Bioinformatics Jobs

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Bioinformatics & Computational Single-Cell Genomics Expert Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities Design challenging computational problems to evaluate AI capabilities in scientific research.Create problems requiring skilled use of specialized scientific software like scanpy, scvelo, squidpy, and gudhi.Test and refine problems against state-of-the-art AI models to achieve target difficulty.Develop problems that require strategic planning and efficient narrowing of possibilities.Work independently to refine problem designs based on feedback. Qualifications Must-Have Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).Proven proficiency with at least one of the listed scientific software libraries.Strong Python skills.Ability to work independently and refine problem designs.Comfortable working in a Linux/terminal environment. Preferred Experience across multiple listed domains or tools.Familiarity with benchmark or evaluation design.Background in scientific teaching or exam/problem-set design.Experience with computational reproducibility and containerized environments. Application Process (Takes 20–30 mins to complete) Upload resumeAI interview based on your resumeSubmit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward.We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position We are seeking an experienced and motivated Bioinformatics Scientist to join our Bioinformatics and Data Science Team focused on developing regulated diagnostics products. The ideal candidate will bring deep expertise in NGS technologies with a strong understanding of regulatory environments including CAP/CLIA and IVD product development. The successful candidate will play a crucial role in designing, developing, and optimizing our next generation of genomic assays. This position requires a unique blend of expertise in bioinformatics, extensive experience in assay optimization, analytical validation, strong skills in analytical pipeline development, automation and optimization, a deep understanding of molecular biology, and a passion for transforming complex biological data into actionable insights. Key Responsibilities Lead bioinformatics design, development and validation efforts in assay development for new and on-market products. As part of project core teams, this individual must be responsible for coordinating planning, execution, and delivery within timelines and budget constraints.Apply leading edge knowledge in bioinformatics, genomics, and assay technologies, to contribute to development of company's concepts and principles and to achieve assay development objectives in creative and effective ways.Drive development study design and all analysis for assay development effort in collaboration with cross-functional teams.Develop statistical and machine learning techniques to comprehensively evaluate assay performance and create optimization strategies.Communicate analysis results, methodologies, and scientific findings to internal teams, external collaborators, and stakeholders.Develop scalable, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments.Facilitate successful production pipeline deployment by working closely with infrastructure and engineering teamsEnsure compliance with regulatory standards (CAP/CLIA, FDA, IVDR) throughout the bioinformatics development lifecycle, including rigorous testing and documentation.Contribute to regulatory submissions and audits by providing technical documentation and validation reports.Provide scientific guidance and mentorship to junior bioinformatics team members. Who You Are REQUIRED EXPERIENCE: PhD or MS in bioinformatics, computational biology, or an adjacent data science field, such as biostatistics, statistics or computer science.Proven experience - A minimum of 6 -7 years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.Thorough understanding of NGS technologies and various methods for library preparation (WGS, enrichment, RNA-Seq, methylation, etc.).Proficiency in quantitative transcriptomics from NGS or expression microarray data in human disease/biology specifically, such as differential expression, dimension reduction, expression-based classifier development, RNA-based signatures, cell type deconvolution.Proficiency in machine learning, development of novel bioinformatics methodologies, and algorithms development, including benchmarking of computational methods.Proven experience developing and deploying bioinformatics workflows in AWS (e.g., EC2, S3, Step Functions, Batch, Lambda, etc.).Strong proficiency in Python, including experience with testing frameworks and SDLC best practices.Close collaboration with Quality and Regulatory Affairs team on assay and analysis pipeline development and verification.Demonstrated record of technical and scientific leadership, ownership, and independent work. RELEVANT EXPERIENCE (preferred But Not Required) Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team.Proficiency in genomics, sequence analysis, and secondary analysis, such as variant calling (e.g., SNVs/MNVs/indels, CNV, structural variants), NGS QC, splicing, circular nucleic acids.Strong understanding of germline and somatic mutation processes leading to complex variation and genome-wide biomarkers with potential clinical utility, such as TMB, mutational signatures, LOH.Working knowledge of R.Experience with relational and non-relational database technologies is a plus.Excellent communicator about complex technical topics in an interdisciplinary setting, especially by using data visualizations and diagrams.Excellent technical problem solving and troubleshooting skills. Cultural Fit Passion for Innovation: You are deeply curious and driven to explore uncharted territories in genomics. Your passion for discovery motivates you to use novel analytical approaches to bring new insights to assay optimization and evaluation. Collaborative Spirit: You thrive in a collaborative environment, bringing a positive, can-do attitude to interdisciplinary projects. You are skilled at communicating complex ideas to non-experts and active listening, fostering an inclusive atmosphere that values each team member's contribution. You are receptive to feedback and motivated to better serve the team’s needs.Adaptability: In our fast-paced industry, change is constant. You are agile and flexible, ready to pivot strategies in response to new data or technologies. Your resilience and open-mindedness help our team navigate the uncertainties inherent in groundbreaking research. , or For candidates based in our San Diego office, the salary range is $160,000 - $180,000. For candidates based in our South San Francisco office, the salary range is $175,000 - $189,000. For candidates working remote (US), the salary range is $150,000 - $168,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $150,000—$189,000 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com

