Bioinformatics Jobs

Mercor is hiring a Bioinformatics Researcher on behalf of a leading AI lab. In this role, you’ll **build reproducible pipelines for genomics and proteomics data**, applying machine learning and statistical methods to sequence, expression, or imaging datasets. You’ll surface meaningful biological signals that drive scientific discovery and AI-powered biological research. This position is ideal for candidates at the intersection of biology, data science, and machine learning. • * * ### **You’re a great fit if you:** - Have a background in **bioinformatics, computational biology, or related fields**. - Are proficient in **Python and R**, with libraries like **pandas, NumPy, SciPy, and scikit-learn**. - Have hands-on experience with **Biopython** and formats like **FASTA and VCF**. - Are skilled in building **reproducible pipelines** for large-scale biological data. - Understand **genomics, proteomics, and molecular biology datasets**. - Have experience with **statistical modeling and ML methods** for biological data. - Use **Jupyter** notebooks or similar tools for experimentation and collaboration. - Care about bridging **biology, computation, and AI research**. • * * ### **Primary Goal of This Role** To design and implement reproducible pipelines for genomics, proteomics, and imaging datasets, applying ML and statistics to uncover biological insights. • * * ### **What You’ll Do** - Build and maintain **pipelines** for genomics and proteomics datasets. - Apply **machine learning and statistical models** to biological sequence and expression data. - Use **Biopython and scikit-learn** to extract meaningful biological signals. - Work with **FASTA, VCF, and related data formats** in large-scale pipelines. - Collaborate with AI researchers and biologists to integrate bioinformatics into research. - Document workflows to ensure **reproducibility and transparency** in biological analysis. • * * ### **Why This Role Is Exciting** - You’ll drive discovery at the **intersection of AI and biology**. - You’ll apply **ML and statistical tools** to cutting-edge biological datasets. - You’ll help unlock insights in **genomics, proteomics, and imaging data**. - You’ll build the foundation for **AI-powered breakthroughs in life sciences**. • * * ### **Pay & Work Structure** - You’ll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20–30 hrs/week) with flexible hours—work from anywhere, on your schedule. - Weekly Bonus of **$500–$1000 USD** per 5 tasks. - Remote and flexible working style.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position • You’ll be able to choose which projects you want to work on • You can work on your own schedule • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots complex biology questions and evaluate their outputs • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level) • Detail-oriented • Understanding of cell biology, genetics, biochemistry, and experimental methods • A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. #bio

Job Description The Zimmerman lab at OUHSC is broadly focused on understanding the function of monocytes and tissue resident macrophages in mouse models of polycystic kidney disease (PKD), acute kidney injury (AKI), and heart failure with preserved ejection fraction (HFpEF) using state-of-the-art techniques including single cell RNA sequencing (scRNAseq) and spatial transcriptomics. Using omics' approaches, we have defined how disease sequalae alters macrophage phenotype in mouse models and developed monocyte/macrophage specific knockout mice to test the functional importance of predicted cytokines in vivo. We have also set our sights on understanding how omics data from human patients cross-references across model systems including mice, rat, and organoids using deep learning approaches. Responsible for developing and performing bioinformatics analysis to support research investigators in their projects primarily for the analysis of genomics, proteomics, metabolomics and lipidomics data sets. Engages with investigators during the experimental design phase to ensure resulting data sets properly address research inquires. Oversight of computing clusters, either on campus, at remote sites, or in the cloud. Duties: • Analyzes large data sets for genomics, proteomics, metabolomics, and lipidomics projects including exporting data from the producing instruments to the computing cluster. • Draws conclusions from data analysis and interfaces with investigators to discuss conclusions. • Maintains data storage and databases for high throughput data archiving and analysis, as well as deposition of into public repositories. • Trains investigators and students in various bioinformatics analysis approaches and software packages. • Maintains computing clusters through installation of software packages related to bioinformatics analysis. • Oversight and maintenance of access to computing clusters, either on site, off site, or in the cloud. • Ensures computing equipment is sufficient to properly support the bioinformatics needs of investigators. • Pursues continuing education to ensure the latest technologies, programming language developments, and approaches are implemented for support investigators and enhance job performance. • Performs various duties as needed to successfully fulfill the function of the position. At OUHC, we value our employees and are proud to offer a comprehensive benefits package that supports both personal and professional well-being. Team members enjoy generous paid time off, including an extensive holiday schedule, along with robust healthcare