Bioinformatics Jobs

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The Bioinformatics Scientist, with limited guidance from more experienced scientists, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist plays an active role in planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data and interpreting results. Working in a team setting, the Bioinformatics Scientist, will primarily be involved in Research and Development projects serving as a technical lead in translating research ideas and concepts into the product development pipeline towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: Conduct analyses within several product or technology areas and identify problems and discrepancies. Independently plan and analyze results of bench level experiments within several product or technology areas. Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. 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 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. Generate, document, and communicate development plans for critical aspects of a project. Participate in the development of research plans and experimental outlines. 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 the analysis or summarization of results, outcomes and next steps to supervisor, 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; provide technical input as needed. Demonstrate technical proficiency and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. Work on problems of diverse and complex scope in which analysis of data requires evaluation of identifiable factors. Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. Work on individual assignments and with project team members as appropriate to meet department and project objectives. Work within project timeframes that are established collaboratively by team members. Act as technical leader for one or more projects that are moderate to complex in scope. 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. Assist in planning and recommendation of activities that account for prioritization of organizational and department goals. Ability to train and mentor bioinformatics associates. Ability to organize, present, and convey moderate problems or issues. Ability to communicate clearly with supervisor and group members. Demonstrate excellent presentation. Ability to collaborate, work effectively and contribute within team, department, and cross functional teams. Demonstrate strong attention to detail skills. 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 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications PhD 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. 1+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. Extensive experience in Linux-based HPC or cloud computing environments and associated tools. Ability to write custom code in at least three programming or scripting languages. Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R. Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. Preferred Qualifications 2+ years of industry or academic experience, post doc. Experience in an FDA-regulated environment, ideally in medical device development. Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment. #LI-BH1 Salary Range: $84,000 - $138,000 (National salary range) $97,000 - $159,000 (California salary range) The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law. 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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. Labcorp is seeking a US based remote Bioinformatics Scientist I to join our team! Job Responsibilities: We are seeking an initiative-taking and skilled Bioinformatician. This position offers an excellent opportunity for a recent graduate with a Master’s or PhD to apply for advanced training in bioinformatics, computational biology, and data analysis in a collaborative research environment. As a Bioinformatics Scientist, you will collaborate closely with our research scientists and data analysts, contributing to high-impact projects that involve complex data interpretation and algorithm development. Key Responsibilities Advanced Data Analysis: Perform sophisticated analysis of genomic datasets using state-of-the-art bioinformatics tools and pipelines. Algorithm Development and Optimization: Develop, refine, and implement algorithms for data processing, including sequence alignment, variant calling, gene expression analysis, and network biology. Software Development: Contribute to the development and enhancement of bioinformatics software tools and pipelines, ensuring they meet the research needs of the team. Collaborative Research: Work collaboratively with cross-functional teams, providing bioinformatics expertise to support ongoing research projects and studies. Data Interpretation and Reporting: Analyze and interpret complex biological data, preparing detailed reports and presentations to communicate findings to both technical and non-technical stakeholders. Literature Review and Research: Stay abreast of the latest bioinformatics methodologies and advancements, integrating new approaches into ongoing projects. Minimum Qualifications Master’s degree in bioinformatics, computational biology, genetics, or computer science. 2 or more years of experience in programming languages Python, R, Perl, or Java. 2 or more years of experience in bioinformatics, or computational biology. Preferred Qualifications Ph.D. in bioinformatics, computational biology, genetics, or computer science. 2 or more years of experience with machine learning or AI applications in biology. 2 or more years of experience with high-throughput sequencing data and bioinformatics tools like BLAST, GATK, or Bowtie. Additional Job Standards Demonstrated ability to analyze large, complex datasets and derive meaningful insights. Ability to effectively communicate written and verbally and collaborate in a multidisciplinary team environment. Ability to convey complex technical information to both scientific and non-scientific audiences. Ability to demonstrate meticulous attention to detail with strong organizational and documentation skills. Application window open through: 06/09/2026 Pay Range: $90k - $105k (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. 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.

A leading genomics startup is seeking an AWS Bioinformatics Engineer to manage bioinformatics workflows for WGS and WTS analysis. This mid-senior level role requires 2-5 years of experience in a clinical or high-producing environment. The successful candidate will optimize pipeline performance, document workflows, and collaborate across teams. Proficiency in Python, AWS, and Nextflow is essential, alongside an understanding of bioinformatics tools. Join a supportive remote team dedicated to improving IVF success rates.

