Bioinformatics Jobs

Description Who are we, and what do we do... At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. The Biologicals Discovery and Development (BD&D) department in Crop Protection Discovery and Development at Corteva Agriscience plays a critical role in the discovery, development, and optimization of microbial and small molecule natural product active ingredients. We are seeking a Microbiology Bioinformatics Analyst to join the Microbial Discovery team within BD&D at the Indianapolis Global Headquarters as we grow our pipeline of sustainable products. What You'll Do: • Act as the interface between BD&D, Corteva's Data Science Team and Genomics Technologies to deploy genomics tools to drive natural product and live microbial discovery. • Develop, adopt, and implement methods for hypothesis-driven genome mining to enhance our selection of microbial candidates for agriculturally relevant activity. • Offer tactical recommendations to microbiologists and biologists regarding genome-based strain nominations. • Stay abreast on new computational tools and identify gaps in our current approaches to Biologicals discovery. • Monitor the competitive landscape to inform the selection criteria of microbial candidates within Corteva's microbial library. • Interpret genomic data from the microbial library to predict phenotypic outputs across insecticidal, fungicidal, and herbicidal activities. • Identify and integrate state-of-the-art high-throughput technologies and computational biology workflows to continually enhance the nomination strategy. Qualifications What Skills You Need: • Ph.D. in Computational Biology, Bioinformatics, Microbiology, Microbial Ecology, or closely related scientific field. • Experience with phylogenetic analysis and large -omics data sets, particularly genomics. • Proficiency in Bioinformatics software and programming languages (i.e., Python or R). • Experience in analyzing whole genome sequence data and/or amplicon sequences. • Ability to collect and analyze data, leading to action-oriented recommendations. • Excellent communication (written and verbal), interpersonal, and technical writing skills. • Strong organizational and prioritization skills. • Experience using genomic approaches for gene discovery. • Demonstrated ability to work in both a team-setting and independently. Preferred Qualifications: • Experience working on biological products for agriculture, ideally in the field of biocontrol. • Previous industry experience. • Experience in plant pathology. • A solid understanding of biocontrol modes-of-action. Benefits – How We’ll Support You: • Numerous development opportunities offered to build your skills • Be part of a company with a higher purpose and contribute to making the world a better place • Health benefits for you and your family on your first day of employment • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays • Excellent parental leave which includes a minimum of 16 weeks for mother and father • Future planning with our competitive retirement savings plan and tuition reimbursement program • Learn more about our total rewards package here – Corteva Benefits • Check out life at Corteva! www.linkedin.com/company/corteva/life Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team

The Lead/Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development with a focus on the Genomics data. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Genomics Group from the Center for Applied... Bioinformatics at St. Jude Children's Research Hospital is looking for a highly motivated and creative Senior Bioinformatics Research Scientist or Bioinformatic Research Scientist to develop and apply innovative analytical approaches to understand the underlying mechanisms that drive pediatric cancers and other human diseases. Working for all different projects together with different PIs, employee could make a valuable difference not only to science but also to pediatric cancer patient curation and survival. Besides the various analysis tasks, we also encourage exploring newly available methods, pipeline development could result in first author, high profile publications, as long as it aligns with our ultimate goal: “Finding cures. Saving children”. The Center provides a highly interactive environment with collaborative opportunities within the centers including transcriptomics group, genomics group, and genetics group, and across basic and clinical departments, access to high-performance computing clusters, cloud computing environment, novel sequencing platforms such as long reads sequencing technologies, single-cell sequencing at both DNA and RNA level and spatial transcriptomics, innovative visualization tools, highly automated analytical pipelines powered by GPU technology and mentorship from scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. The members of this Center could work on broad areas of bioinformatics and gain valuable experiences. The members of this Center also have the opportunity to publish high-profile papers with prominent authorship and file patents for novel biomarker discoveries or novel methods for clinical diagnosis or disease treatment. Good candidates will have experience in building and optimizing analysis workflows using publicly available software/pipelines for high-throughput next-generation sequence data analysis (such as whole-genome sequencing, whole-exome, targeted sequencing and so on) under Linux/Unix environment. The successful candidate is expected to have good programming skills in Bash, Python, and R. Experience with cancer genomics is a plus. St. Jude has been frequently made up to Great Place to Work list such as in Fortune magazine’s “Best Workplaces in Health Care & Biopharma™ 2020” list and GlassDoor's "BEST PLACES TO WORK 2023" list. Salary is highly competitive (comparable to industry) and employee benefits are outstanding. This position is located at Memphis, TN, and relocation assistance is available. Responsibilities • Specific responsibilities may involve NGS data quality control, integrative analyses, data visualization, developing and evaluating analytic tools • Excellent communication skills are essential • You will work closely with St. Jude PIs to provide standardized/customized analysis, using St. Jude high-performance computing clusters or a cloud computing environment Minimum Requirements • 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. Lead Bioinformatic Research Scientist • Minimum Requirement: Bachelor's degree with 10+ 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 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Senior Bioinformatics Research Scientist • Minimum Requirement: Bachelor's degree with 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred Bioinformatics Research Scientist • 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. • Significant experience in at least one programming or scripting language and at least one statistical package, with Python preferred Other Information 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