benefits to keep you and your family healthy. We offer a competitive retirement plan to help you plan for the future, and our tuition waiver program provides educational opportunities for both employees and their eligible dependents. Join a collaborative and mission-driven environment where your work makes a difference every day. Job Requirements Required Education: Bachelor's degree in a relevant field (e.g. Biology, Neuroscience, Biochemistry, or Microbiology with a computational focus; Computer science with a biological focus; or a related discipline) AND: • 72 months of experience applying bioinformatics analysis to large data sets in the biomedical research field. Equivalency/Substitution: Will accept a Master's degree in a biological science with 48 months of experience OR a PhD in biological science with 24 months of experience. Skills: • Proficient in computer programming languages used for bioinformatics analysis such as R and Python or other applicable languages such as PHP, Java, and Perl as well as MySQL databases • Knowledge of Unix, Linux, and Windows operating systems • Well versed in bioinformatics and systems biology with knowledge in machine learning tools preferred • Knowledge of database design and maintenance • Excellent communication and presentation skills • Ability to manage multiple projects at the same time • Ability to work independently and as a team member • Proven experience in fostering and maintaining relationships with investigators Certifications: None Working Conditions: • Physical: • Sitting for prolonged periods. • Manual dexterity. • Speaking, listening, reaching and bending • Environmental: • Standard office environment. Why You Belong at the University of Oklahoma: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here! Equal Employment Opportunity Statement: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.

PolyCypher Health — Research Scientist / Bioinformatics Innovator (Part-Time) PolyCypher Health is looking for a postdoc, staff scientist, or student (Bachelor’s, Master’s, or PhD at any stage, given research proficiency) in biostatistics, statistics, computational biology, genomics, applied math, or computer science to help us build the next generation of disease prediction technology. Our mission is to predict diseases before they occur, combining genomics, EHR data, and cutting-edge AI method development. This is a part-time, flexible contributor role focused on scientific methods, polygenic risk scoring, and model validation. You will also work directly with PolyCypher’s CTO and COO/Lead AI Scientist, influencing core scientific and technical decision-making. We do not expect candidates to have all skills listed: if you have some of them and a strong desire to learn, you should apply. Mission + Impact: PolyCypher Health is building models that can meaningfully extend healthy human lifespan. We combine polygenic risk scores, clinical data, and modern computational approaches to identify disease risks before symptoms appear. Our work aims to become part of preventative medicine, expand access to personalized health insights, and improve clinical decision-making across diverse populations. Your work here will directly advance: - Early disease prediction through rigorous PRS and model development - Equitable precision medicine, with models validated across ancestries and biobanks - Open-source scientific tools that elevate the entire field - Clinical and research pipelines used by partners and collaborators You will help shape foundational technology that influences healthcare, longevity, and personalized prevention at scale. Core Responsibilities: - Develop and validate polygenic risk score (PRS) methods. - Test, benchmark, and refine statistical and computational models. - Build and evaluate scientific software within a Python/Rust codebase. - Work with large genomic/EHR datasets supporting research and platform development. - Contribute to open-source scientific tools and internal R&D. - Collaborate asynchronously and independently, making key design decisions. - Work directly with the CTO and COO/Lead AI Scientist on high-impact research and method development. Preferred Experience: - PhD / post-doc strongly preferred - Polygenic risk scoring (PRS), statistical genetics, or disease-risk modeling - Experience with large biobanks: All of Us (AoU) or UK Biobank (UKBB) - Scientific validation, including calibration, AUC/r² evaluation, benchmarking - AWS engineering skills (EC2, Batch, S3, Lambda, etc.) - Programming in Python and/or Rust (Rust experience welcome but not required) - Strong foundations in statistics, machine learning, numerical methods, or computational modeling - Experience publishing in genomics, statistical genetics, or polygenic risk scoring, or demonstrated contributions to related scientific literature - Experience using LLMs or agents for software development Nice-to-Have Experience: - Hazard/survival models - Spline models, penalization, or generalized additive modeling - Genomics pipelines, VCF/array data, imputation workflows - Low-level programming (Rust/C/C++) - AI/ML: LLMs, medical language models, agent frameworks, or automation - Software engineering: testing, reproducibility, optimized computation What We Value: - Curiosity and genuine enjoyment of learning - Strong critical thinking and elegant model design - Comfort working independently and proposing solutions - Ability to quickly absorb new concepts and methods - Passion for precision medicine, genetics, and preventative healthcare Additional Details: - Part-time with fully flexible hours, with the possibility to transition into a full-time position - Fully remote - Primary tech stack: Python / Rust, with significant AWS integration - Real ownership of projects and scientific influence - Work directly with the company’s technical leadership Challenge: send us a message using the command line. This will email the founding team. 1. Open your terminal. 