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 bioinformatics group in the Department of Biomedical and Health Informatics (DBHI) at Children’s Hospital of Philadelphia (CHOP) is seeking a Bioinformatics Scientist to join our team to support ongoing basic and translational research within the Center for Childhood Cancer Research (CCCR) and the Department of Anesthesiology and Critical Care Medicine. The candidate will be embedded in the laboratories of Dr. Caroline Diorio and Dr. Robert B. Lindell and will support scientific projects focused on immune dysregulation disorders related to infection, or due to cancers or cancer therapies. Major areas of focus will be CAR-T and cytokine release syndrome/immune effector cell associated neurotoxicity syndrome, and the immunologic phenotypes of sepsis. The candidate will attend lab meetings and interact daily with principal investigators and individual lab members. Additionally, the candidate will work with a principal investigator overseeing the bioinformatics group in the CCCR and our extended bioinformatics group in DBHI to stay current on emerging technologies and algorithms. The successful candidate will preferably have a MS degree in Bioinformatics, Computational Biology, or a related field, and must have demonstrable skills in coding in R and/or Python, though both are preferred. The successful candidate will have had biology training, experience with high-performance and/or cloud-based computing environments and will be expected to analyze data generated from proximity extension assays (i.e. Olink), bulk RNA sequencing, and multiparameter flow cytometry. Additionally, the successful candidate is expected to have experience with single cell RNA sequencing somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusion transcripts, or copy number analyses as well as experience in other types of bioinformatics analyses, particularly those involving next-generation sequencing. The successful candidate will have experience with established algorithms/pipelines processing genomics data, and the ability to learn and apply new methods. They will also be able to conceive and develop innovative solutions for a variety of computational challenges of these data and develop creative data visualizations. Strong communication, time-management, and presentation skills are essential. Knowledge of cancer biology and/or genomics is preferred. The Bioinformatics Scientist I position is an entry level position for a non-PhD level professional. The focus of the position is development, maintenance, and evolution of the tools that support management and analysis of genomic, proteomic, and other complex molecular data types. This includes the support of internal bioinformatics software, implementation and modifications of existing algorithms, and execution of routine tasks of limited complexity within the general area of bioinformatics analysis. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. All activities occur with a moderate to high degree of supervision and the individual will rely on a high degree of peer-to-peer mentorship. The Bioinformatics Scientist I is primarily focused on the support of higher level bioinformatics personnel but may have minor direct interaction with collaborators and designees to resolve primarily technical issues and solutions. What you will do • Pre-Analysis (40%): Contributes to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provides efficient data management support. • Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows. • Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline. • Executes robust development testing for commonly used applications such as data processing pipelines. • Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters. • Defines and prioritizes requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users. • Identifies appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users. • Implements and maintains commercial and open-source software for common bioinformatics and genomics data analysis. • Implements, updates and maintains locally stored data resources required for various analysis tasks. • Provides ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows. • Provides efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources. • Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems. • Continually keeps abreast of evolving data generation platform fundamentals, file-specific information representation, and strategic application of code base to optimize value of data. • Maintains working knowledge of available commercial and openly accessible knowledge bases as they apply to bioinformatics analysis. • Coding (30%): Codes and generally supports both ad hoc, single task applications and larger pipeline applications that may combine multiple 3rd party and internally developed applications for genomics/proteomics/other complex data types and projects. • Implements, maintains, and regularly contributes to formal and bioinformatics group-centralized code management system. • Adopts appropriate forking and other strategies for robust code development. Apply to general bioinformatics group code base. • Adopts best practices for code development consistent with larger bioinformatics group. This includes choice of language based on the type of solution being developed, the likely life cycle and downstream