Description Are you looking for a career that will make an impact ... The Military & Veteran’s Health Operation of Leidos is currently looking for a Bioinformatics Engineer to support biological research at the Biological Defense Research Directorate (BDRD) at the Naval Medical Research Center (NMRC) in Frederick, MD. The BDRD within NMRC facilitates biological research for the rapid detection of infectious diseases of global importance and the enhancement of global disease surveillance for early pathogen detection and response. Are you ready for unique and exciting work? The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing. Primary Responsibilities The ideal candidate shall: • Manipulate and process raw sequencing data from in-house Next Generation Sequencing (NGS) platforms (MiSeq, NextSeq500, Ion S5, PacBio, MinION), microarrays, publicly accessible databases, and/or external collaborators. • Perform quality control, assembly, annotation, etc. • Integrate high-throughput data from multiple sequencing platforms. • Use a variety of bioinformatic tools and potentially develop new software applications to solve salient problems in the field of genomics. • Download, install, and benchmark open-source software packages from a variety of sources (GitHub, SourceForge, etc.). • Assist staff scientists in summarizing research data, preparing posters, and/or presenting results via conference presentations, scientific publications, or project reports. • Attend internal meetings and teleconferences as well as external meetings with collaborators and stakeholders when deemed appropriate. • Contribute to technical reports, presentations and manuscripts for publication. • Assist with appropriate training of other personnel. • Work is to be performed on a government installation. The normal work week is Monday - Friday 0800 to 1630. • Candidates may need to work evenings and weekends on very rare occasions. If this sounds like an environment where you can thrive, keep reading for the keys to success! Required Education, Knowledge, Skills and Abilities: • Candidates must have completed a Bachelor’s or Master’s degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area. • Candidates must have at least 2-4 years of hands-on experience in Bioinformatics. • Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio. • Maintain a familiarity with next generation sequencing and microarrays. • Have excellent verbal and writing communications skills. • Be able to think independently and must have excellent problem-solving skills. • The candidate will be required to acquire, at a minimum, a SECRET classification access level. Preference will be given to a candidate who already has this clearance level. • Due to Federal contract requirements, US citizenship is required. • Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. • Be able to perform under deadlines and in austere environments. Preferred Qualifications • Experience in a military medical research laboratory is a plus. • Ability to work well independently with little to no supervision. Naval Health East - NHE Pay Range: Pay Range $63,050.00 - $113,975.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. #Featuredjob