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. 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: 06/09/2026 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. 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.

About Oxia Oxia Therapeutics is pioneering a new class of medicine that reawakens the body's innate repair systems to restore health at the cellular level. We are a team of scientists and innovators dedicated to translating bold science into commercial products with significant beneficial societal impact. Our CEO is an experienced former Pfizer executive who built the business unit he was responsible for into a $2.5B portfolio. Our CFO has 40 years of experience in the life sciences industry.Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. About the role Oxia is hiring a Senior Scientist in Translational Biology to lead hands-on experimental work in our cellular repair platform and to provide first-pass analysis of the data we generate. This is a hybrid bench-and-computational role designed for a scientist who can run their own experiments, analyze their own data, and engage iteratively with a part-time bioinformatics consultant for deeper analytical work. This is the right role for Oxia's current stage. We are building toward an internal bioinformatics function but are not yet at the data volume that justifies a dedicated full-time computational hire. The Senior Scientist, Translational Biology will be primarily a bench scientist whose computational fluency lets us move quickly from data generation to biological interpretation without waiting on outsourced analyses for routine work. This is a hands-on, high-impact role for someone excited to operate in a small-company environment where scientific judgment, execution speed, and cross-functional communication matter. Key responsibilities: Hands-on experimental work — primary responsibility • Design, execute, and interpret in-vitro and in-vivo experiments to advance Oxia's mechanism-of-action, translational, and biomarker programs. • Lead omics study design and execution — sample planning, study logistics, partnering with CROs and academic collaborators on data generation. • Run hands-on cell-based and molecular biology assays including mammalian cell culture, RNA-seq sample preparation, qPCR validation, Western blotting, and ELISA-based biomarker assays. • Generate publication-quality data with rigorous experimental design, appropriate controls, and reproducible methods. • Author SOPs and methods for experimental protocols you develop or validate. First-pass data analysis and interpretation • Perform first-pass analysis of omics datasets from your own experiments and Oxia's broader program — including RNA-seq QC, differential expression, and pathway analysis. • Use Python or R workflows for routine analyses. Maintain reproducible analytical practices (version control, environment management, documented workflows). • Engage with the bioinformatics consultant on deeper analytical questions — multi-omic integration, custom integrative analyses, mechanistic modeling. • Translate analysis output into biological interpretation, experimental hypotheses, and program decisions. • Maintain a clean, organized analytical environment that a future full-time bioinformatician can extend without rebuilding. Translational and biomarker strategy • Partner with scientific leadership to develop pharmacodynamic and disease biomarkers connected to drug target engagement, tissue repair, and downstream phenotypes. • Generate experimental and analytical recommendations that link mechanism studies to indication selection and clinical biomarker hypotheses. • Contribute to manuscript writing, scientific presentations, and regulatory-supporting scientific narratives. Cross-functional partnership • Work closely with internal scientists, CRO partners, and external academic collaborators to oversee study design, data generation, quality review, and interpretation. • Serve as the scientific point of contact for the bioinformatics consultant relationship — translating program needs into analytical scopes of work. • Contribute scientific judgment to program decisions on lead nomination, indication focus, and IND-supporting study planning. Required qualifications • Education. PhD in molecular biology, cellular biology, biochemistry, pharmacology, translational research, or a closely related life-science discipline. • Industry biotech experience. Years of post-PhD experience in biotech, pharma, or a strongly translational academic setting. Candidates with only academic experience should have publication track records and translational orientation evident from their research. • Hands-on bench expertise. Demonstrated experience designing and executing experiments in cell-based and molecular biology systems. Specifically: mammalian cell culture under sterile conditions, RNA/DNA extraction, qRT-PCR, Western blotting, and ELISA. • RNA-seq and ATAC-seq experience — both ends. Has personally led RNA-seq experiments from sample preparation through downstream analysis. Can design an RNA-seq study (powering, batch design, controls), prepare quality libraries, and analyze the resulting data. • Intermediate-to-strong computational fluency. Comfortable with Python or R for biological data analysis. Specifically: can perform differential expression analysis (DESeq2, edgeR, or limma), pathway analysis (GSEA, MSigDB, or similar), basic data visualization (ggplot2, matplotlib, seaborn), and routine QC of sequencing data. Familiarity with version control (git/GitHub) and reproducibility practices is expected for a senior hire. • Translational orientation. Can connect mechanism studies, omics data, and biology to therapeutic hypotheses and program decisions. Has experience with biomarker development, indication selection logic, or translational study design. • Communication. Strong written and verbal communication, including the ability to distill complex experimental and analytical work into clear slides, memos, and publication-quality narratives. Preferred qualifications • Prior experience in tissue repair, stress response biology, ischemia-reperfusion injury, or cardiac/neuronal repair. • Experience with multi-omic data types (ATAC-seq, proteomics, single-cell RNA-seq) beyond bulk RNA-seq. • Experience with pharmacodynamic biomarker development for small-molecule drug programs. • Prior experience working with bioinformatics consultants or contractors and managing the relationship for sustained analytical productivity. • Publications in tissue repair, transcription biology, or translational pharmacology. • Experience contributing to IND-supporting scientific packages. Additional skills considered a plus • Experience in one or more of the following: virtual screening, structure-based and ligand-based approaches for small-molecule design, physicochemical property and ADMET optimization using ML models. • Knowledge of the drug-discovery process and screening data analysis. • Experience using AI/ML methods for protein structure prediction and design. • Strong knowledge of chemical and protein structure.

