinformatics, and modern biology with its applications in relevant research fields. • Highly developed interpersonal skills in order to work with both technical and non-technical personnel at all levels internally and externally to the organization. • Ability to communicate technical information in a clear and concise manner. • Highly developed ability to interface with management on a regular basis. • Expert knowledge of web, application and data security concepts and methods. • Exceptional writing and oral presentation skills. Excellent writing skills appropriate to the creation of the clear and persuasive scientific proposals and clear communications to colleagues in computational science and allied fields, as well as to technical and clerical employees. Proven ability in writing proposals and acquiring funding for research and development. SPECIAL CONDITIONS • Employment is subject to a criminal background check. • Remote work during evenings and weekends may be required. • Must be willing and able to travel. Pay Transparency Act Annual Full Pay Range: $145,200 - $289,000 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $69.54 - $138.41 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: • UC Sexual Violence and Sexual Harassment Policy • UC Anti-Discrimination Policy • Abusive Conduct in the Workplace

About the Research Investigating and onboarding novel organisms and engineering novel properties into chassis biosystems requires management and analysis of bioinformation. The successful candidate will work across a number of teams to provide bioinformatic support to genetic, proteomic, biochemical, pathway, and systems biology research projects. Purpose: Microbial bioinformatics to include data analysis, predictive and descriptive modeling of genomic, metagenomictranscriptomic, proteomic, and metabolic datasets, relationships and phenomena. • Experience/Skills:* • Advanced degree (PhD or Masters with equivalent experience) in biological or chemical sciences/engineering, with focus on combined theoretical/experimental approaches to understand and engineer microbial consortia. • Must have experience with analysis of multi-omics data driving toward development of whole-system models of microbial consortia. • Experience with microbial engineering, genome-scale metabolic modeling, and experimental design are preferred. • Must have expertise in R and/or Python as well as Linux. • Must be able to obtain a secret clearance. • Able, interested, and motivated to work in a multidisciplinary environment. • Able to work on multiple sub-projects simultaneously. • Excellent English skills in speech and writing. • Overarching Position Description:* The Biotechnology Branch of the US Army Research Laboratory seeks a contract Bioinformatician to join a multidisciplinary team of microbiologists, biological engineers, computational biologists, chemists, and materials scientists performing research on microbial consortia for materials conversion. The contract Bioinformatician will be responsible for processing and analyzing large-volume sequencing, transcriptomic and proteomic data, and will contribute to the design of the –omics experiments that generate these data. In addition, this team member will build, maintain, and refine genome-scale metabolic models describing individual organisms as well as multi-organism consortia, in order to help guide the team's efforts to understand key metabolic features and relationships of natural and designed material-converting microbial consortia. Interacting and developing technical collaborations with external leaders in the field and maintaining a keen awareness of the current literature and developments in the field are also important components of this position. • Specific Tasks and Duties:* Assist with the design of genomic and metagenomic sequencing experiments. • Design and implement novel state-of-the-art analysis pipelines and methods to distill large sequencing and –omics datasets into the most significant and actionable results aligned with the experimental objectives. • Construct and analyze results from single- and multi-organism genome-scale metabolic models to predict or constrain the space of expected products and metabolic relationships between organisms in consortia. • Communicate results in presentations, written reports, open journal publications, and patent applications. • Maintain current awareness of the relevant technical landscape by reading literature and participating in technical conferences or symposia. • Identify potential external collaborators. Develop strategic and mutually beneficial collaborative relationships to advance Army capabilities and accelerate accomplishment of project goals. ARL Advisor: Valerie E. Martindale ARL Advisor Email: valerie.e.martindale.civ@army.mil About HRED The Human Research and Engineering Directorate (HRED) is ARL’s principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming. Research within HRED focuses on how to improve Soldier performance in a dynamic and changing battlefield. As technology and autonomous systems become an increasingly integral part of Soldier teams, it is critical to determine how these systems can work with and be adapted to the Soldier and their capabilities. Autonomous systems must be able to be integrated into Soldier teams and move from tools to teammates. Critical to this is an understanding of how humans and human teams perform and change in dynamic environments and situations. HRED leverages human-robot interaction, human-informed machine learning, human cognition and adaptive teaming to improve human-autonomy teaming for future Army teams. About ARL-RAP The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. A complete application includes: • Curriculum Vitae or Resume • Three References Forms • An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference. • References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable) • Transcripts • Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for : • Research topic should relate to a specific opportunity at ARL (see Research Areas) • The objective of the research topic should be clear and have a defined outcome • Explain the direction you plan to pursue • Include expected period for completing the study • Include a brief background such as preparation and motivation for the research • References of published efforts may be used to improve the proposal A link to upload the proposal will be provided to the applicant once the advisor has made their selection. Questions about this opportunity? Please email ARLFellowship@orau.org.