usage of the resulting application, and integration with other systems. • Ensures that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system. • Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system. • Develops and implements automated data-driven testing processes that test reproducibility of results between versions of pipeline software. • Develops and implements automated deployment processes that build and configure systems from source control repositories, eliminating the need to manually modify configuration files. • Regularly documents code, troubleshoot, and provide training when necessary. • Data Analysis (10%): Analyzes data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data under supervision from mentors and peers. • Develops robust analysis plans under supervision. • Incorporates QA/QC in analysis workflows. • Delivers analytical endpoints such as feature identification, annotation, characterization, prioritization, etc. • Reports results using, primarily, spreadsheets and, secondarily, abstracted materials such as slides and visuals. • Collaboration (10%): Works with both bioinformatics group members and end users/clients to understand specific needs in bioinformatics and end user-specific domains. • Attends group and team meetings and contributes primarily factual information regarding processes and approach. • Defers to mentors and peers in establishing relationships, but works within boundaries to accomplish analytical goals. • Academic Output (10%): Contributes to presentations, grants, and manuscripts under supervision by mentors and peers. Education Qualifications • Bachelor's Degree Required • Master's Degree biological or computational discipline Preferred Experience Qualifications • At least one (1) year in applied bioinformatics, computational, and genomics/proteomics experience. Preferred Experience • Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. • Knowledge of cancer biology and/or genomics. Skills and Abilities • Strong UNIX/LINUX expertise required. • Experience with R strongly preferred. • Experience with Python, Perl, or other languages preferred. • Experience with pipeline or workflow development frameworks preferred. • Experience with data management preferred. • Familiarity with open source and commercial bioinformatics resources and software preferred. • Experience with genomic data analysis preferred. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is preferred. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to work in a team environment. 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

Bioinformatics and Molecular Data team is a growing group at the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI). The team addresses unmet needs for bioinformatics, data management, data mining and analysis across research, clinical, and operational units. It accelerates use of bioinformatics and data science methods, data, and tools within DFCI, bridging the gap... between research and clinical practice and helping design and implement operational solutions. The group encompasses expertise in bioinformatics, data science, machine learning, and software engineering. It works with some of the most prominent research and clinical DFCI programs, from basic research to translational research, to clinical diagnostics and operations. We look for an intelligent, hard-working, and dynamic individual to fill the role of Bioinformatics Scientist in the team. The successful candidate will support key initiatives relying on genomic data, have the ability to lead projects and potentially, in the future, may lead other people within the team. Specifically the role will work on an exciting new initiative to develop a cloud-based bioinformatics analysis platform. The platform will enable DFCI researchers to easily manage and analyze their genomic and biomedical data in the cloud environment, build and run analysis workflows and visualize the results. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The successful candidate will have proven experience in managing and independently executing complex bioinformatics tasks in the frame of Bioinformatics Workbench project. The role’s responsibilities will include: • Owning and leading various projects, serving as a subject matter expert. • Developing and implementing bioinformatics tools and pipelines in cloud environment. • Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors. • Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects. • Collecting, analyzing, interpreting, and integrating complex biomedical data. • Delivering results for projects and generating relevant reports. • Working as a part of the broader team to identify and implement longer-term solutions that will improve quality, speed and efficacy of our current projects and programs through evaluating and benchmarking new software tools and pipeline development. • Contributing expertise to DFCI software code base and communities of practice. Minimum Education: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master’s degree with 1 year experience required; PhD with 0 years. • Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems. • Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus. • Working knowledge of IA and machine learning approaches used in bioinformatics research • Experience in one or more areas of cancer research, including solid tumors, hematologic malignancies, patient-derived cancer models, biomarker discovery, etc. is a major plus. • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. • Proven ability to work independently, prioritize, and manage people if needed, within an environment with evolving priorities. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. EEOC Poster