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 20 • Standard Work Schedule: • Building: • Salary Range: $35,000 - $35,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Department of Systems Biology at Columbia University Irving Medical Center is seeking to hire a part-time Bioinformatics Analyst to work in Dr. Yufeng Shen’s lab. The Bioinformatics Analyst will participate in analysis of large-scale genomic data in genetic studies of human conditions and diseases. Responsibilities • Participate in computational and statistical model development for predicting genetic effect of genomic variation. • Participate in computational analysis of large-scale genomic data to identify risk variants and genes in human conditions and diseases, such as autism and neurodevelopmental disorders. • Maintain and improve bioinformatics pipelines for genomic variants annotation. Minimum Qualifications • Bachelor’s degree or equivalent in education and experience Preferred Qualifications • Bachelor’s degree in Science or Engineering • At least one year of experience in projects with data science or machine learning as a core component • Proficient in Python, git, and modern data science frameworks Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/Cardiology Hiring Pay Scale... $25.67 - $33.00 / Hour Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Mon - Fri #125271 Bioinformatics Programmer I Initial Review Date: Wed 9/27/2023 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 09/15/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 09/27/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain open until a successful candidate has been identified. DESCRIPTION The Department of Medicine (DOM) is the largest department within the UCSD School of Medicine and is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego School of Medicine. The department employs approximately 500 salaried faculty, 168 academic appointees, 331 residents, fellow and postdocs and 479 staff personnel. Computational biologist. Resolves routine programming problems, applying established data processing algorithms to novel data. Works on issues and projects of limited scope. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. Maintains repositories of published code and answers outside user requests. Aids in the publications of research results. Proficiency in Python, R, Linux, and git version control systems required. AWS experience is a plus. Understanding of major biological data types (genomic SNPs, single-cell RNA-seq expression, protein-protein interaction networks, ATAC-seq, Chip-seq) is required. Will design and develop bioinformatic programs and pipelines to process genomics data. Responsible for lab computer and software maintenance and coordination with other computer facilities. 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. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training, OR a Bachelor's degree in bioinformatics, biological science, computational / programming, or related area and /or equivalent experience/training. • Basic knowledge of bioinformatics methods, techniques, and data structures. • Programming experience: R, Python, Linux, bash scripting, git version control systems. • Demonstrated experience in processing and analyzing genomics data. • Proven knowledge of applications programming and web development. • Knowledge of modern biology and applicable field of research. Theoretical knowledge in molecular, cellular, or developmental biology. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Strong ability to communicate technical information in a clear and concise manner. • Basic knowledge of application and data security concepts. PREFERRED QUALIFICATIONS • Knowledge of AWS, Jupyter Notebook, HPC • Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts. • Understanding of major biological data types (genomic SNPs, RNA-seq expression, protein-protein interaction networks. • Experience analyzing singlecell and spatial transcriptomics data. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $25.67 - $53.45 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 Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html 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

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. 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. DESIRED QUALIFICATIONS: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree or a 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. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. 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 $64,480 to $97,000 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. 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. 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

Bioinformatics Scientist/ Data Scientist Vicinitas Therapeutics is a biotechnology company focused on targeted protein stabilizers known as Deubiquitinase Targeting Chimeras (DUBTACs). The company’s mission is to use this proprietary technology to solve critical problems in human health by developing next-generation disease therapies against an entire class of previously inaccessible... disease-causing proteins. Spun out of an academic-industry collaboration between Novartis Institutes for BioMedical Research and the University of California, Berkeley, Vicinitas Therapeutics is based in South San Francisco, California. For more information, visit www.vicinitas.com. We are seeking a Bioinformatics Scientist for our Chemical Biology (ChemBio) group. The ChemBio group is responsible for the production & analysis of data to aid in the design and optimization of novel bifunctional DUBTACs for protein stabilization. This analysis is performed via proteomics investigations and informatic inquiry. This position will work cross-functionally to help the ChemBio team ingest and understand the data from other departments via building user-based interfaces for the visualization of complex data. The creation of end-to-end pipelines for faster processing, quality control and automation of common procedures associated with this role will be essential to support company growth. These efforts will be primarily cloud based and supported by the candidate and their manager. This position will also assist with IT responsibilities for the entire organization. Responsibilities: • Support the team to process data, extract meaningful interpretation. • Aid in the development of visualization apps to show results of complex experiments. • Implement and maintain robust code for pipelines and automation workflows • Create databases from new and existing datasets. • Integrate databases into common workflows for later automation and statistical learning. • Cross-collaboration between departments and external contractors to achieve needs of project goals. • Support larger IT infrastructure and daily demands • Help identify bioinformatics needs within the larger team • Contribute to the overall goals of the company and bioinformatic needs. Requirements: • BSc/MSc in Computer Science, Bioinformatics or Maths/Statistics or related subjects. • 1-2 years of industry experience in either proteomics data analysis, Chemoinformatics or big data analysis and creation of visualization applications, pipelining workflows and good data/programming practices. • Experience in Python or R both preferred. • Experience with large interacting datasets. • Knowledgeable in databases and use of SQL • Knowledge of cloud-based infrastructure and containerization. Azure familiarity is highly valued. • Familiarity with robust training, testing and validation of statistical models • Comfortable with Linux command line interface and able to write simple scripts in bash. • Learning based and open to new concepts and science. • Experience with proteomics and or dealing with large 3D data structures and computing statistical measures on the data is highly valued. Expected Salary Range: $110,000-$135,000 (Compensation and leveling will be commensurate with experience and expertise and could fall outside of the stated range) In addition to competitive salaries, Vicinitas offer the following: • Annual Bonuses • Early-stage Equity • Four Medical Plan Options • Dental & Vision Coverage • Short Term and Long-Term Disability • Group Term Life Insurance • FSA Plans (medical, dependent daycare and commuter accounts) • 401k Plan • Generous Annual Holiday Schedule • Unlimited Flexible Time Off • Annual Year-end Shut Down Vicinitas provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work... • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job