2. Use POST on this API endpoint (HTTPS, linebreaks indicate where periods "." should go in the URL): 3ogn9nt6a3 execute-api us-east-2 amazonaws com/prod/api/contact 3. Header: Content-Type: application/json 4. Request body schema: { "source": "contact", "name": "string (required)", "email": "string (required)", "organization": "string (optional)", "interest": "string (required, one of: healthcare, research, enterprise, partnership, other)", "message": "string (required)" } 5. Using curl or similar command-line tool, send a POST request with your information. You are allowed to use AI or Google to help you. Complete the challenge and we will look more favorably on your application–good luck! The message can be whatever you would like to share. Job Type: Part-time Expected hours: 2 – 24 per week Application Question(s): • What's your GitHub? Work Location: Remote

Note: The job is a remote job and is open to candidates in USA. Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. The role of Computational Bioinformatics Analyst involves providing support in computational analysis and developing systems for managing and analyzing patient data, particularly in the context of genomics and precision medicine. Responsibilities • Provides support in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, infamome, transcriptome, epigenome, and genome, as well as the integration of such with electronic medical record platforms. • Possesses proven academic track record of innovation in one or more of these areas. • The computational and database systems developed by the application will be used to gather, generate, and track patient data and develop medically actionable hypothesis. • Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. • Establishes data analysis plans for each project, project tracking, outcome monitoring, statistical validation and analysis, and manuscript generation. • Understands bioinformatics data format, tools, and analytical approaches. • Conducts gene pathway analysis. • Understands data and where/how it is stored. • Writes standard operating procedures (SOPs) for clinical test and writes out valid documentation. • Programming for analysis of data. • Develops computational services, takes genetic test results and runs quality analysis, then generates report to reporting platform to be reviewed and sign off by at the lab. • Statistical validation and analysis. • Assists in determining the required statistical analysis or finds and/or creates new analysis. • Develops ways to analyze gene expression data picked up from publicly available sources. • Identifies what algorithms best analyze the data. • Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination. • Critically evaluate existing bioinformatics tools and statistical learning methods to best gain insights from experimental and production data, developing new methods as necessary. • Ensure data integrity, traceability, accuracy, and security throughout the analysis pipeline. • Implement analysis pipelines using software engineering best practices (code review, version control, automated testing). • Interfaces with various stakeholders including Research and laboratory professionals. • Present results in written or oral reports for computational biologists, molecular biologists, clinicians, and research collaborators. • Understands best practices for data management especially large sets of genomic data. • Enhance, maintain, and support established NGS pipelines and workflows for clinical applications. • Analyze and visualize laboratory and other clinical data using established data analysis methods and newly developed tools. Skills • Master’s in Bioinformatics, Biostatistics or Biomedical engineering or a Ph.D. in a related math or science field is required. • Experience in bioinformatics or closely related field is required including demonstrated experience in next generation sequence analysis. • Proven track record in analyzing, interpreting, and modeling biological data, including next-generation sequencing data, using scripting languages and statistics software packages for data manipulation, analysis, and visualization. • Experience using statistical and machine learning methods as applied to molecular biology and genomics. • Proficient in using a wide range of bioinformatics tools and resources for genomics and sequence analysis. • Experience deploying automated analysis pipelines using cloud computing resources. • If applicant’s Master’s or Ph.D. requires licensure, certification, or registration, this must be achieved or eligibility and timeline for achievement is agreed upon before hire. • Experience with electronic medical record (EMR) APIs and interfaces and movement of data out of and into EMRs is desirable. • Experience in programming Python, Perl, R, Ruby and Java is desirable. • Experience with the integration and management of multiple data sources, workflows, and enabling integrated management of and reporting on those data and process through graphical user interfaces is desirable. • Preference will be given to those individuals with expertise in genetic and/or epigenetic analyses and medical and/or research informatics experience. Benefits • Health insurance • Dental insurance • Vision insurance • Life insurance • A 401(k) retirement plan • Work/life balance benefits • A generous time off package to maintain a healthy home-work balance Company Overview • Sanford is a healthcare company providing research, education and clinical care. It was founded in 1894, and is headquartered in Sioux Falls, South Dakota, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Sanford Health has a track record of offering H1B sponsorships, with 14 in 2025, 38 in 2024, 38 in 2023, 51 in 2022, 64 in 2021, 30 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply tot his job