Payroll Title: BIOINFORMATICS PROGR 1 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $67,200- $80,000 / Year Worksite: Hybrid Remote Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday - Friday #127950 Bioinformatics Programmer Filing Deadline: Mon 2/19/2024 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 02/08/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 02/19/2024 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 UCSD Campus and remote. Depending on the experience of the selected candidate, this position will be hired at the 9403 - BIOINFORMATICS PROGR 1 or 9402 - BIOINFORMATICS PROGR 2 level. DESCRIPTION The mission of the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of cancer and other human diseases. Epigenomics is at the forefront of Precision Medicine. The epigenome, a term referring to the state of DNA methylation and the covalent modifications of histone proteins in a cell, plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions and during aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The UCSD Center for Epigenomics will work with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the direction of its Senior Associate Director, the incumbent will help in implementing, running, customizing, and optimizing data analysis pipelines for genomic and epigenomic assays such as single cell RNA-seq and single cell ATAC-seq. The incumbent will help to perform integrative data analysis and assist to prepare results for oral presentation, scientific publications, and grant applications. CT - 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 • Bioinformatics 1 Level - Four years of relevant experience or a Bachelor's degree in biological science, computational / programming, or related area and /or equivalent experience / training. • Bioinformatics 2 Level - Six years of relevant experience or a Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training plus two or more years of relevant experience. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. • Basic knowledge of databases. • Basic project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail. • 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. Experience with science outreach, teaching, and websites (e.g. Wordpress) a plus. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. Ability to effectively prioritize workload and meet deadlines despite interruptions and competing demands. • Basic knowledge of application and data security concepts. • Basic knowledge in genomics, biostatistics, molecular biology, and/or genetics. • Ability to work in a dynamic "startup" atmosphere. • Basic knowledge in analyzing next generation sequencing data. Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus. • Basic knowledge in statistics and programming languages such as Python, Perl, R, and Bash. Proficiency in commonly used tools for NGS analysis and visualization such as STAR, HOMER, Rshiny, etc. Proficiency in running analysis on an HPC. Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus plus (e.g. SQL Server, HTML). SPECIAL CONDITIONS • Job offer is contingent upon satisfactory clearance based on Background Check results. • Occasional holidays, weekends, evenings, nights, and on-call may be required Pay Transparency Act Annual Full Pay Range: $67,200 - $119,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $32.18 - $57.28 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

Title: Global Bioinformatics Leader Location: RTP, NC... Year(s) Experience: 10-15 Fulltime, Benefits, Relocation Assistance, Bonus Potential Great opportunity to join a global industry leader, as the champion for strategic development and management of the Global Bioinformatics Group. As the Group Leader, you will drive the innovation of bioinformatics and genomics capabilities for research, development, and delivery of products for multiple sites. The successful Leader will have a Ph.D. in bioinformatics, genomics, or computational biology, and 10+years’ experience in industrial biotechnology or related Industrial R&D life science environments. Requires extensive leadership skills and knowledge of bioinformatics, genomics and pan-genomics, transcriptomics, metabolomics, systems biology, data integration and computational sciences. Responsibilities: — Lead the integration, analysis, and interpretation of genomics, transcriptomics, metabolomics and other complex datasets for product discovery and research. — Champion, prioritize and coordinate bioinformatics research programs and strategy across diverse scientific, professional and cultural backgrounds. — Manage the Bioinformatics Team performance; create and administer individual development plans and group activities within the organizational framework. Cultivate an effective team environment and promote the full engagement of team members across disciplines at all levels and across multiple sites. — Lead the development and implementation of bioinformatics and genomics research strategies in support of key