The Department of Internal Medicine, Division of Infectious Diseases, is seeking a new faculty member at the Assistant Professor level. Applicants must have an M.D. degree or equivalent, from an approved LCME medical school and satisfactory completion of an Internal Medicine residency program as well as both an Infectious Diseases fellowship program and a Bioinformatics fellowship program from an... ACGME accredited program. Candidate must be eligible for Texas medical licensure and be board certified in Internal Medicine and board certified/eligible in Infectious Diseases. Appointment rank will be commensurate with academic accomplishments and experience. Consideration may be given to applicants seeking less than a full-time schedule. The successful candidate could provide clinical analytic or genomic analyses support, develop bioinformatics pipelines, and innovative bioinformatics approaches for the analysis of EMR data, design support or sequencing data, as well as interact with collaborators to develop grant applications, to write text for article submissions and to create journal-quality graphics and figures. Candidates will also provide patient care at the Moody HIV/OPAT Clinic at Parkland Health and Hospital System (PHHS), or the West Campus Clinic at UT Southwestern and provide inpatient care at both Clements University Hospital and Parkland Hospital. Other duties will include sharing ward attending duties in both Internal Medicine and Infectious Diseases and the teaching and training of medical students, house staff, and residents. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status

Payroll Title: CMPTL AND DATA SCI RSCH SPEC 4 Department: CLINICAL TRANSLA RESEARCH INST Hiring Pay Scale... $90,000.00 - $134,800.00 /Year Worksite: East Campus (La Jolla) Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday #127022 Senior Bioinformatics Scientist Filing Deadline: Wed 12/20/2023 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 12/08/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 12/20/2023. 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 La Jolla and remote. DESCRIPTION The Center for Computational Biology & Bioinformatics (CCBB) in the Altman Clinical and Translational Research Institute (ACTRI) provides bioinformatics support for UCSD investigators and affiliated institutions, training of scientists in computational biology and bioinformatics, and the development of novel algorithms for large-scale bioinformatics datasets. A special focus is on the analysis of next generation sequencing data, especially in the context of translational medicine. The incumbent will collaborate with UCSD School of Medicine faculty and investigators by performing analysis of next-gen sequencing and high-throughput datasets at the UCSD Center for Computational Biology & Bioinformatics. These data include bulk and single cell RNA-seq, ChIP-seq, ATAC-seq, proteomics, GWAS, and whole-exome and whole-genome datasets. The incumbent is responsible for performing analysis of data, biological interpretation of analysis results, interfacing with faculty and investigators, collaborating on preparation of scientific manuscripts, and developing and implementing data analysis methods using cloud computing and high performance computing. Stays current on newly developed genomics tools and software. Gives technical presentations to associated research and technology groups and management. May represent the organization as part of a team at national and international meetings, conferences and committees. Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science projects. Applies advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development which involve in-depth evaluation of variable factors impacting medium to large projects of broad scope and complexities. Designs, develops, and optimizes components / tools for major HPC / data science / CI projects in diverse research application areas. Resolves complex research and technology development and integration issues. Gives technical presentations to associated research and technology groups and management. Evaluates new hardware and software technologies for advancing complex HPC, data science, CI projects. May represent the organization as part of a team at national and international meetings, conferences and committees. Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects. May lead a team of research and technical staff. A successful candidate has a passion for research, a strong background in biology, has experience running bioinformatics pipelines on high performance compute clusters, and is able to effectively interpret and communicate complex results to non-technical colleagues. MINIMUM QUALIFICATIONS • Nine years of related experience, education/training, OR an Bachelor’s degree in related area plus five years of related experience/training. • Advanced knowledge of HPC / data science / CI. • Highly advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools of large-scale scope. • Demonstrated ability to regularly, effectively communicate with unit-level management. • Demonstrated ability to initiate research proposals and acquire funding. • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. • In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles. • Self-motivated and works independently and as part of a team. • Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base. • In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills. • In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs. • Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. • Expert knowledge and research experience with NGS data analysis in the areas of genome analysis, transcriptomics and/or epigenomics. PREFERRED QUALIFICATIONS • Ph.D. degree in Biology / Bioinformatics / Computer Science or related field preferred. SPECIAL CONDITIONS • Employment is subject to a criminal background check and pre-employment physical. Pay Transparency Act Annual Full Pay Range: $87,000 - $202,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $41.67 - $97.03 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. 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