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work The candidate will be part of the Bioinformatics R&D team in Clinical Next Generation Sequencing Division and will be responsible for primer design for the development of targeted sequencing panels, pipelines and algorithms for next-generation DNA sequencing. The role will focus on designing panels for plants and animals for agricultural applications. As the leading supplier of life science technology and related applications, we are helping life scientists understand and use the power of genomics to pursue new scientific discoveries and advance clinical research in personalized medicine. A day in the Life • Design assays for custom targeted sequencing panels for external researchers. • Understand the core scientific questions and design assays to address these questions. • Work closely with external customers to understand their requests and provide the best design solution that meets their needs. • Develop, maintain, and operate bioinformatics pipelines for assay design, data mining and analysis. • Improve the designs by iterative analysis of the sequencing data obtained. Develop heuristic rules, optimization, and algorithms to improve the design pipeline. • Identify and implement new technologies and methods for optimizing and automating the pipeline for primer design, data analysis, storage, and sharing. Keys to Success Education • PhD in bioinformatics, computational biology, statistics, Genomics or biological sciences with 1 year of relveant working experience • MS with 3+ years of relevant working experience Experience • Proficiency in Python and shell scripting. Experience with REST APIs, AWS (S3, containerization, Kubernetes). • Hands-on experience with bioinformatics production systems. • Experience with sequence analysis tools (e.g., BLAST, MAFFT/Clustal, Bowtie/BWA, samtools/bedtools) and strong understanding of genomic databases/annotations (e.g., GenBank/RefSeq, ENSEMBL, UCSC). • Understanding of NGS data and common analyses (genotyping, gene expression, comparative genomics, genetic mapping); appreciation of statistical methods and mathematical models for interpreting biological data. • Plant‑genome familiarity: experience addressing challenges typical of plant genomes (e.g., polyploidy and repeats) and designing assays across cultivars/varieties; familiarity with genome resources such as Ensembl Plants/RefSeq. Knowledge, Skills and Abilities • Strong communication and organizational skills; self‑motivated and collaborative with excellent problem‑solving and troubleshooting abilities • Committed to delivering high‑quality results on time with integrity and professionalism. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits The salary range estimated for this position based in Texas is $101,725.00–$131,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: • A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

The Institute for Genome Sciences (IGS), University of Maryland School of Medicine (UMSOM) invites applications for tenure-track faculty positions at the rank of Assistant Professor or Associate Professor. Applicants are expected to participate in a transdisciplinary research program and should possess demonstrated expertise in developing and applying multi-omics approaches for basic and translational biomedical research. We especially encourage applicants with research programs focused on developing machine learning / AI methods for bioinformatics, subclone and mutational analysis, genome structure, epigenetics, antigen prediction, immune repertoire sequencing, or other related areas. Qualifications The successful candidate will hold a Ph.D., M.D., or M.D./Ph.D. in genomics, computational biology, bioinformatics, biostatistics, bioengineering, computer science, mathematical biology, or a related discipline, with a strong background in analyzing and integrating tumor biology and clinical data streams. Biologists and clinical investigators with strong backgrounds in applying computational methods to these problems will also be considered. Candidates should demonstrate the potential to establish a funded research program and have a strong track record of collaborations with clinical and basic scientists. The successful candidate will be expected to engage in mentoring and teaching and contribute to the service missions of IGS as well as the broader UMSOM. We welcome applicants with research experience in academia, industry, or government who can bring all perspectives and expertise to our team. About the Institute for Genome Sciences IGS (www.igs.umaryland.edu) is a transdisciplinary research institute committed to high-impact science that advances global human health. With a collaborative faculty of over 30 investigators, IGS fosters a highly integrative research environment with expertise spanning the quantitative and data sciences, systems biology, human genomics, and microbial genomics. Faculty at IGS have access to state-of-the-art genomics resources, including