business priorities. — Partner with IT department to provide research subject matter expertise and prototyping in the development of new and innovative bioinformatics tools. — Drive the development and utilization of pan-genomics capabilities to enhance breeding and trait discovery. — Build partnerships with internal businesses and with IT to drive innovations from bioinformatics research into the product pipelines. — Participate on the Computational Biology Leadership Team, to develop and implement computational science strategy, including the convergence of genomics, genetics, and predictive modeling capabilities. — Provide technical knowledge to scout and evaluate new opportunities in bioinformatics and be the in-house expert on competitor’s activities in this area. — Develop and manage operational and capital budget for the Bioinformatics Group. — Communicate research plans, drivers, and progress to business stakeholders, project leaders, research managers and technical partners. Qualifications: — Ph.D. in bioinformatics, genomics, computational biology or related field, and 10+years Leadership experience in the area of industrial biotechnology or other R&D life science environments (pharmaceuticals, agrichemicals, plants, consumer products, nutraceuticals, etc.) — Extensive experience in large-scale bioinformatics research, including management, integration, and mining of genomics, transcriptomics, metabolomics and other complex datasets to generate knowledge. — Demonstrated success in leading a complex, results-oriented research program and scientific team requiring creativity, innovative thinking, organization and collaborative skills. — Leadership experience in partnering and working with global cross-functional and cross-cultural teams. — Project and portfolio management knowledge in a matrixed organization (cross-functional, cross-site, cross-business) and technical environment. — Requires domestic and international travel (20%) — Must be authorized to work in the US

Description Zifo is hiring! We are searching for a talented Bioinformatics Analyst to join our team. This individual will collaborate closely with our Bioinformatics Consulting team to devise and implement solutions for life sciences customers (Pharma, Biotech, FMCG, etc.) in the OMICS field within the United States and Canada... Requirements Responsibilities: Omics Data Analysis: • Perform omics data analysis, from processing raw data to .vcf/generating read/counts/expression profiles. • Perform data normalization, transformation, and statistical bioinformatic analyses as needed. • Perform detailed analyses of genomic, transcriptomic, or proteomic sequences using various bioinformatics tools and techniques. • Develop and implement bioinformatics pipelines using workflow management systems such as Nextflow, CWL, WDL, and Snakemake for the systematic analysis of biological data. Omics Data Engineering: • Possess a good understanding of various omics public databases such as KEGG, Reactome, PDB,etc. and extract relevant information for ingestion and integration. • Contribute to the development of omics data engineering methods, including knowledge graphs. • Build visualizations using power BI/Tableau/Shiny, etc. • Team Collaboration: Collaborate with cross-functional teams to ensure data quality, provide insights, and contribute to research projects and scientific publications. • Continuous Learning: Stay updated with the latest advancements in bioinformatics, molecular biology, and data analysis tools/methodologies. • Adaptability and Learning: Demonstrate a proactive approach to learning and quickly adapt to new technologies and methodologies in the field. Requirements: • Bachelor's or Master’s degree in bioinformatics, Computational Biology, Biological Sciences, or a related field. • 2-4 years of hands-on experience in bioinformatics with a focus on building bioinformatics pipelines. Demonstrated understanding of fundamental concepts in genetics/genomics, molecular and cellular biology, and bioinformatics. • Proficiency in analyzing bioinformatics data such as DNA/RNA/Proteins. Understanding of systems biology tools such as Mol star is a plus. • Strong knowledge and experience in using OMICS databases. Familiarity with OMICS data engineering methods like knowledge graphs or related techniques is a plus. • Solid programming skills in languages such as Nextflow, CWL, WDL, Python, R, or others commonly used in Bioinformatics. • Excellent problem-solving abilities, attention to detail, and effective communication skills. • Customer centricity to deliver at the highest standards and elevate customer experience. • Proficiency in customer coordination and management is essential for this role to ensure exceptional service delivery and client satisfaction. • Proven ability to work both independently and collaboratively in a team environment. Benefits About Zifo: CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies. We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts. If you share these sentiments and are prepared for the atypical, then Zifo is your calling! Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Payroll Title: BIOINFORMATICS PROGR 3 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $91,300 - $164,300 / Year Worksite: Hybrid Remote Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday- Friday #127892 Bioinformatics Scientist Filing Deadline: Mon 2/19/2024 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 02/08/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 02/19/2024. 