Bioinformatics Jobs

Job Advert: Lead Bioinformatics Scientist Job Title: Lead Bioinformatics Scientist Job Type: Permanent Salary: $180,000–$200,000 USD per year + bonus Role Location: Chicago, IL (hybrid role) Visa Requirements: No sponsorship provided. The Company: Our client is an emerging leader within biotechnology, headquartered in the vibrant tech hub of Chicago, Illinois. Their mission is to empower scientists worldwide by accelerating biotech research through innovative DNA sequencing and analysis tools. Every day, thousands of innovators—including Nobel Prize winners, biotech startups, and research labs—rely on their solutions to drive world-changing discoveries in healthcare, sustainability, and beyond. In 2024, they saved researchers 2 million hours, transforming their productivity. Join their dynamic, collaborative team to shape the future of science. Role and Responsibilities: As the Lead Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: • Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. • Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. • Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. • Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. • Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. • Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: • Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 8+ years of experience developing production-level bioinformatics pipelines. • Required Qualifications: • Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. • Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. • Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. • Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). • Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. • Expertise in Git/GitHub and Linux shell scripting for version control and automation. • Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). • Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. • Strong communication skills and ability to write clean, maintainable, production-ready code. • Preferred Qualifications: • Experience with compiled languages (C++, Rust) for performant software development. • 1+ year of molecular biology wet lab experience. • Demonstrated ability to develop novel bioinformatics algorithms. • Strong interest in creating intuitive data visualizations for scientific insights. • Benefits: • Competitive Compensation: Highly competitive remuneration. • Generous Time Off: 4 weeks paid time off + 10 paid holidays. • Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. • Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. • Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. • Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. • Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Job Description: We are seeking a highly motivated and collaborative Bioinformatics Scientist to support oncology drug discovery programs through advanced computational analysis and biological interpretation of large-scale omics datasets. The successful candidate will partner closely with discovery teams to derive biological insights from NGS and multi-omics data, contribute to experimental design, and enable data-driven decision-making across early- and late-stage programs. Responsibilities: • Support oncology research by analysing high-throughput omics data, including RNAseq, WES, and other NGS platforms. • Query public and internal cancer genomics resources to assess mutation/expression distributions and clinical relevance. • Integrate and interpret internal datasets (e.g., transcriptomics, proteomics, single-cell, spatial omics) to uncover mechanisms of disease and therapeutic response. • Communicate analytical findings and recommendations effectively to cross-functional teams with diverse scientific backgrounds. • Collaborate with experimental and discovery scientists to optimize study designs and identify computational opportunities. • Develop and maintain reproducible bioinformatics workflows and pipelines. • Leverage cloud (AWS) and/or HPC infrastructure for scalable data analysis. • Stay current with emerging technologies and data repositories to enhance data interpretation. Requirements: • Ph.D. in Bioinformatics, Computational Biology, Genomics, Cancer Biology, or related field; OR. • Master's degree with 1–3 years of relevant industry experience; OR. • Bachelor's degree with 6–8 years of relevant experience. • Demonstrated oncology background, preferably with exposure to immuno-oncology, immunology, or cancer genomics. • Hands-on experience with NGS data analysis (e.g., RNAseq, WES), from raw data processing to downstream interpretation. • Proficiency in R (including ggplot2); competence in Python is preferred. • Experience working in Linux environments and using HPC clusters or cloud platforms (AWS). • Strong data visualization and presentation skills. • Excellent written and verbal communication skills. • Strong team orientation and ability to work in cross-functional settings. • Experience with single-cell RNA-seq, spatial omics, CRISPR screens, or proteomics data. • Familiarity with public data repositories such as TCGA, GTEx, GEO, ENA/EBI, and GDC. • Prior industry experience in pharmaceutical or biotech settings. • Experience supporting drug discovery programs from early to late stages.

Bioinformatics Analyst III $57+/hr based on location and benefits options 9 month initial contract Fully remote Responsibilities include: • support of computational research priorities associated with oncology drug discovery programs. • This variably entails querying large-scale cancer genomics resources for mutation/expression distributions, assessing internally generated omics datasets to derive biological insights, and investigating mechanisms that may affect clinical outcomes. • Responsibilities also include informing discovery peers on computational opportunities for ongoing programs, providing feedback on experimental design, and communicating results to diverse scientific backgrounds. Other notable details about the environment from the hiring manager about this role. • Support of programs in early to late-stage discovery drug pipeline. What positions/background experience do you feel are successful in this role? • Prior research work in oncology bioinformatics analysis, either in academia or industry What will the interview process be? • Phone screen with hiring managers • Panel interview with research team Qualifications: • A Ph.D. OR a Master’s degree with 1-3 years of industry work experience OR a bachelor’s degree with 6-8 years of experience in bioinformatics, computational biology, genomics, computer science, cancer biology, or immunology is required. • Oncology experience is required, preferably with knowledge of immuno-oncology, immunology, and/or cancer genomics. • Experience with next-generation sequence (NGS) analysis (RNAseq, WES, etc) and a strong understanding of principles behind raw data processing for common NGS data types are required. • R fluency is required, Python competence is preferred. • Experience with Linux, on-premise HPC, or AWS is required. • Strong data visualization skills (ggplot2, plotly, etc) is required. • Exceptional communication and collaboration skills are required. • Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc is preferred. • Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx) preferred. • Prior experience in the pharmaceutical industry or a related field is preferred. Our role in supporting diversity and inclusion As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.