What You Will Do The Biochemistry and Biotechnology Group (B-TEK) in the Bioscience Division is seeking a motivated, enthusiastic post-master's candidate interested in performing research within the facets of mass spectrometry - especially proteomics, metabolomics, and lipidomics. The successful candidate will work with a team of scientists, technicians, and students on multiple projects ranging from characterizing chemical exposure, understanding biological effects of chemical/non-chemical stressors, and developing biosample analysis including method development, data acquisition, and data processing. The student will be expected to contribute to different projects as need arises. The ideal student must be meticulous in their work, self-starting, independent, and able to communicate in a professional manner. The term of the appointment is 2 years with opportunities to extend the appointment by transitioning to other types of LANL positions or continuing education. The student will also act as a member of the Biochemistry and Biotechnology Group (B-TEK) and as a member of the mass spectrometry team. Responsibilities include conducting research and reporting results back to the team at weekly meetings. Furthermore, on the job training and opportunities will arise to craft peer-reviewed publications and grant proposals. In addition, the student is encouraged to attend seminars and other LANL functions to expand their knowledge base and broaden interests. The student will also have the opportunity to participate in networking and social events. Interested individuals must first ensure they meet LANL's Student Program's eligibility requirements (noted below). You may also obtain more information about pay structure, expectations, and other internship opportunities by visiting the LANL website: http://www.lanl.gov/careers/career-options/student-internships/index.php What You Need Minimum Job Requirements: General background in biology, chemistry, or analytical sciences Demonstrated experience using bioinformatics tools and developing computational workflows Familiarity with good laboratory practices and experiment design Ability to maintain and record work performed, data obtained, as well as write and follow detailed protocols Ability to understand and present research results clearly and succinctly in both written and oral formats Ability to comfortably work independently and as part of a team Ability to work a minimum of 40 hours per week on a consistent schedule Ability to manage time and see tasks to completion Training/Certifications: None Education/Experience: Must have earned a Master's degree from an accredited institution (or international equivalent) within the last 3 years in an appropriate field, Must have graduated with a cumulative GPA of 3.2 on a 4.0 scale (or equivalent). Desired Qualifications: Demonstrated expertise in analytical science Broad fundamental knowledge of mass spectrometry and liquid chromatography Expertise in analysis of biomolecules, including proteins, lipids, and metabolites Demonstrated experience in software development and developing computational tools to solve challenging scientific problems at the intersections of biology and chemistry Expertise in machine learning and software development Must have excellent oral and written communication skills. Desire to report work in peer-reviewed publications and assist in the grant proposal process. Experience with the operation, maintenance, and troubleshooting of various mass spectrometers including Thermo Fisher Orbitrap platforms. Proficient in at least one programming language (e.g., Python or R), and knowledge of mass spectrometry data packages. Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Note to Applicants: Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. Required Application Materials: Current resume Current official transcripts Personal statement of interest (not to exceed one page) Where You Will Work Teams within the Bioscience Division at Los Alamos National Laboratory (LANL) perform research in a broad array of applications of biotechnology and life sciences, working to solve national bioenergy and biosecurity challenges-from naturally occurring or manmade threats-requiring an in-depth understanding of pathogens, plants, and human disease. Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: § PPO or High Deductible medical insurance with the same large nationwide network § Dental and vision insurance § Free basic life and disability insurance § Paid childbirth and parental leave § Award-winning 401(k) (6% matching plus 3.5% annually) § Learning opportunities and tuition assistance § Flexible schedules and time off (PTO and holidays) § Onsite gyms and wellness programs § Extensive relocation packages (outside a 50 mile radius) Additional Details Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements. Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947. Instructions on How to Activate/Create a LANL Jobs Account: Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account: • Select the Click Here button if you have been employed with the Lab or received insurance coverage. • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system. • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account: • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account. • From here, you will establish an account with username and password How to Apply: How to Apply: Login to Your Account to Complete the Application Process Click the Vacancy Name number (in blue) to view any job's details. • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.

