Bioinformatics Jobs

Job Summary The Bioinformatics Software Engineer is responsible for developing and maintaining bioinformatics software, databases, and tools. They assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data, collaborating with research and clinical review teams to analyze experimental data and interpret results. Additionally, they contribute to the integration of bioinformatics tools with other platforms and technologies, document and report on software development processes and data analyses and stay updated with the latest bioinformatics software and techniques. KEY RESPONSIBILITES Develop and maintain bioinformatics software, databases, and tools. Assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data. Collaborate with research and clinical review teams to analyze experimental data and interpret results. Contribute to the integration of bioinformatics tools with other platforms and technologies. Document and report on software development processes, data analyses, and results. Participate in team meetings and provide insights and updates on project statuses. Stay updated with the latest bioinformatics software and techniques. Qualifications Required Education: Bachelor's degree or higher in Bioinformatics, Computer Science, or a related field. Experience: Proficiency in programming languages such as Python, R, or Java. Prior clinical lab experience preferred but not required COMPETENCIES Experience in developing and maintaining bioinformatics software, databases, and tools. Familiarity with data processing pipelines for genomic, transcriptomic, and proteomic data. Strong analytical and problem-solving skills. Ability to collaborate effectively with research and clinical review teams. Knowledge of bioinformatics tools and techniques. Excellent documentation and reporting skills. Ability to stay updated with the latest advancements in bioinformatics software and techniques. Experience with version control systems such as Git is a plus. PHYSICAL DEMANDS AND WORK ENVIRONMENT Frequently required to sit, stand, utilize hand and finger dexterity, talk, or hear. Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard. Occasionally exposed to bloodborne and airborne pathogens or infectious materials. EEO Statement Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.

About the job Remote | Bioinformatics Scientist (Genomics & Statistical Genetics) — Up to $75/hour We are sharing a specialised part-time consulting opportunity for PhD-level computational genomics and bioinformatics professionals with deep expertise in statistical modelling, biological data analysis, R, Python, and reproducible computational research. This role focuses on completing realistic, multi-step scientific analysis workflows across computational genomics, quantitative biology, and translational biomedicine. Selected experts will work from complex biological datasets through quality control, statistical analysis, interpretation, and structured scientific reporting. Key Responsibilities Computational Genomics Analysis Complete complex data-analysis tasks involving genomics and biomedical datasets Work with sequencing, single-cell, population-genetics, QTL/GWAS, and related omics data Analyse biological datasets from initial inspection through final interpretation Identify relevant biological signals, analytical limitations, and potential confounders Apply appropriate computational methods to realistic research questions Statistical Bioinformatics Select and apply appropriate statistical methods for biological and biomedical data Develop and evaluate statistical models for complex genomic datasets Assess assumptions, uncertainty, model limitations, and robustness Distinguish meaningful biological findings from technical or statistical artefacts Apply rigorous scientific inference throughout multi-stage analyses Data Quality & Exploratory Analysis Inspect raw or messy datasets for completeness, structure, and data-quality issues Perform quality control and exploratory data analysis Identify outliers, batch effects, missingness, confounding, and other analytical challenges Determine appropriate preprocessing and transformation strategies Document key analytical decisions and their implications R & Python Workflows Develop and execute scientific analysis workflows in R and Python Write, debug, and explain analysis code Use relevant statistical, genomic, and scientific software libraries Build reusable scripts and structured computational workflows Validate analytical outputs for correctness and reproducibility Scientific Workflow Design Navigate ambiguous research problems requiring independent analytical judgement Determine appropriate analytical steps when workflows are not fully specified Identify alternative approaches and evaluate their strengths and limitations Progress from raw data through modelling, interpretation, and final output Ensure analytical choices remain aligned with the underlying scientific question Biological & Translational Interpretation Interpret statistical results within their biological or translational context Connect quantitative findings to underlying mechanisms or research objectives Communicate assumptions, uncertainty, limitations, and conclusions clearly Avoid overinterpretation of weak or incomplete evidence Produce conclusions that accurately reflect