PacBio, Illumina, and Oxford Nanopore sequencing platforms, as well as single-cell and spatial transcriptomics through Maryland Genomics, our high-throughput core laboratory. Faculty also benefit from advanced computational infrastructure for high-throughput genomics datasets and data infrastructure supporting numerous genomics consortia. The candidate will be encouraged to build a research program collaborating with other departments and clinical programs at the University of Maryland School of Medicine, enhancing opportunities for cross-disciplinary clinical research with the University of Maryland Medical Center. Expected rank for this position will be Assistant Professor or higher, however, final rank and tenure status will be commensurate with selected candidate’s experience. The salary range for this position is $129,058 to $174,687 which represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine’s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position participates in a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school. UMB is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. If you need a reasonable accommodation for a disability for any part of the employment process, please submit an online request or contact HRDiversity@umaryland.edu. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees To Apply: Please apply by submitting a cover letter, curriculum vitae, a description of your research program, and contact information for three references to bali@som.umaryland.edu. Review of applications will begin immediately and continue until positions are filled

Description The Leidos Public Health Division is hiring a Bioinformatics professional who will emphasize both pipeline development and scientific communication, training, and documentation. The successful candidate will support projects of public health significance by developing and optimizing reproducible bioinformatics workflows and by translating complex analytical results into clear, accessible materials for diverse scientific and technical audiences. The ideal candidate will have strong experience in transcriptomics and next-generation sequencing (NGS) data analysis, including quality control, assembly, annotation, alignment, variant detection, and preferably phylogenetic analysis of microbial genomes and metagenomes. Extensive hands-on experience with bioinformatics pipeline development using Nextflow is expected. This position offers a flexible schedule and is open to telecommuting, with a preference for candidates located in Atlanta, GA, for occasional in-person meetings. MUST be a U.S. citizen and be able to successfully pass a background check with the CDC. KEY RESPONSIBILITIES Bioinformatics Development • Develop, test, and deploy bioinformatics pipelines using Nextflow in a High-Performance Computing (HPC) environment. • Analyze NGS data (QC, assembly, alignment, annotation, variant calling, phylogenetics) for microbial and metagenomic studies. • Write and maintain custom scripts in Python, Perl, and R. • Use both open-source and proprietary bioinformatics tools (e.g., CLC Genomics Workbench, Geneious). • Support modeling and simulation of biological processes using Bayesian inference or genetic algorithms. • Develop and manage curated genomic sequence databases (e.g., AMR and virulence markers). • Collaborate with DevOps and system engineers to incorporate best software development practices. Scientific Writing & Communication • Create high-quality Standard Operating Procedures (SOPs), training materials, user guides, user communications, and knowledge base articles. • Translate complex bioinformatics workflows and analytical results into accessible content for technical and non-technical audiences. • Develop user-friendly documentation for HPC computational tools, workflows, and data portals. • Deliver live or recorded training sessions and contribute to the design of scientific web content and training pages. • Provide editorial and quality review for documents created by other team members. • Offer second-level support for users of HPC and bioinformatics services. • Prepare peer-reviewed manuscripts, abstracts, posters, and presentations in collaboration with researchers and public health partners. MINIMUM QUALIFICATIONS • A Ph.D. degree in bioinformatics, genomics, molecular biology, genetics, or a related field. • 2+ years of hands-on bioinformatics experience through professional, academic, or research work • Experience in developing pipelines using Nextflow (primary), Snakemake, and/or Workflow Description Language (WDL). • Experience with processing of high-throughput data and possessing strong data management and analysis skills. • Experience working in Linux environments and broad experience with open-source bioinformatics tools • Proficient coding/scripting in Python, R, Perl • Experience working in a high-performance computing environment • Strong communication skills PREFERRED QUALIFICATIONS • Hands-on bioinformatics development experience in public health • Experience in designing and conducting training workshops for the bioinformatics community on the latest bioinformatics methods and concepts • Previous work experience at CDC or other public health agencies If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: November 14, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $55,250.00 - $99,875.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