About PredicinePredicine Inc. is a precision oncology company advancing the fight against cancer through cutting-edge genomic technologies and liquid biopsy solutions. We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next-generation diagnostics from bench to bedside — faster, smarter, and more accessible. Join a team where your work directly impacts patient outcomes and the future of cancer care. Position Overview: The (Senior) Bioinformatics Scientist, Clinical Data Science and Data Management will support clinical studies and clinical trials through rigorous clinical data science and data management. This role integrates clinical, assay, biomarker, genomic, sample, and operational datasets into accurate, traceable, analysis-ready data assets. The position emphasizes clinical study/trial data management, clinical reporting, data transfer specifications, data quality, validation, and reproducible outputs. At the senior level, the incumbent will lead cross-functional data workflows from study setup through reporting, partnering with clinical, data management, biostatistics, regulatory, QA, project management, laboratory, and external stakeholders to ensure data integrity and audit-readiness across the study lifecycle. Job SummaryWe are seeking highly motivated individuals to support clinical studies and clinical trials through rigorous clinical data science and data management. The incumbent will integrate clinical, assay, biomarker, genomic, sample, and operational datasets into accurate, traceable, analysis-ready data assets. The role emphasizes clinical study/trial data management, clinical reporting, data transfer specifications, data quality, validation, and reproducible outputs. For senior positions, the candidate will lead cross-functional data workflows from study setup through reporting with clinical, data management, biostatistics, regulatory, QA, project management, laboratory, and external partners. This is an exciting opportunity to join a fast-growing startup, accelerate your growth, and make a positive, immediate impact on cancer diagnosis and treatment. What You'll DoKey Responsibilities & Time Allocation % of TimeResponsibility30%Clinical Data Management & Analysis — Lead clinical study/trial data management and analysis, including data plans, integration, cleaning, reconciliation, QC, and analysis-ready dataset generation.20%Reporting & Workflow Tools — Develop and maintain clinical reporting, DTS/DTA, data transfer, ETL, and workflow automation tools for test and production data.20%Data Specifications & Documentation — Define and maintain data specifications, data dictionaries, CRF/sample data requirements, validation documentation, and audit-ready records.20%Multi-Source Data Integration — Integrate clinical metadata, assay results, NGS/biomarker data, sample tracking, and outcome data for study reporting and interpretation.10%Reporting & Stakeholder Deliverables — Generate reproducible tables, listings, figures, dashboards, reports, and written summaries for internal and external stakeholders. What You BringEducation MinimumPreferredLevelMaster's degree with 3+ years of relevant experienceDoctorate (PhD)Field of StudyBioinformatics, Biostatistics, Data Science, Computational Biology, Biomedical Informatics, Clinical Research, or related fieldSame fieldsExperience MinimumPreferredWork Experience2+ years in clinical study/trial data management, clinical reporting, DTS/data transfer, or biomarker analysisOncology diagnostics, NGS/biomarker data, clinical outcomes, or regulated clinical reporting experience Required Skills & Qualifications Strong R and/or Python data analysis skills; SQL, SAS, ETL, or workflow automation experience is a plusHands-on clinical study/trial data management, including cleaning, harmonization, QC, traceability, and documentationFamiliarity with DTS/DTA, clinical data exchange, GCP/GCLP, CRFs, data dictionaries, validation, and study reportingStrong attention to detail, data quality, reproducibility, compliance, and audit readinessExcellent cross-functional communication skillsPreferred Skills & Qualifications Experience with oncology diagnostics, NGS/biomarker data, clinical outcomes, or regulated clinical reportingPharma, biotech, CRO, central-lab, or clinical research industry experienceJoin UsAt Predicine, you won't just manage data — you'll build the traceable, audit-ready foundation that makes cancer diagnostics and clinical trials trustworthy. If you're detail-driven, thrive on cross-functional collaboration, and want your work to directly support better patient outcomes, we want to hear from you. Apply today and help us turn breakthrough science into better patient outcomes. Predicine is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 You’ll help develop advanced NGS workflows and bioinformatics solutions. You will contribute to developing fully automated, sample-to-report NGS workflows for both clinical and research applications, with a focus on oncology. Working with cross-functional teams of algorithm developers, software engineers, molecular biologists, and product managers, you will help advance genomic analysis and precision medicine. Location This is a fully onsite position based in South San Francisco, CA or Pleasanton, CA site. Relocation assistance is not available for this role. A Day