Pay Grade: N Click HERE for Video Who we are. We protect lives. The Georgia Department of Public Health is the lead agency entrusted by the people of Georgia to proudly protect lives and promote healthy lifestyles in diverse communities statewide. We are committed to preventing disease, injury, and disability; promoting health and well-being; and preparing the State of Georgia for responding to disasters. What we offer. As a member of the Georgia Department of Public Health team, you will join a passionate group of individuals who are dedicated to making an impact. No matter your role, you will individually contribute to protecting the lives of all Georgians while receiving a wide range of benefits, so you can: • Make a Professional Impact – Build your career where it matters and protect lives in the community where you live, work, and play • Enjoy Workplace Flexibility – Experience flexibility in how you work so you can be your best self for you and Georgia Residents • Work with a Dynamic and Diverse Team– Collaborative and inclusive way of working where employees share ideas and leverage collective strengths • Achieve Career Longevity – Countless opportunities for continuous learning/development that support a long-term career • Take Part in a Hands-on Working Culture – Unique culture of active engagement and problem-solving, no matter your role • Feel Pride in Where you Work – Be part of making an impact in public health alongside dedicated people just like you As an accredited public health department, we're seeking a highly qualified candidate for the position of Bioinformatics Data Specialist to join the Division of Medical-Clinical Services, Public Health Laboratory located in Decatur, GA. The Georgia Public Health Laboratory (GPHL) seeks a qualified candidate to serve as Bioinformatics Data Specialist in the Division of Bioinformatics to support outbreak investigations and surveillance activities for pathogens of public health concern in the State of Georgia. The selected candidate will report to the Director of Bioinformatics and work closely with team members to develop, evaluate, and apply bioinformatics pipelines for the analysis of second- and third-generation sequencing datasets associated with high-risk pathogens from both clinical specimens and environmental samples. The Data Specialist will also track, review, and submit sequence data to public data repositories such as NCBI and GISAID, will interface with federal, state, academic and industrial partners to perform quality analysis and support data visualizations for genomic surveillance activities. The candidate will also provide quality assurance and quality monitoring of bioinformatics applications, supporting bioinformatics operations and training GPHL laboratory scientists in data management and processing. This is a GRANT FUNDED position and is subject to available grant funds. • Considerable knowledge of the theory and application of molecular biology, pathogen genomics, and bioinformatics in public health. • Ability to compile and formulate data, draw conclusions, and provide interpretations of data. • Proficiency in at least one scripting language (PERL, Python, Java, Nextflow, etc.) and Unix/Linux operating systems. • Capable of developing, testing, and implementing complex bioinformatics pipelines to analyze large sequencing data sets from various sequencing platforms. • Able to troubleshoot and resolve issues associated with databases and bioinformatics pipelines in high-power computing and AWS environments. • Experience with the development and validation of new methods. • Good project and data management skills and capacity to manage multiple projects simultaneously. • Effective oral and written communication skills. Fulfill bioinformatician responsibilities and other job-related duties as required. • Able to implement dashboards for pathogens of public health concerns. • Work successfully as an independent and in a team environment. To collaborate with laboratory, epidemiology and informatics teams for developing standard operating procedures (SOP) documentation for analytical protocols and script and bioinformatics pipeline development. • Able to generate figures, graphs and tables based on data analysis outputs for the quarterly and annual progress reports, conference posters and manuscripts. Bachelor's degree from an accredited college or university with coursework in computer science or management information systems AND Two years of related experience. • Academic transcripts are required* Please upload a copy of all relevant transcripts to this application. Preferred Qualifications • Master’s degree and/or doctoral degree in Bioinformatics, Computational Biology, or Computer Science and 2-4 years of related experience. Candidates with Master’s degree and/or doctoral degree in Microbiology, Molecular Biology, Microbial Genetics, or related field with strong programming knowledge also be considered. • Knowledge and experience with computerized laboratory information management systems (LIMS). • Experience serving as a data specialist with the ability to prioritize, schedule and coordinate the work of others. • Knowledge and experience with CLIA regulations and audits. Georgia Department of