About the Department ​ The Duchossois Family Institute (DFI) focuses on the role of commensal bacteria in enhancing disease resistance and is using genomic and metabolomic platforms to characterize the microbiome and its metabolites. Computational and bioinformatic expertise is required to understand how commensal bacteria impact human health. Bioinformaticians in the DFI perform genomic analyses including genome assembly and annotation and working with computational software programs to analyze microbial genome sequences and characterizing their metabolite utilization and secretion. Job Information​ Job Summary: The job provides basic technical support related to scientific research projects. The position analyzes data and writes weekly reports. Responsibilities: • Contribute to the development of scalable computational infrastructure and data platforms to support the DFI scientific research projects. • Develop bioinformatics pipelines using Nextflow as a proof-of-concept for automation, reproducibility, and provenance. • Contribute to the development of an integrated knowledgebase (Relational Database) integrating different omic data types and clinical data. • Develop Python and Javascript libraries for the visualization of microbiome/metagenome, metabolome and other omic datatypes generated at the DFI. • Develop Python/Flask based Webapp backend to build and support web application exploring DFI data. Competencies: • Cloud Engineering, Bioinformatics tools, Software Engineering tools. • Analytical skills. • Good communication skills (written and verbal). • Works effectively as part of a team. Additional Requirements​​ Education, Experience, or Certifications: Education: • High School Diploma/GED required. • College student in Applied Mathematics, AI, Machine Learning or Software Engineering, preferred. Experience: • 1-2 years of experience in the related field required. Working Conditions and Physical Requirements: • Office environment. Required Documents: • Resume (required) • Cover Letter (preferred) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Benefit Eligibility​ No Requires Compliance with University Covid-19 Vaccination Requirement No Pay Frequency​ Hourly Pay Range Depends on Qualifications Scheduled Weekly Hours​ 40 Union​ Non-Union Job is Exempt No Drug Test Required No Motor Vehicle Record Inquiry Required No Health Screen Required No Remove from Posting On or Before​ 2023-10-21 Posting Statement:​​ Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward. The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are looking for a highly motivated and capable senior bioinformatics software engineer with extensive experience and interest in developing cutting edge assays and algorithms in the liquid biopsy space (including molecular residual disease testing, therapeutic response monitoring, therapy selection, complete genomic profiling, and diagnostics). Responsibilities: • Build and design production-scale bioinformatics pipelines using contemporary tools for processing and analyzing NGS data within cloud-based computing environment • Develop novel assays, algorithms, machine learning and statistical models to detect oncology related biomarkers from cell free next-generation sequencing (NGS) data • Conduct analyses applying deep genomic and epigenomic knowledge to derive key insights from large multi-modal datasets • Execute experiments to characterize performance and support various regulatory submissions. • Produce high quality and detailed documentation for all projects. • Communicate results with other scientific teams as well as product and bioinformatics leadership. • Collaborate with other scientists and engineers Qualifications: • Must have completed a Ph.D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science • Computational skills using Python and/or R • Experience with cloud-based systems such as AWS or Google Cloud Platform • Experience with container solutions such as Docker • Experience with common workflow languages such as Nextflow, snakemake, etc. • Experience interfacing with both scientific and engineering teams • Experience with software testing • Demonstrated effective communication and presentation skills • Self-driven and works well in interdisciplinary teams Illinois Pay Range: $85,000 - $130,000 California Pay Range: $100,000 - $145,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About Us Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives. Why Work Here? We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role: Ethos is looking for a bioinformatics scientist to join our actuarial and underwriting innovation team. In this role, you will help redefine how life insurers assess mortality risk by applying bioinformatics, survival analysis, and machine learning to novel health and behavioral data. You’ll lead research and model development efforts that go beyond traditional actuarial inputs — integrating signals from clinical biomarkers, medical history, and emerging data sources to create next-generation predictive frameworks. This is a unique opportunity to bring your background in bioinformatics, computational health, or applied statistics into a space that’s ripe for reinvention. You’ll collaborate closely with actuaries, underwriters, data scientists, and engineers to design interpretable, production-ready models that improve both underwriting fairness and accuracy. Ultimately, helping us expand affordable life insurance access to more people. If you're excited about applying scientific rigor to complex real-world risk problems, and want to help modernize an industry from the inside out, we’d love to hear from you. Duties and Responsibilities: • Design and execute studies using novel data to improve mortality risk prediction. • Develop and validate ML and statistical models for mortality scoring. • Partner with Data Science and Engineering to bring models into production. • Collaborate with Actuarial and Underwriting teams to align on validation and impact. • Contribute to the methodology and roadmap of a modern, scalable mortality modeling system. Qualifications and Skills: • You have experience working with medical ontologies, terminologies, or clinical data models that support robust analytical