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 UCSD Campus in La Jolla, CA and remote. Depending on experience of the selected candidate, this position will be hired at the BIOINFORMATICS PROGR 3 level or BIOINFORMATICS PROGR 4 level. DESCRIPTION The mission of the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of cancer and other human diseases. Epigenomics is at the forefront of Precision Medicine. The epigenome, a term referring to the state of DNA methylation and the covalent modifications of histone proteins in a cell, plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions and during aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The UCSD Center for Epigenomics works with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the direction of the Senior Associate Director, the Bioinformatics Scientist will combine expertise in programming, informatics, and biology to make independent, original contributions to the design and implementation of research studies. The incumbent will be responsible for implementing, running, customizing, and optimizing data analyses pipelines for next generation sequencing (NGS) data from epigenomic assays such as ChIP-seq, RNA-seq, ATAC-seq, Whole Genome Bisulphite Sequencing, PLAC-seq, as well as single-cell RNA- seq and single-cell ATAC-seq. The incumbent will work with supervisors as well as with external collaborators to design and implement integrative data analyses, and prepare results for oral presentation, scientific publications, and grant applications. In addition, the incumbent will help computational resources for the Center by contributing to server maintenance, assisting with internal sample tracking, assessing whether computational resources are sufficient to meet needs, and advising on the purchase of additional resources when necessary. The incumbent will be expected to directly interface with collaborators and larger research consortia regarding data standards, sharing, and dissemination. MINIMUM QUALIFICATIONS • BIOINFORMATICS PROGR 3: Seven years of related experience, education/training, or a Bachelor’s degree in related area plus three years of related experience/training. • BIOINFORMATICS PROGR 4: Eight years of related experience, education/training, or a Bachelor’s degree in related area plus four years of related experience/training. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. Thorough theoretical knowledge and independent experimental ability to perform applied bioinformatics in a molecular biology research laboratory or an equivalent combination of education and experience. Strong theoretical knowledge in genomics, biostatistics, and/or computational biology. • Thorough knowledge of bioinformatics programming design, modification and implementation. Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. Ability to communicate effectively with diverse project partners, on the phone, in person and in writing. Ability to communicate technical information in a clear and concise manner. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. • Demonstrated experience in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based database systems (e.g. SQL Server, HTML) is a plus, but not required. • Demonstrated experience generating data reports and data algorithms to generate, abstract, manipulate and analyze complex data types. Proven ability to research, comprehend, gather and organize information to produce clean and concise reports and presentations. • Demonstrated conceptual/theoretical experience in bioinformatics analysis. Demonstrated experience analyzing NGS data. • Thorough knowledge of database development and maintenance and proven experience with biological databases used in biomedical studies • Proficiency with computer hardware and software including different operating system environments (such as Mac, Windows and UNIX). Proven ability to update skills and knowledge as needed. • Enthusiasm and ability to work in a dynamic "start-up" atmosphere similar to what might be found in the biotechnology sector, yet within a vibrant academic research University. • Demonstrated ability to troubleshoot and problem solve in computational work. • Exceptional organizational, problem solving, and analytical skills, and attention to detail. Demonstrated ability to manage large volume of work across multiple projects with multiple teams and collaborations efficiently and meet deadlines with frequent interruptions and changing priorities. • Strong decision making skills and ability to use independent judgment and discretion to quickly set priorities and establish new procedures when needed. Demonstrated ability to research, analyze, recommend, communicate, and implement solutions. Must be able to function successfully with minimal direction. • Demonstrated ability to make innovative contributions to the design of research projects and data analysis strategies. PREFERRED QUALIFICATIONS • PhD degree in Bioinformatics, Computational Biology, or related field. Candidates without a PhD but with exceptional work experience in bioinformatics may also be considered. SPECIAL CONDITIONS • Employment is subject to a criminal background check. • Occasional evenings