Public Health Commissioner and leaders encourage all employees to engage in regular wellness activities and to make lifestyle choices that promote health and well-being. The use of wellness breaks during the workday is authorized to support this philosophy and assist employees in meeting their wellness goals. A maximum of 30 minutes in a given workday may be used to engage in wellness activities, generally in the form of two 15-minute breaks or one 30-minute break. Employment Information All approved teleworking employees must reside within the state of Georgia and depending on the responsibilities of the position, must live within reasonable driving distance of the agency’s primary worksite and be able to report to the office when required. Current State employees are subject to State Personnel Board rules regarding salary. DPH accepts educational credential recognized by the Council for Higher Education Accreditation (CHEA) and/or the US Department of Education (DOE) will be considered. DPH will contact educational institutions to verify degree, diploma, licensure, etc. The candidate selected for this position may be subject to pre-employment drug screening and a criminal background check. Relocation assistance will not be provided. As an employee of DPH, in the event of an identified emergency you may be required, as a term and condition of employment, to assist in meeting the emergency responsibilities of the department. If you require accommodations under the American Disability Act (ADA), email request by the closing date of this announcement to: DPH-HR@dph.ga.gov. DPH is an Equal Opportunity Employer Due to the volume of applications received, we are unable to provide information on application status by phone or e-mail. All qualified applicants will be considered, but may not necessarily receive an interview. Selected applicants will be contacted by the hiring agency for next steps in the selection process. Applicants who are not selected will not receive notification. This position is subject to close at any time once a satisfactory applicant pool has been identified.

The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other efforts related to analysis and infrastructure as directed. The Bioinformatics Research Scientist is responsible for modifying and operating data analysis pipelines under direct supervision. Works closely with senior scientists to generate/provide analysis results and reports, project reports and perform requested custom analyses. Job Responsibilities: • Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. • Perform comprehensive NGS sequencing (including bulk and single-cell RNA-seq/ATAC-seq and ChIP-seq) analysis, algorithm implementation, programming, and quality check on data to be loaded into biomedical database. • Adopt new and improved tools and web-based applications from literatures. Learn necessary biology knowledge to facilitate bioinformatic analysis. • Assist in the evaluation of products and solutions pertaining to St. Jude's technology needs, in maintaining databases or data warehouse and project reports. • Work with stakeholders (e.g., HPFC, IS, vendors) to ensure tools are up to date and maintain databases. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance in person. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Cell Signaling Technology, Inc. (CST) is a worldwide leader in developing and commercializing antibodies, assays, and research tools. One of our most successful community initiatives is our Summer Internship Program. By employing and training students from our surrounding communities and colleges, CST is able to provide our summer interns with a positive hands-on experience in our Bioinformatics & Data Science department, where they can learn valuable skills from a multi-disciplinary team of scientists and engineers. Many of the student interns are invited to continue their internship for consecutive years, and after completing their degrees, some return to CST as full-time employees. Our internship positions are paid positions and are full-time roles, Monday-Friday. As a Bioinformatics & Data Science Intern at CST, you will tackle real-world challenges that directly contribute to our mission of advancing biomedical research. Youll explore AI and machine learning techniques, develop innovative algorithms, and build scalable data pipelines to empower scientists in making groundbreaking discoveries. This role is designed to bolster your technical skills, enhance your problem-solving abilities, and provide true interdisciplinary experienceall while making a tangible impact on CSTs success. Responsibilities: CST interns will become key contributors to the Bioinformatics & Data Science teams, engaging in a range of impactful projects and responsibilities, including: • Analyzing and interpreting large datasets from biological experiments. • Assisting in the design, development, and maintenance of bioinformatics databases and pipelines. • Developing and applying advanced bioinformatics tools and algorithms. • Writing algorithms and scripts to automate complex data analysis tasks. • Creating clear, visually engaging representations of data and analytical results. • Collaborating with research scientists and