both statistical and biological evidence Reproducible Research & Documentation Create reproducible scientific analyses using scripts, notebooks, and structured workflows Document methods, assumptions, parameters, and analytical decisions precisely Use command-line tools and remote computational environments where appropriate Maintain clear provenance between source data, transformations, analyses, and conclusions Apply version-control or workflow-management practices where relevant Ideal Profile PhD required in computational biology, bioinformatics, statistical genetics, quantitative biology, biostatistics, genomics, or a closely related field Deep hands-on experience analysing biological or biomedical datasets Strong experience with genomics, sequencing, single-cell, population genetics, QTL/GWAS, or related omics workflows Professional fluency in R and Python Ability to write, debug, and explain scientific analysis code Strong foundation in statistical modelling, experimental design, quality control, and scientific inference Demonstrated ability to independently complete multi-step computational research workflows Strong experience working from raw or imperfect data through final scientific interpretation Clear scientific writing and ability to document methods, assumptions, and results precisely Familiarity with notebooks, scripts, version control, workflow tools, or other reproducible-research practices is advantageous Comfortable collaborating with multidisciplinary scientific and technical teams Engagement Details Part-time independent contractor engagement Fully remote Open to qualified experts globally Flexible scheduling based on project requirements Compensation: Up to $75/hour Project-based work involving computational genomics, statistical bioinformatics, quantitative biology, and translational biomedical analysis Work may include data inspection, quality control, statistical modelling, coding, scientific interpretation, and structured reporting Projects may be extended, shortened, or concluded based on project needs and performance Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party H1-B and STEM OPT support is unavailable for this engagement About the Platform This opportunity is available through 24-MAG LLC. 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Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. How will you make an impact? We are seeking a highly motivated Scientist III with expertise in systems biology, multi-omics integration, and metabolic modeling to accelerate next-generation cell culture media and process development. The successful candidate will join a multidisciplinary team to expand our in-house AI-enabled systems biology platform for biologics development. This role will focus on integrating transcriptomics, proteomics, metabolomics, and bioprocess data to uncover biological mechanisms governing cell growth, productivity, metabolism, and product quality. The successful candidate will develop kinetic and mechanistic metabolic models, apply computational approaches to interpret complex biological datasets, and support AI-guided cell culture media optimization. The ideal candidate will combine a strong understanding of mammalian cell biology and metabolism with computational and data science expertise to generate actionable insights for upstream process development. What will you do? Maintain and expand an in-house multi-omics platform tool focused on integration of transcriptomics, proteomics and metabolomics.Integrate multi-omics datasets with genome-scale metabolic models (GEMs) and other computational frameworks to improve biological interpretation and identify opportunities for media and process optimization.Collaborate with cell culture scientists to design and interpret multi-omics studies supporting cell line development, media optimization, and upstream process development.Collaborate with cell culture scientists, data engineers and analytical teams to support big data analysis, pathway interpretation, and upstream bioprocessing applications. How will you get here? Education Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field. PhD is preferred but not required.Experience At least 3 years of relevant industrial or academic experience.Strong background in systems biology, computational biology, metabolic modeling, or bioinformatics.Experience integrating multi-omics datasets, including transcriptomics, proteomics, metabolomics, and/or fluxomics.Experience developing or applying kinetic models, genome-scale metabolic models (GEMs), metabolic flux analysis (MFA), or systems biology approaches.Knowledge of mammalian cell culture, cellular metabolism, and upstream bioprocess development.Experience supporting media optimization, process development, or biologics manufacturing is highly desirable.Knowledge, Skills, Abilities Strong programming skills in Python (preferred), R, MATLAB, or similar scientific programming languages.Experience with multi-omics integration, pathway enrichment analysis, metabolic network analysis, genome-scale metabolic modeling, kinetic modeling, or machine learning.Present data for review, group discussions, and team meetingsMulti-task effectively and prioritize multiple projects with guidance.Proven track record that could work efficiently both independently and as part of a team.Excellent verbal and written communication skills..Ability to work in a cross-functional and interdisciplinary team. Preferred Qualifications Experience with CHO, HEK or Yeast cell culture systems.Experience applying AI/ML, knowledge graphs, large language models (LLMs), retrieval-augmented generation (RAG), or predictive analytics to biological data. Compensation and Benefits The salary range estimated for this position based in New York is $87,200.00–$116,250.