Company Description Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating next-generation bioinformatics and data management tools. As a member of our multidisciplinary team, you will collaborate with experts in artificial intelligence, machine learning, molecular biology, software engineering, and interface with experimentalists generating large datasets to explore opportunities to advance scientific capabilities in detection and surveillance of novel and emerging pathogens. This will include the development of new methods, tools, and algorithms for metagenomic sequence data analysis and pathogen characterization in addition to working with multiomic datasets and applying state of the art machine learning models for integrated data analysis and prediction. This position is in the Advanced Biotechnologies Integration group in the Biosciences and Biotechnology Division (BBTD). You will Analyze metagenomic datasets from environmental (e.g., wastewater, aerosol) and clinical (nasal swab, saliva, etc) samples to determine taxonomy and function.Research, develop, and implement computational and statistical techniques for analyzing novel and unknown sequences.Develop simulation-based and agentic tools for hypothesis generation and in silico testing.Contribute to biological data management such as metadata schemas, databases, data catalogs and integrated workflows.Contribute to and influence the development of innovative projects, principles, and ideas in biosurveillance and biodetection.Interact with technical contacts at sponsor and partner organizations routinely; represent the organization on specific technical projects.Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field.Contribute to the completion of project milestones, balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with minimal direction within the scope of assignments.Lead the development of manuscripts and presentations documenting project activities and research results.Oversee the activities of other personnel, providing informal mentoring and guidance to less experienced team members.Perform other duties as assigned. Qualifications Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.Master's degree in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or equivalent combination of education and related technical experience..Significant experience in metagenomics, bacterial genomics, and next-generation sequencing (NGS) analysis.Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow, PostgreSQL, MySQL, MongoDB, and HPC schedulers.Significant experience developing and deploying end-to-end workflows for pathogen detection, taxonomic classification, genome assembly, subtyping, and metagenomic analysis.Proven ability to translate mission needs into scalable, reusable analytical frameworks and tools, with experience supporting both research and operational bioinformatics activities.Advanced experience in large data management such as metadata schema development, data cataloging, database development, and integration with pipelines, AI/ML models and workflows.Significant experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or running numerical simulations of complex workflows.Advanced verbal and written communication skills necessary to collaborate within a team environment and present technical information to varied audiences.Effective interpersonal skills and initiative necessary to interact with all levels of personnel and work independently in a collaborative, multidisciplinary team environment.Advanced ability to balance multiple projects, prioritize competing demands while maintaining high-quality standards, and provide guidance and informal mentoring to other personnel and junior team members.Ability to represent the organization as a primary technical contact and to contribute to the development of innovative projects, principles, and ideas. Qualifications We Desire PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.Significant knowledge in gene calling, biological process modeling, or application of protein and genome language models sufficient to communicate effectively with team members and subject matter experts.Experience and advanced knowledge in developing and applying algorithms in advanced machine learning or cell modeling.Significant experience developing and implementing machine learning models such as deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning. Pay Range $175,530 - $222,564 annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Additional Information #LI-Onsite All your information will be kept confidential according to EEO guidelines. Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor!Flexible Benefits Package 401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Our values - visit https://www.llnl.gov/inclusion/our-values Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .

Raiz Diagnostics is developing an AI-driven molecular diagnostic platform designed to classify lymphoma subtypes directly from transcriptomic data obtained from routine biopsy specimens. The platform combines next-generation sequencing with machine learning to deliver rapid, scalable lymphoma diagnosis and subtype classification. Our goal is to replace complex multi-test diagnostic workflows with a single sequencing-based assay that produces accurate subtype predictions faster and more consistently than current diagnostic pathways. We are seeking a Senior Bioinformatics / Machine Learning Scientist to lead development of the computational pipeline powering our diagnostic platform. This individual will architect the full analytical workflow from sequencing data to diagnostic classification and will play a central role in bringing this technology into real clinical use. This role is a foundational technical position within the company and reports directly to the CEO and scientific founder. Role Overview The successful candidate will design and implement the end-to-end computational pipeline that converts sequencing data into clinically interpretable lymphoma subtype predictions. Working closely with the wet-lab assay development team, this scientist will: Build the sequencing analysis pipeline Train and validate the machine learning classifier Define quality control and diagnostic decision thresholds Deliver a reproducible workflow suitable for CLIA laboratory deployment The role requires strong scientific and technical ownership, close collaboration with laboratory scientists, and the ability to translate research workflows into robust clinical analysis pipelines. Key Responsibilities Diagnostic Pipeline Development Design and implement the end-to-end sequencing analysis pipeline from FASTQ files to diagnostic classification output Build workflows for alignment, expression quantification, quality control, and feature extraction Develop reproducible computational workflows suitable for regulated clinical environments Machine Learning Classifier Development Train and optimize machine learning models to classify lymphoma and lymphoma subtypes from transcriptomic data Work with a large training cohort of clinically adjudicated cases Implement robust validation strategies including cross-validation, calibration, and subtype performance analysis Define classification confidence thresholds and indeterminate result rules Assay and Platform Development Evaluate sequencing strategies including Oxford Nanopore long-read transcriptomics and Illumina RNA-seq Collaborate closely with the wet-lab scientist to optimize assay design, sequencing parameters, and quality control thresholds Ensure computational methods align with assay performance and clinical requirements Clinical Pipeline Implementation Implement version-controlled and reproducible pipelines suitable for CLIA laboratory workflows Support development of validation documentation and computational traceability Work with regulatory consultants and clinical partners to support diagnostic validation Technical Leadership Serve as the computational lead for the platform Help shape future computational infrastructure and team expansion Mentor additional bioinformatics or data science hires as the company grows Help build and establish effective AI usage across the business, bringing AI-assisted tools into day-to-day workflows beyond the diagnostic pipeline Required Qualifications MS, PhD, or equivalent industry experience in computational biology, bioinformatics, machine learning, computer science, or a related field Strong experience developing machine learning models for biological or genomic data Experience building bioinformatics pipelines for sequencing data Proficiency in Python or R and scientific computing workflows Experience working with large biological datasets and implementing robust validation strategies Ability to work independently and drive technical development in a startup environment Comfort working with AI-assisted coding tools (e.g. coding copilots /agentic developer tools), and interest in helping establish AI usage across the company Preferred Qualifications Experience with RNA-seq or transcriptomic data analysis Familiarity with sequencing technologies such as Oxford Nanopore or Illumina Experience building reproducible pipelines using workflow systems such as Nextflow, Snakemake, or similar tools Experience working with clinical genomics or molecular diagnostics Familiarity with software practices supporting regulated environments including version control, reproducibility, and documentation Clinical Impact The platform is designed to improve access to expert-level lymphoma diagnosis across diverse healthcare environments. Today, accurate lymphoma classification often requires complex multi-test workflows and subspecialty pathology expertise that may not be available in many community hospitals or regional medical centers. By combining scalable sequencing workflows with machine learning classification, the technology aims to enable rapid, high-quality molecular diagnosis across academic centers, community hospitals, and health systems that lack specialized diagnostic infrastructure. Over time, this approach has the potential to expand access to accurate cancer diagnostics both across the United States and globally. What Makes This Role Unique Opportunity to build the core computational engine of a new molecular diagnostic platform Direct collaboration with leadership and clinical experts Work at the intersection of genomics, machine learning, and clinical oncology Significant technical ownership with the ability to shape the company’s future computational team Location Los Angeles / UCLA area preferred, with flexibility for exceptional candidates. Benefits: 401(k) 401(k) matching Health insurance On-site gym Paid time off Vision insurance Work Location: In person