workflows. (e.g., ICD, SNOMED, LOINC, OMOP CDM, etc.) • You’ve applied bioinformatics or statistical modeling techniques to real-world health, biometric, or survival datasets and know how to balance rigor with practicality. • You’re fluent in tools like Python or R, and have experience with machine learning libraries or survival analysis frameworks. • You thrive in cross-functional settings, working alongside actuaries, underwriters, engineers, and product teams and can communicate technical findings clearly to diverse audiences. • You're excited to bring a scientific mindset to an industry ripe for reinvention and are ready to challenge assumptions while building credible, production-ready tools. • MS or PhD in Bioinformatics, Statistics, Biostatistics, Applied Mathematics, Data Science, or similar. • 4+ years of experience in applied statistical modeling or machine learning. • Strong proficiency in Python or R and relevant libraries. • Experience in survival modeling, biomarker analysis, or health risk scoring preferred. • Excellent communication skills and ability to write clearly for technical audiences. The US national base salary range for this full-time position is $133,000 - $236,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include applicable bonus, equity, or benefits. You can find further details of our US benefits at https://www.ethoslife.com/careers/ #LI-Remote Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Imagine being involved with innovation that changes the course of our industry daily! Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. 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. We have an excellent career opportunity for a Senior Clinical Bioinformatics Scientist to join our growing team! This team’s work directly impacts patient results, making problem-solving both motivating and rewarding and making quality and data integrity the most important aspects of the role. This is a US remote based position. This position does not offer employment visa sponsorship. Position Summary The Senior Clinical Bioinformatics Scientist is an individual contributor role with primary responsibility to lead the optimization of bioinformatics pipelines and clinical informatics operational processes to ensure exceptional clinical quality at scale. This job is a hybrid role between operations and development: • The developer will be guided by the team’s operational needs and will implement lasting solutions to the bottlenecks and challenges the team faces. They will have a deep understanding and hands-on experience of clinical genetic data—including challenging regions with high homology, pseudogenes, and/or short tandem repeats—as well as extensive experience in pipeline and algorithm development and bioinformatics analyses. • When not improving bioinformatic workflows via programming, policy, and instrumentation, they will manually review and analyze live patient data corresponding to Next Generation Sequencing (NGS) or Whole Genome Sequencing (WGS) data and their confirmatory assays. Moreover, they will support future company-wide program development, making sure that the operational requirements are included. You will be joining a team whose responsibilities include the evaluation of truth for clinically reportable variants, including deep, and sometimes manual, investigation into unique genetic or genomic signals identified in production data. Team responsibilities also include monitoring data quality metrics and troubleshooting the root cause of quality control failures related to the mainline NGS, WGS, and confirmatory assays. In addition, the team is heavily involved in program development, tech transfer, technical improvements to production bioinformatic workflows, and creating new tools to increase production efficiency to reduce intervention rates and turnaround time (TAT). Qualifications: • Strong knowledge of genetics • Experience with NGS data analysis • Experience with challenging genes, e.g., short tandem repeat (STR) regions or genes with high homology or pseudogenes • Proficiency with IGV or other genome browsers • Knowledge of common NGS alignment, variant calling, and visualization tools • High proficiency in Python, SQL, and Jupyter • Experience with Docker and Nextflow • Excellent written and verbal communication skills • Familiarity with any of the following: • Laboratory Information Management Systems (LIMS) • Experience with NGS wet lab protocols, preferably in a production setting • git, or other version control systems • Project management software such as Jira, Asana, Monday. Preferred Qualifications: • Exceptional curiosity and eagerness to learn and explore new ideas and solutions. • Thorough understanding and attention to detail in all aspects of work and projects. • Comprehensive approach to problem-solving, ensuring all relevant factors and impacts are considered. • Meticulous in execution, with a strong focus on accuracy and quality in deliverables. • Substantial understanding of regulatory requirements in bioinformatics • Track record of identifying principled, robust, high-quality solutions to open-ended problems • Experience leading technical teams across scientific and engineering domains • Expert in design standards Education/Experience • Master's degree with 6 years of experience in Bioinformatics or related discipline, OR PhD with 3 years experience, OR Bachelor's degree with 9 years of experience Application window open through: 08/12/2025 Pay Range: $125,000 - $160,000 annually (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 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. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Why People choose to work at Labcorp: At Labcorp, it is our people that make us great – it is what our clients, our partners and, most importantly, what our employees say. Here, you will have the opportunity to collaborate with extraordinary people with diverse viewpoints. You will discover your own outstanding potential as we build an even stronger organization with industry leaders from early development to the clinic and beyond. We help our clients develop medicines that improve health and improve lives of their family and friends. 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.