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Battelle delivers when others can’t. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients—whether they are a multi-national corporation, a small start-up or a government agency. We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply. Job Summary We are currently seeking a Biologist / Bioinformatics Scientist. This position is a full-time opportunity located in Fort Belvoir, VA. This role supports the Defense Threat Reduction Agency's (DTRA) Technical Reachback Division, which provides round-the-clock, dedicated, and independent CBRNE technical and analytical decision support. The selected candidate will bring subject matter expertise in bioinformatics, epidemiology, and/or microbiology to assist government agencies, Combatant Commands, and first responders with critical CBRNE planning, operations, and post-event analyses. The position requires shift work and offers the opportunity to contribute to high-impact national security missions through modeling, simulation, and scientific advisory support. Responsibilities As a Biologist / Bioinformatics Scientist, the selected individual will provide subject matter expertise and modeling support to the DTRA Technical Reachback biology team across a range of high-priority national security missions. Responsibilities may include: Providing CBRNE biological decision support and technical reachback capabilities to Combatant Commands (COCOMs), the Office of the Secretary of Defense (OSD), Joint Staff (JS), the Intelligence Community (IC), first responders, and federal, state, and local government organizations in accordance with DoD directivesDeveloping, integrating, testing, verifying, validating, and applying CBRNE software and scenario models based on experimental results and theoretical and computational methodsPresenting modeling results and decision support materials to internal and external customers through written reports and oral presentationsProviding subject matter expertise (SME) in bioinformatics, epidemiology, and/or microbiology to implement and sustain functional capabilities within DTRA ReachbackReviewing current research across diverse subject areas to assess relevance and applicability to ongoing projectsEvaluating new experimental data for quality and relevance; providing biomedical defense SME in hazard prediction modeling involving CBRNE phenomenaWorking closely with scientists and engineers to define modeling objectives and obtain, verify, and validate required model inputs and outputsAttending technical and programmatic meetings to coordinate responses from the scientific community and review assembled materials for accuracy, consistency, and completenessReviewing the technical work of other team members to ensure quality and rigorShift work is requiredKey Qualifications Master's or PhD degree in bioinformatics, epidemiology, and/or microbiology with 1–3 years of relevant experienceSubject matter expertise in at least one of the following: bioinformatics, epidemiology, or microbiology, with application to CBRNE or biomedical defense contextsStrong oral and written communication skills, including technical presentation capabilitiesProficiency in Microsoft Office and graphic visualization toolsCollaborative, team-oriented mindset with the ability to work across scientific and operational communitiesAbility to travel up to 10% domestically, with potential for international travelMust be a US citizen. Must possess or have the ability to obtain and maintain a DoD Top Secret/SCI security clearance.Preferred Qualifications Current DoD Top Secret/SCI clearanceExperience combating WMD threats through modeling, simulation, and/or testingWorking knowledge of ArcGIS tools in an operational environmentExperience with public health threats such as COVID-19, Ebola, pandemic influenza, emerging infectious agents, and biological warfare agentsPrior experience working with Department of Defense organizations on WMD-related issues, or with agencies such as HHS, CDC, or similar federal entitiesCoding experience with Python, R and C++.Compensation Data Battelle is committed to fair and equitable compensation practices. The salary range for this role is $90,000 – $120,000 per year, in addition to our comprehensive benefits package. A candidate's salary is determined by various factors, including but not limited to education, relevant work experience, skills, and certifications. Salary ranges may vary based on geographic location and market conditions. Benefits: Live an Extraordinary Life We care about your well-being, not just on the job. Battelle offers comprehensive and competitive benefits to help you live your best life. Balance life through a compressed work schedule: Most of our team follows a flexible, compressed work schedule that allows for every other Friday off—giving you a dedicated day to accomplish things in your personal life without using vacation time.Enjoy enhanced work flexibility, including a hybrid arrangement: You have options for where and when you work. Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday and Tuesday as common in-office days, dependent on team and position needs.Take time to recharge: You get paid time off to support work-life balance and keep motivated.Prioritize wellness: Stay healthy with medical, dental, and vision coverage with wellness incentives and benefits plus a variety of optional supplemental benefits.Better together: Coverage for partners, gender-affirming care and health support, and family formation support.Build your financial future: Build financial stability with an industry-leading 401(k) retirement savings plan. For most employees, we put in 5 percent whether you contribute or not, and match your contributions on top of that. Advance your education: Tuition assistance is available to pursue higher education.A Work Environment Where You Succeed For brilliant minds in science, technology, engineering and business operations, Battelle is the place to do the greatest good by solving humanity’s most pressing challenges and creating a safer, healthier and more secure world. You will have the opportunity to thrive in a culture that inspires you to: Apply your talent to challenging and meaningful projects Receive select funding to pursue ideas in scientific and technological discoveryPartner with world-class experts in a collaborative environmentNurture and develop the next generation of scientific leadersGive back to and improve our communitiesVaccinations & Safety Protocols Battelle may require employees, based on job duties, work location, and/or its clients’ requirements to follow certain safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment and to provide documentation that they are fully vaccinated. If applicable, Battelle will provide reasonable accommodations based on a qualified disability or medical condition through the Americans with Disabilities Act or the Rehabilitation Act or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws). Battelle is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle. The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department. For more information about our other openings, please visit www.battelle.org/careers

Bioinformatics Specialist - REQID0002620 Computational Biology | Job ID: REQID0002620 The Stowers Institute has an opening for a Bioinformatics Specialist to assist the Computational Biology core facility with biological data processing and analysis. The Bioinformatics Specialist will use computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput sequencing experiments. We are seeking an intellectually curious and motivated individual who will thrive in a collaborative, biology-driven team environment. One major aspect of this position will be on developing and maintaining analysis infrastructure (pipelines, tools, and genome annotation resources) that support the institute's diverse research programs. We are especially looking for someone excited to leverage generative AI to maintain and improve our processes. There will also be an opportunity to work directly with researchers on collaborative data analysis projects. This is primarily an on-site position, with some flexibility for occasionally working from home. We value in-person collaboration but also support work-life balance. Key Responsibilities: Develop and maintain robust, scalable pipelines for multiple sequencing platforms (Illumina, PacBio, Oxford Nanopore, etc.) Collaborate with IT and high-performance computing team to develop or optimize pipelines Explore and integrate the power of generative AI to improve our processes Use R and Python for high-throughput genomic data analysis and visualization Troubleshoot and manually process data for any custom protocols or pipeline failures. Communicate through meetings and email with internal groups and external companies to help troubleshoot data processing pipelines for new and developing protocols Follow group best practices to maintain reproducibility and organize results Minimum requirements: Master's degree in Bioinformatics, Computational Biology, or a related computationally oriented discipline Proficiency with one or more scripting languages (including Python) Experience working in a Unix/Linux environment Experience with sequencing data analysis (we use a wide variety of approaches but would like you to have at least some experience with short read sequencing and/or single cell protocols) Familiarity with standard sequencing data file formats Interest in exploring and using generative AI for code development and maintenance Basic understanding of and interest in Biology Preferred skills: Experience with R, Bioconductor, Shiny, and Nextflow Experience with cluster computing (Especially slurm) Experience writing computational pipelines The ideal candidate will have strong problem solving abilities, excellent communication and organization skills, good attention to detail, biological interest and curiosity, excitement about leveraging AI, and the ability to manage multiple projects effectively. Application Instructions: Submit the requested documents to careers@stowers.org or to Administration Department, Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110.