Company Description Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating next-generation bioinformatics and data management tools. As a member of our multidisciplinary team, you will collaborate with experts in artificial intelligence, machine learning, molecular biology, software engineering, and interface with experimentalists generating large datasets to explore opportunities to advance scientific capabilities in detection and surveillance of novel and emerging pathogens. This will include the development of new methods, tools, and algorithms for metagenomic sequence data analysis and pathogen characterization in addition to working with multiomic datasets and applying state of the art machine learning models for integrated data analysis and prediction. This position is in the Advanced Biotechnologies Integration group in the Biosciences and Biotechnology Division (BBTD). You will Analyze metagenomic datasets from environmental (e.g., wastewater, aerosol) and clinical (nasal swab, saliva, etc) samples to determine taxonomy and function.Research, develop, and implement computational and statistical techniques for analyzing novel and unknown sequences.Develop simulation-based and agentic tools for hypothesis generation and in silico testing.Contribute to biological data management such as metadata schemas, databases, data catalogs and integrated workflows.Contribute to and influence the development of innovative projects, principles, and ideas in biosurveillance and biodetection.Interact with technical contacts at sponsor and partner organizations routinely; represent the organization on specific technical projects.Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field.Contribute to the completion of project milestones, balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with minimal direction within the scope of assignments.Lead the development of manuscripts and presentations documenting project activities and research results.Oversee the activities of other personnel, providing informal mentoring and guidance to less experienced team members.Perform other duties as assigned. Qualifications Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.Master’s degree in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or equivalent combination of education and related technical experience..Significant experience in metagenomics, bacterial genomics, and next-generation sequencing (NGS) analysis.Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow, PostgreSQL, MySQL, MongoDB, and HPC schedulers.Significant experience developing and deploying end-to-end workflows for pathogen detection, taxonomic classification, genome assembly, subtyping, and metagenomic analysis.Proven ability to translate mission needs into scalable, reusable analytical frameworks and tools, with experience supporting both research and operational bioinformatics activities.Advanced experience in large data management such as metadata schema development, data cataloging, database development, and integration with pipelines, AI/ML models and workflows.Significant experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or running numerical simulations of complex workflows.Advanced verbal and written communication skills necessary to collaborate within a team environment and present technical information to varied audiences.Effective interpersonal skills and initiative necessary to interact with all levels of personnel and work independently in a collaborative, multidisciplinary team environment.Advanced ability to balance multiple projects, prioritize competing demands while maintaining high-quality standards, and provide guidance and informal mentoring to other personnel and junior team members.Ability to represent the organization as a primary technical contact and to contribute to the development of innovative projects, principles, and ideas. Qualifications We Desire PhD in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.Significant knowledge in gene calling, biological process modeling, or application of protein and genome language models sufficient to communicate effectively with team members and subject matter experts.Experience and advanced knowledge in developing and applying algorithms in advanced machine learning or cell modeling.Significant experience developing and implementing machine learning models such as deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning. Pay Range $175,530 - $222,564 annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.  An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Additional Information #LI-Onsite All your information will be kept confidential according to EEO guidelines. Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Our values - visit https://www.llnl.gov/inclusion/our-values Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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. Labcorp is seeking a US based remote Bioinformatics Scientist I to join our team! Job Responsibilities We are seeking an initiative-taking and skilled Bioinformatician. This position offers an excellent opportunity for a recent graduate with a Master’s or PhD to apply for advanced training in bioinformatics, computational biology, and data analysis in a collaborative research environment. As a Bioinformatics Scientist, you will collaborate closely with our research scientists and data analysts, contributing to high-impact projects that involve complex data interpretation and algorithm development. Key Responsibilities Advanced Data Analysis: Perform sophisticated analysis of genomic datasets using state-of-the-art bioinformatics tools and pipelines.Algorithm Development and Optimization: Develop, refine, and implement algorithms for data processing, including sequence alignment, variant calling, gene expression analysis, and network biology.Software Development: Contribute to the development and enhancement of bioinformatics software tools and pipelines, ensuring they meet the research needs of the team.Collaborative Research: Work collaboratively with cross-functional teams, providing bioinformatics expertise to support ongoing research projects and studies.Data Interpretation and Reporting: Analyze and interpret complex biological data, preparing detailed reports and presentations to communicate findings to both technical and non-technical stakeholders.Literature Review and Research: Stay abreast of the latest bioinformatics methodologies and advancements, integrating new approaches into ongoing projects. Minimum Qualifications Master’s degree in bioinformatics, computational biology, genetics, or computer science.2 or more years of experience in programming languages Python, R, Perl, or Java.2 or more years of experience in bioinformatics, or computational biology. Preferred Qualifications Ph.D. in bioinformatics, computational biology, genetics, or computer science.2 or more years of experience with machine learning or AI applications in biology.2 or more years of experience with high-throughput sequencing data and bioinformatics tools like BLAST, GATK, or Bowtie. Additional Job Standards Demonstrated ability to analyze large, complex datasets and derive meaningful insights.Ability to effectively communicate written and verbally and collaborate in a multidisciplinary team environment.Ability to convey complex technical information to both scientific and non-scientific audiences.Ability to demonstrate meticulous attention to detail with strong organizational and documentation skills. Application window open through: 06/09/2026 Pay Range: $90k - $105k (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. 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.