About Prima Mente Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks: • Set up and framework experimental hypotheses focussed on available datasets and models, with downstream evaluation criteria to assess performance. • Identify and curate public and proprietary datasets across different multi-omic, multi-modal types. • QC and data analysis. • Multi-omic bioinformatics pipeline development. • Cloud infrastructure. • Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. • Work with experimental and machine learning teams to confirm and refine computational findings. • Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc nextflow or flyte workflow to massively process your data. In 3 months you directly own and have created an optimised analysis or data processing pipeline and generated results fit for patent and publication. In 6 months you have integrated your research into our AI models. Why Join Us: • Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. • Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. • Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. • Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field. Who You Are You want to redefine what’s possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data from Alzheimer’s patients as well as top tier publications and / or patents. We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal experience • Top tier publications. • Patent experience. • First-hand experience with generating biological insights from biological data (genomics, epigenetics, transcriptomics proteomics, ATAC-Seq). • Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. • Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs. Good working knowledge of workflow managers, including but not limited to NextFlow. • Expertise with statistical approaches applied to evaluating biological datasets. • Strong working knowledge with cloud computing environments, including but not limited to AWS. • Domain knowledge with advanced artificial intelligence approaches and experience applying them to a biological context. • Familiar with data wrangling, analysis, and visualisation libraries using Python (preferable), R or Julia. • Strong data engineering knowledge, including but not limited to experience with Spark, Hadoop, NoSQL. Location Based in San Francisco, US or London, UK. We support visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our ValuesExceptional performance at exceptional pace • The solutions we build demand uncompromising quality and rigour. • The problems we are solving are grave and present. Inquisitive discovery • We embrace curiosity and creativity. • Every question is a path to a transformational breakthrough. Radical candour • We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality • Every individual in our team is celebrated for their identity, uniqueness, and experiences. • We are invested in each one’s bespoke personal development. • Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale • We have a steadfast commitment to improve the health and well-being of patients globally. • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

Bioinformatics R&D Intern: Dive Into the World of Molecular Magic with Hologic’s Core Service Team! Ready to geek out over data, code, and actual molecules? Join our Core Service Bioinformatics R&D crew for a 10-12 week internship where science meets innovation. Our team is all about improving molecular assays, and you’ll get hands-on experience with everything from computational analysis to wet lab experiments. You'll work side-by-side with mentors who love sharing knowledge, and your contributions will help real-world healthcare projects come to life. What you’ll be up to during your 10-12 week adventure: • Write and maintain analysis scripts (Python, R, or your favorite language). • Manage cool computational workflows on Linux systems for data analysis and simulations. • Use bioinformatics and statistical tricks to evaluate sequence modifications. • Try your hand at wet lab experiments to test and validate oligonucleotides (yes, you’ll get to wear a lab coat). • Summarize, visualize, and share your findings with the team (bonus points for creative charts). Who we’re hoping to meet: • You can work full-time during the summer (May/June - August/September). • You’re currently working on your Bachelor’s or Master’s degree, with at least one semester left after the internship. • Your major is in Bioinformatics, Computational Biology, Data Science, Biology, Biochemistry, Chemistry, or something similar. • You’re heading into your junior or senior year. • You know how to get your point across, whether you’re writing or speaking. • You have some experience with coding (Python, R, etc.) and Linux systems. • You’re curious about both computational and wet lab work—double the fun! • You love working with others and aren’t afraid to ask questions. • You’re organized and ready to tackle complex problems (with a little help from your new friends). Location, pay & other important details: • You can work onsite at our Marlborough, MA campus. Heads up: intern housing, relocation, and housing stipends aren’t provided, so you’ll need to have your living situation and transportation sorted out. • Pay range: $22 - $35 per hour, based on your class standing and operational function. • The chance to work with a team that’s genuinely invested in your growth. • Networking, mentorship, and skill-building opportunities—all designed to help you thrive. Take your internship to the next level at Hologic! When you join Hologic as a Summer Intern, you’re not just clocking in for a job—you’re jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you’ll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. #LI-EK1