and weekends may be required. Pay Transparency Act Annual Full Pay Range: $91,300 - $170,700 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $43.73 - $81.75 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 Duke Clinical Research Institute (DCRI), in partnership with Duke University and the Department of Biostatistics and Bioinformatics (B&B), is investing in the growth of Data Science and... Biostatistics (DS&B). We invite applications for multiple career track faculty positions at any rank in the areas of (1) clinical trial innovation, including complex adaptations, integration of real world evidence, novel endpoints and outcomes; (2) application of generative AI and other new technologies to improve and enhance the clinical research process; (3) clinical research informatics, data engineering, harmonization and architecture; (4) leadership of data/research coordinating centers in trials, registries, consortium and multi-center studies. Successful applicants will join a team of fifteen faculty who are affiliated with DS&B at DCRI, with opportunities for career advancement, leadership of scientific initiatives, and strategic partnership with the clinical therapeutic areas at DCRI. The extensive graduate programs at Duke University, including the B&B Master’s and PhD programs provide opportunities to engage with students. Joint appointments with other departments are possible for appropriate candidates. We are seeking candidates with relevant expertise and commitment to at least one of the following focus areas, however we encourage diverse scientific interests that may encompass multiple domains including these and others. Strong candidates will demonstrate a commitment to innovation and leadership of collaborative clinical research that is synergistic with their independent research. Clinical trials innovation focus: clinical trial innovation, including complex adaptations facilitated by Bayesian methodology, integration of real world evidence, novel endpoints and outcomes. Applicants should hold a Ph.D. in Biostatistics, Statistics, Epidemiology or a related field by the date of the start of their appointment. Data Coordinating Center focus: leadership of data/research coordinating centers in trials, registries, consortium and multicenter studies. Applicants should hold a Ph.D. in Biostatistics, Statistics, Epidemiology or a related field by the date of the start of their appointment. AI focus: enhancing the clinical research process by development of AI solutions, application of AI/ML, generative AI and application of other new technologies. Applicants should hold a Ph.D. in Computer Science, Data Science, Computer Engineering, Statistics, Biostatistics, Biomedical Informatics, or a related field by the date of the start of their appointment. Clinical Research Informatics focus: clinical research informatics, health informatics, data engineering, harmonization and architecture. Applicants should hold a Ph.D. in Biomedical Informatics, Data Science, Bioinformatics, Computer Engineering, Biostatistics, Epidemiology or a related field by the date of the start of their appointment. The application package should include a cover letter accompanied by an up to one-page diversity statement, a curriculum vitae, and a three-page statement of research (organized as one page summary of past research accomplishments and a two-page summary of your future research plans). New graduates are encouraged to submit up to 3 letters of recommendation in support of their application. The diversity statement should address (1) What experience and interpersonal skills the candidate has that will support equity, diversity and inclusion (EDI) in the workplace; (2) How their scientific work contributes or will contribute to advancing equity. Please find additional materials about EDI at DCRI and B&B here: https://dcri.org/about/who-we-are/, https://dcri.org/about/25th-anniversary/health-equity/, https://biostat.duke.edu/about/equity-diversity-and-inclusion. Review of applications is ongoing. Applications are welcome

Come to work each day with an inclusive and collaborative business technology team. As an Bioinformatics Lead Scientist in AbbVie Business Technology Solutions (BTS), you'll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. The Scientific Informatics group at ABC... supports R&D activities at the AbbVie Bioresearch Center that focuses on immunology and biologics therapeutic development. Our mission is to transform healthcare through the development of groundbreaking therapies that improve patient outcomes. We are seeking a highly skilled Lead Bioinformatics Scientist with expertise in biologics drug discovery and sequence analysis to join our dynamic team. As the Lead Bioinformatics Scientist, you will play a pivotal role in driving our biologics drug discovery programs forward by leveraging advanced bioinformatics techniques and managing a team of talented junior developers, data scientists, and bioinformaticians. The successful candidate will collaborate closely with cross-functional teams to analyze complex biological data, identify key patterns, and contribute to the development of novel therapeutic approaches. Candidate Responsibilities: Team Leadership: Lead and mentor a team of 1-2 junior developers, data scientists, and bioinformaticians. Foster a collaborative and innovative team culture to