Description The Department of Psychiatry is seeking to hire a full-time Bioinformatics Programmer 2 to join the Neuromodulation Division. You will support innovative research initiatives at the intersection of neuroscience, data science, artificial intelligence, and computational research. You will collaborate with investigators and research teams to develop, analyze, and optimize computational tools, datasets, and research technologies. Key responsibilities include: Develop, test, and support computational and data science tools for research projectsAnalyze large datasets using statistical and data analytics techniquesClean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysisAssist with algorithm development, optimization, and software implementationSupport research involving artificial intelligence, machine learning, and high-performance computing technologiesCollaborate with investigators and multidisciplinary research teams on study design, data analysis, and technology solutionsEvaluate and troubleshoot research software, computational workflows, and data systemsContribute to the development and deployment of research applications and toolsSalary range: $39.48/hr - $82.27/hr

Job Title: Bioinformatics Pipeline Test Engineer Domanin (Healthcare Domain) Location San Diego CA - Local to CA or who can relocate Location 2+ Years of exp RateOpen Hire Type (FTE/Contract): 6 Months Must Have Bioinformatics OR Genomics NGS OR "Next Generation Sequencing" VCF OR BAM OR FASTQ Python Testing OR QA OR "Quality Engineer" OR Validation Git Job DescriptioRole Overview We are seeking a Bioinformatics Test Engineer to validate and ensure the quality of NGS data pipelines and bioinformatics workflows. The role requires a strong blend of bioinformatics knowledge, QA expertise, and automation skills. Key Responsibilities • Design and execute testing strategies for NGS pipelines (alignment, variant calling, annotation) • Perform data validation, regression testing, and discrepancy analysis • Develop automated test scripts (Python) • Translate requirements into test cases and validation criteria • Work with CI/CD pipelines and cloud-based workflows • Collaborate with cross-functional teams to ensure data accuracy and reliability Required Skills • Strong understanding of NGS workflows (FASTQ, BAM, VCF) • Experience in bioinformatics pipeline testing or QA • Proficiency in Python scripting • Hands-on with Git and CI/CD tools • Experience with cloud platforms (AWS/Google Cloud Platform/Azure) and data pipelines • Strong problem-solving and communication skills Preferred • Experience in biotech/life sciences domain • Familiarity with Nextflow, Snakemake, or similar workflows • Exposure to regulated environments (CLIA/FDA) What We’re Looking For • Strong testing mindset + hands-on engineering skills • Ability to debug pipelines and explain thought process clearly • Experience with real-world data workflows (not just academic projects) • Mentions NGS pipelines + testing together • Has Python + Git + CI/CD • Mentions variant calling / VCF validation • Worked on cloud or production pipelines Reject or deprioritize if: • Only academic bioinformatics (no testing/QA) • Only statistics validation (no system testing) • No Python or automation • No infra experience (cloud / CI/CD / DB) • Only local scripts, no real pipelines Other High Priority Keywords Variant Calling Pipeline Testing Regression Testing Test Strategy OR Test Case Design Data Validation Golden Dataset OR Reference Dataset CI/CD OR "GitHub Actions" OR GitLab OR "Azure DevOps" AWS OR S3 OR Cloud Nextflow OR Snakemake OR WDL OR Cromwell Automation Testing

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives. Labcorp is seeking a US based remote Lead Bioinformatics Scientist to join our team! Job Responsibilities The Sample‑to‑Answer Center of Excellence (CoE) within the LabCorp Information Technology department manages a wide range of diagnostic tests using advanced technologies such as next‑generation sequencing and microarrays. This position provides a unique opportunity to interact with CoE personnel and gain hands‑on experience solving real‑world problems in data science and bioinformatics. The role also contributes directly to LabCorp’s research and development efforts by addressing complex data science challenges and accelerating critical production development initiatives. Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data sciences and artificial intelligence to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models for single-gene non-invasive Fetal Screening (NIFS). Generate and test hypotheses and be involved from ideation through delivery. Key Responsibilities Collaborates with R&D scientists on the development of new assays, measurement technologies, and tests for evaluating clinical conditions.Perform sophisticated analysis of genomic, transcriptomic, or proteomic datasets using state-of-the-art bioinformatics tools and NGS pipelines.Performs statistical and bioinformatics analyses of experimental data produced by clinical testing instruments such as DNA sequencers and other molecular instruments.Conducts data mining over internally produced and publicly available data sets.Provides analysis information to management to aid in decision making on the development of new laboratory developed tests.Develop statistical classifiers and decision trees integrating spanning read support, flanking-read ratios, allele dropout indicators, and confidence intervals.Apply a wide range of bioinformatics algorithms and develop novel computational approaches.Investigate assay limitations at the molecular level and define boundaries of clinical reporting.Develop and optimize complex analysis pipelines based on deep knowledge of bioinformatics algorithms.Architect production-grade Nextflow pipelines for whole-genome sequencing, including caller selection, annotation strategy (AnnotSV, Nirvana), and QC threshold design.Lead bioinformatics proof-of-concept for sequencer transitions, including concordance analysis, metric comparison, GIAB benchmarking, and cost-benefit recommendations.Drive improvements in accuracy, cost of goods sold (COGS), and turnaround time across the pipeline portfolio.Establish quality control metrics and procedures to ensure data integrity across production pipelines.Guide result interpretation and reporting standards in collaboration with clinical and commercial