The Computational Biology and Bioinformatics Group of Oak Ridge National Laboratory is seeking a bioinformaticist to provide analytical capabilities and training to a range of projects primarily involving systems biology research in microbes, plants and microbial communities and will be responsible for analyzing genomics, transcriptomics and other high-throughput data. This position involves working in close collaboration with laboratory researchers generating the data, and is expected to be able to develop software and solutions appropriate for the analysis of the project data, and to teach and provide advice for managing and analyzing data. This position offers access to the outstanding facilities for computing and biology at the ORNL, with close collaborations between biologists and computational scientists. Qualified candidates are invited to submit a letter of interest, current curriculum vitae, a statement of research interests, and the names of at least three references. For further information about the position contact Bob Cottingham at cottinghamrw@ornl.gov or 865-241-0554.

Join the HJF Team! HJF is seeking a Bioinformatics Analyst III (Computational Biology) who designs and executes computational genomics and statistical analysis (mutation discovery and trait association) in large DNA Whole Genome Sequencing (WGS) cohorts and genome wide RNA expression analysis. Provides analytic support and collaborative assistance to investigators and personnel. This position will be in support of Walter Reed Army Institute of Research (WRAIR), Medical Readiness Systems Biology Branch (MRSB). MRSB, aligned under the Center for Military Psychiatry and Neuroscience (CMPN), consists of a team of laboratory molecular biology research scientists and technicians alongside computational biologists and bioinformaticians focused on identifying biomarkers of disease using a systems biology and multi-omics approach. Laboratory scientists and support staff complete a wide range of laboratory assays necessary for generating multi-omics datasets as well as research dissemination efforts including compiling, summarizing, and presenting information to inform novel research efforts and disseminate findings. Computational scientists perform advanced data analyses and manage big data to identify biomarkers and develop products for a variety of stakeholders across the military health system, in addition to, conducting literature reviews, writing manuscripts, and developing new research protocols, and funding proposals. Products developed, analyzed, and presented by the MRSB are regularly used by enterprise leadership to inform doctrine, practices, and policies. The research mission of MRSB aims to apply robust and precise molecular-based solutions for military-relevant health performance, resilience, and readiness. MRSB is a disease agnostic program that utilizes high-throughput, multi-omics platforms supported by a suite of cutting edge, targeted assay tools and AI-driven analytical capabilities to identify diagnostic and prognostic biomarkers and generate a knowledge base about biological mechanisms and personalized care. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. This position is contingent upon contract award.

The Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Epigenetics Group, a part of the Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital, is seeking a highly motivated and creative Bioinformatics Research Scientist or Sr. Bioinformatics Research Scientist. This position involves developing and applying innovative analytical approaches to uncover the mechanisms driving pediatric cancers and other human diseases. By contributing to a wide range of projects and assisting researchers across St. Jude, you will make a meaningful impact on science and, ultimately, on the care and survival of pediatric cancer patients. In addition to performing diverse analytical tasks, we encourage team members to engage in pipeline development, explore novel trends in the field, stay updated on the latest methods, and even create new methodologies—provided these efforts align with our ultimate goal: “Finding cures. Saving children”. Our work often leads to high-profile publications, offering significant opportunities for career growth and scientific contributions. What We Offer: CAB provides a highly interactive and collaborative environment with opportunities to work alongside experts in transcriptomics, genomics, and genetics, as well as across basic and clinical research departments. Resources include but are not limited to: Access to St. Jude's high-performance computing clusters and cloud computing environments.Cutting-edge sequencing platforms, such as long-read sequencing technologies, single-cell DNA/RNA sequencing, and spatial transcriptomics. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in delivering high-quality results for competitive projects. Opportunities to participate in and present at scientific conferences, enhancing your expertise and expanding your network. CAB members have opportunities to contribute to high-impact research, co-author prominent publications, and file patents for novel biomarker discoveries or innovative methods in clinical diagnosis and treatment. 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. 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 Bioinformatics Research Scientist- Epigenetics Group. 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.