achieve departmental and company objectives. Provide technical guidance, training, and support to team members. Biologics Drug Discovery: Design and implement bioinformatics strategies for the analysis of biological data related to biologics drug discovery. Collaborate with research and development teams to integrate bioinformatics insights into drug discovery pipelines. Stay abreast of industry trends and advancements in biologics drug discovery to drive innovation within the team. Sequence Analysis: Develop and implement cutting-edge algorithms and tools for the analysis of biological sequences. Utilize sequence analysis techniques to extract meaningful information and contribute to the understanding of therapeutic targets. Stay current with emerging technologies and methodologies in sequence analysis. Collaboration: Work closely with cross-functional teams, including molecular biologists, chemists, and computational scientists, to achieve project goals. Communicate complex bioinformatics concepts and findings effectively to non-expert stakeholders. Qualifications: • B.S. in STEM with a minimum of 7 years experience or, Masters Degree in STEM with 6 years of experience or, PhD in STEM with 2 years of experience. • Proven expertise in bioinformatics with a focus on biologics drug discovery and sequence analysis. • Strong programming skills in languages such as Python, R, or Java. • Experience with relevant bioinformatics tools, databases, and resources. • Demonstrated leadership experience in managing and mentoring multidisciplinary teams. • Excellent communication and collaboration skills. Why Business Technology Solutions For anyone who wants to use technology and data to make a difference in people's lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we're ready for you

Overview RTI International’s Center for Informatics has an opening for Bioinformatics Lead to develop and support technical projects that involve interdisciplinary approaches and range widely in bioinformatics applications, size and scope. This role will lead and contribute to projects with federal/state agencies, research universities and the wider bioinformatics community that seek to sue and... advance interoperable healthcare data for research and clinical care. Candidate would support proposal development and project delivery through designing, developing, modifying, adapting and implementing short- and long-term solutions to interdisciplinary teams. These projects and proposals will focus on developing systems using informatics approaches to support our ability to organize, find, and analyze biological data. Additionally, the role addresses information technology (IT) needs through creation and enhancement of applications, systems architecture, network systems and applications infrastructure in collaboration with central IT groups within RTI. Responsibilities Responsibilities: • Reviews system requirements and business processes; codes, tests, debugs and implements software • Designs, develops, tests, debugs and implements operating systems components, software tools and utilities and/ or mentors staff on related tasks. • Determines systems software design • Ensures that system improvements are successfully implemented and monitored to increase • Generates systems software engineering policies, standards and • Seeks out new business development opportunities. • Oversee and mentor informatics staff on projects and technical implementations. Qualifications Qualifications: • Bachelor’s degree in Informatics, Bioinformatics, Computer Science, etc and 12 years of relevant experience or combination of education of experience. This includes a Master’s degree and 10 years or a PhD and 6 years of experience. • Excellent knowledge of MS Word, Outlook, PowerPoint, • Ability to prioritize multiple • Ability to work well with • Ability to listen and communicate well both verbally and in • Ability to work • Attention to detail and • Ability to obtain proper security clearances as noted by • Demonstration of the RTI Values and Lead Forward behaviors by all employees is critical to the Institute’s Behaviors associated with our Values and Lead Forward can been found on RTI Insider and Careers page. Preferred Specialist Skills: • Expertise in developing complex technical solutions focused on data-driven decision making and metadata management • Bioinformatics expertise • Workflow development languages (WDL) • Machine Learning and Natural Language Processing experience #LI-KV1 EEO & Pay Equity Statements For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here. The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer. At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance. Equal Pay Act Minimum/Range $137,000 - $169,000

Bioinformatics Engineer 8945 Client Durham (RTP), NC... Qualifications: - B.S. in Bioinformatics or a closely related discipline - M.S. preferred - Minimum 3 years' experience in a sequencing center/group. - Knowledge of R a plus. Strong programming skills including knowledge of a scripting language such as Python or Perl Ability to interact with a diverse scientific team Be self-motivated Responsibilities: - Help design and automate next generation sequencing pipelines - Construct and manage databases - Test, evaluate, and document Client software applications - Populate databases with existing data Thanks and regards