stakeholders.Set QC thresholds for new sample metrics and make production-impacting recommendations. Minimum Qualifications Ph.D. in bioinformatics, computational biology, genetics, or computer science.3 or more years of experience in biotechnology5 or more years of experience in programming languages in bioinformatics, such as Python, R, Perl, or Java. Preferred Qualifications 5 or more years of experience with high-throughput sequencing data and bioinformatics tools like BLAST, GATK, or Bowtie.5 or more years of experience with Linux/Unix environments and high-performance computing (HPC) or cloud platforms. Additional Job Standards Ability to effectively provide guidance to junior team members, sharing your expertise and contributing to a collaborative learning environment.Ability to demonstrate success in technical proficiency, scientific creativity, collaboration with others and independent thought.Ability to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and knowledge of applications.Ability to demonstrate proficiency in data analysis and statistical learning.Ability to exercise independent judgment in developing methods, techniques and evaluation criteria for obtaining results. Application window open through: 08/27/2026 Pay Range: $120k - $150k (USD) All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers. Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. We are dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. Join us in our mission to improve health and improve lives. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.  Labcorp Is Proud To Be An Equal Opportunity Employer Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Job Description SummaryPosition Overview Manager, Bioinformatics is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The Manager, Bioinformatics is responsible for successfully leading the planning and execution of projects. This position involves independently making detailed observations, analyzing data that is extremely complex and technical, critically analyzing the data and providing supporting scientific rationale as needed, as well as providing insights into the future direction of the project for successful outcomes. The Manager, Bioinformatics helps develop the timeline and plan for new assignments/projects. As a technical expert with deep knowledge and thorough understanding of the science, the Manager, Bioinformatics provides technical guidance and mentorship to junior bioinformatics scientists. Working in a team setting, this role will be involved in Research and Development projects serving as a technical lead and subject matter expert in exploring, researching, and applying new technologies or providing and developing ideas and concepts that enable the discovery of new biological insights, and to improve or develop processes for product development towards development of diagnostic assay products. This position provides leadership to a team of Bioinformatics Associates and/or Scientists by working to define clear and realistic goals and developing a general management view of the project. Essential Duties Include, but are not limited to, the following:Conduct comprehensive analyses within several product or technology areas and identify problems and discrepancies.Independently develop, plan, and analyze results of experiments within several product or technology areas within defined timelines; effectively present and clearly communicate findings at data meetings, group meetings and project team meetings to inform and enable project progression.Critically analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project for successful outcomes.Contribute towards the development of timeline and plan for new assignments/study/projects.Provide technical guidance to junior scientists in project teams.Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment.Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate.Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures.Provide scientific rationale when analyzing and interpreting data and provide technical input and participate in decisions affecting project planning and experimental design.Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication.Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods.Generate, document, and communicate development plans for critical aspects of a project.Develop research plans and experimental outlines to write experimental protocols and perform laboratory experiments.Prepare detailed technical procedures, protocols, and reports.Evaluate impact of nonconforming data to product or process.Identify and address trends in study data.Prepare and approve written reports.Lead identification of areas for process improvements.Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements.Prepare reports and documentation providing highly technical analysis or summarization of results, outcomes, next steps, and the future direction of the project to functional leader, technical teams/groups, or project teams.Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; critically evaluate scientific data for its merits; lead meetings and help provide directions as a subject matter expert.Demonstrate success in technical proficiency/knowledge, scientific creativity and rigor, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas.Work on problems of extremely complex scope in which analysis of data requires an evaluation of intangible variables.Exercise independent judgment in developing methods, techniques, and evaluation criteria for obtaining solutions.Work on assignments individually and with project team members to meet department and project objectives.Work within project timeframes with successful outcomes on multiple projects and key responsibilities.Act as bioinformatics leader for one or more projects that are complex in scope.Act as subject matter expert in core team and/or cross-functional meetings.Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner.Promote an open, collaborative environment built on trust to foster positive teamwork.Plan, recommend, and lead activities that account for prioritization of organizational and department goals.Supervise staff; including, but not limited to, organize and prioritize work, write/conduct performance reviews, train/develop, and manage work performance.Communicate goals clearly to employees to ensure understanding and success in achieving them.Motivate and inspire employees to do their best work through coaching.Maintain morale and support employee engagement initiatives.Organize, present, and convey complex problems or issues.Communicate clearly and frequently with all levels of the organization; including team members, project team members (core and extended), functional managers, clinical lab, and other stakeholders.Create high quality presentations that effectively communicate and tie into a cohesive story the project status and/or experimental results.Apply strength in performing complex analyses and the ability to present data and recommendations to a variety of audiences throughout an organization.Apply qualitative and analytical skills with strong attention to detail.Ability to effectively work on several varied projects at one time, with frequent changing priorities.Demonstrate excellent analytical, problem solving and decision-making skills.Apply sound technical knowledge and ability gained through experience and/or learning.Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action).Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.Support and comply with the company’s Quality Management System policies and procedures.Maintain regular and reliable attendance.Ability to act with an inclusion mindset and model these behaviors for the organization.Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.Ability to work on a computer and phone simultaneously.Ability to travel 10% of working time away from work location, may include overnight/weekend travel. Minimum QualificationsPhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD.8+ years of industry or academia experience in bioinformatics.6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.3+ years of direct or indirect leadership or management experience.Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.Demonstrated expertise in product/assay research, design, or developmentBasic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint.Authorization to work in the United States without sponsorship.Demonstrated ability to perform the Essential Duties of the position with or without accommodation. Preferred Qualifications10+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.Previous experience as a project lead for a team of scientists.2+ years of direct people leadership and management experience.Experience in a pharmaceutical or biotech manufacturing environment, preferably in a GMP and/or ISO environment.Previous industry experience in product development or technical support.Experience with genomic databases and software.Background containing a substantial amount of bioinformatics work including troubleshooting.Previous experience working in a molecular diagnostics/clinical laboratory setting. The base pay for this position is $99,300.00 – $198,700.00. In specific locations, the pay range may vary from the range posted.

St. Jude is seeking a Senior Bioinformatics Research Scientist for data science projects within the Center for Pharmacogenomics in the Department of Pharmacy and Pharmaceutical Sciences. In particular, this individual will focus on electronic health record (EHR)-driven phenotyping to support pharmacogenomics discovery research. The successful candidate will be responsible for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves working with large external biobank datasets such as All of US, eMERGE, TopMed, UK BioBank, as well internal EHR data. This Bioinformatics Research Scientist will collaborate extensively with disease and/or drug experts (clinicians, clinician scientists, data scientists, and laboratory investigators) to co-develop phenotyping algorithms but is expected to serve as the domain expert in high-throughput phenotyping. Demonstrated expertise in EHR-based phenotype extraction and curation are strongly preferred. Responsibilities o Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. o Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. o Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. o Assist in the evaluation and testing of new methods and technologies. o Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. o Participate in the department's developmental projects and interdepartmental team projects. Qualifications o Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work experience in relevant area (e.g., bioinformatics, cheminformatics, statistics/computer science with a background in biological sciences or chemistry) (OR) Master's degree with 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience. o Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. As one of the premier pediatric research institutions in the world, St. Jude Children's Research Hospital provides exceptional resources and a supportive environment for career development. In this position, the candidate will interact with leaders in pharmacogenomics and data science in general within and outside the institution and at national/international meetings. Innovation and independence are encouraged with the goal of providing flexibility and freedom in exploring new directions. Job Responsibilities: Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data.Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion.Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions.Assist in the evaluation and testing of new methods and technologies.Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so.Participate in the department's developmental projects and interdepartmental team projects.Perform other duties as assigned to meet the goals and objectives of the department and institution.Maintains regular and predictable attendance.Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data.Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion.Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions.Assist in the evaluation and testing of new methods and technologies.Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so.Participate in the department's developmental projects and interdepartmental team projects. Minimum Education and/or Training: Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field.Master's degree or PhD preferred. Minimum Experience: Minimum Requirement: Bachelor's degree with 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. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist. Explore our exceptional benefits ! 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.