team members across disciplines. • Preparing detailed reports and presentations to share project findings. Required Skills & Experience: Must be currently enrolled in an Undergraduate program in Computer Science, Data Science, or other scientific disciplines relating to bioinformatics or computational biology. Graduate students are not eligible for this program. • Have successfully completed a college STEM (Science, Technology, Engineering, Math) class. • Should possess a passion for technology, science and learning informatics. • Exhibit strong communication and collaboration skills. Application Instructions: Applications will be accepted from December 16, 2024, to January 10, 2025 Applications will ONLY be accepted if they are submitted via the CST Career site and must include the following: • A Resume • A link to a YouTube Video (60-second video introducing yourself and describing how an internship at CST will contribute to your future goals) • 1 Letter of Recommendation • Copy of an unofficial transcript Returning interns should apply with an updated copy of their resume only. No other application material is needed. Graduate students are not eligible for this program. Note: Instructions on uploading videos to YouTube can be found by following this link. If needed, Letters of Recommendation and Unofficial Transcripts may be emailed to internships@cellsignal.com. We will accept Letters of Recommendation and Unofficial Transcripts until January 31, 2025. Returning interns are given priority but are not guaranteed a position. Projected Program Dates: May 27, 2025 - August 15, 2025 Cell Signaling Technology, Inc. is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, status as a veteran or as a member of the military or status in any group protected by applicable federal or state laws.

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses Perform robust data quality control and validation. Develop expertise in various types of sequencing data analysis (e.g. , whole genome sequencing and 3D chromatin data from short and long reads, optical mapping, and single-cell sequencing.). Other duties as assigned. Work closely with bench scientists to understand and help accomplish their research goals. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments; Scripting languages: Python or Perl; Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $71,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Payroll Title: BIOINFORMATICS PROGR 1 Department: PEDIATRICS Hiring Pay Scale $33.29 - $46.22 / Hour Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday-Friday #133492 Bioinformatics Programmer 1- Hybrid Filing Deadline: Wed 1/8/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 12/11/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 12/23/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote. DESCRIPTION Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment. The Knight lab in the Departments of Pediatrics, Bioengineering, Computer Science & Engineering, and the Halicioglu Data Science Institute uses and develops state-of-the-art computational and experimental techniques to ask fundamental questions about the evolution of the composition of biomolecules, genomes, and communities in different ecosystems, including the complex microbial ecosystems of the human body. We subscribe to an open-access scientific model, providing free, open-source software tools and making all protocols and data publicly available in order to increase general interest in and understanding of microbial ecology, and to further public involvement in scientific endeavors more generally. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. The incumbent assists with web development (JavaScript, React), Python (Django), and database creation and management (Postgres, MongoDB) and cloud-based application (AWS) technologies to develop data management and analysis workflows. Maintains software using the lab's Github account and ensures proper software development practices for in-house and shared bioinformatics analysis pipelines. This position also assists in additional analyses as needed to achieve research objectives. Performs other duties as assigned. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training or Bachelor's degree in biological science, computational/programming. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. • Basic knowledge of databases. • Basic project management skills. • Basic knowledge of modern biology and applicable field of research. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Basic knowledge of application and data security concepts. • Proficiency in Python, Javascript, and git version control systems. PREFERRED QUALIFICATIONS • Basic understanding of biological data (e.g., genetic sequences, evolutionary biology, epidemiology). SPECIAL CONDITIONS • Employment is subject to a criminal background check. • Remote work during evenings and weeks may be required. Pay Transparency Act Annual Full Pay Range: $69,500 - $123,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $33.29 - $59.15 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: • UC Sexual Violence and Sexual Harassment Policy • UC Anti-Discrimination Policy • Abusive Conduct in the Workplace