in the Life Design, develop, and optimize bioinformatics pipelines supporting next-generation sequencing (NGS) workflows for oncology and other clinical and research applicationsDevelop automation tools and scalable software solutions to streamline genomic data processing and analysisCollaborate with cross-functional teams, including software engineers, algorithm developers, molecular biologists, and product managers, to deliver integrated sample-to-report solutionsValidate bioinformatics algorithms and workflows while ensuring compliance with quality and regulatory standardsTranslate customer and scientific requirements into technical specifications and software requirementsSupport product development through data analysis, troubleshooting, testing, and documentationMaintain clear technical documentation and contribute to continuous process improvement initiatives Keys to Success Education Bachelor's degree in Bioinformatics, Computational Biology, Biomedical Engineering, or related biological field with 8+ years of experience in bioinformatics, with focus on NGS applications and oncology; OR Advanced Degree with 6+ years of experience Experience Experience developing bioinformatics pipelines and genomic analysis workflows in regulated environmentsProficiency with common bioinformatics tools and algorithms for NGS analysisExperience with variant calling, sequence alignment, and functional annotationStrong programming skills in Python, Perl, and shell scriptingExpertise working in Linux/Unix environments and relational databasesExperience with testing and documentation in regulated environmentsExperience supporting cross-functional software or product development teamsExperience with cloud platforms (AWS) and containerization technologies Knowledge, Skills, and Abilities Knowledge of statistical analysis and machine learning techniquesFamiliarity with Java programming is desiredDemonstrated project coordination and cross-functional team collaborationClear written and verbal communication skillsDetail-oriented with ability to adapt to team standardsUnderstanding of clinical and regulatory requirements for diagnostic applicationsKnowledge of software development best practices and version control systemsStrong analytical and problem-solving abilities Other Must be legally authorized to work in the United States without sponsorship now or in the futureMust be able to pass a comprehensive background check and drug scre Compensation and Benefits The salary range estimated for this position based in California is $129,400.00–$165,000.00. 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

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into real insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl’s multi modal scientific processing pipelines. You will own the workflows that transform raw biological data into clean, reproducible outputs that power Mithrl’s AI Co-Scientist. These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow and nf-core style pipelines, implement modality-specific validation and QC layers, and collaborate with the Tabular Data Team and Knowledge Curation Team to ensure downstream data harmonization, variable ID mapping, and schema alignment. Your work ensures that scientists can ask questions and receive accurate data-backed answers instantly. If you enjoy building robust scientific workflows and want to work on high impact problems, you will thrive here. WHAT YOU WILL DO Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability Implement quality control, validation, and provenance tracking for all supported modalities Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into Mithrl’s internal schemas, including variable ID coercions, metadata normalization, and feature name harmonization Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies Produce structured output artifacts so users can download processed data and supporting metadata directly through the platform WHAT YOU BRING Required Qualifications 6 to 8 years of experience in bioinformatics workflow engineering or computational biology Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems Proficiency in Python or R for data processing, QC, and pipeline logic Hands-on experience building pipelines for multiple biological data types, including genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics Ability to design pipelines that are reproducible and containerized using Docker or Singularity Strong understanding of secondary and tertiary data layers and how they integrate with downstream analysis systems Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats Nice to Have Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy Familiarity with genomic reference databases, annotation formats, and biological ontologies Previous work in a tech bio startup, biotech R&D group, or scientific software company WHAT YOU WILL LOVE AT MITHRL You will build the core pipelines that transform raw biological data into insights used by the AI Co-Scientist Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and women's health datasets. This unique role blends expertise in bioinformatics, artificial intelligence (AI), machine learning (ML), and the manipulation of complex real-world data (RWD). Candidate will leverage advanced AI methodologies to extract actionable clinical insights from vast multimodal datasets (genomics, clinical, demographic), driving impactful data visualization and advancing our application of genomics in a real-world clinical setting. The ideal candidate should have strong project management skills, and a keen eye for visualizing complex data in an impactful way to advance our understanding and application of genomics in a real-world setting. Key Responsibilities: Bioinformatics & Genomic Analysis: Lead the analysis of large-scale cancer and germline multi-omics datasets to extract meaningful insights. Utilize and augment traditional bioinformatics tools with AI-driven techniques to interpret genomic data within the context of RWE studiesRWD/RWE Analysis: Lead the extraction, curation, and analysis of large-scale RWD sources, including Electronic Health Records (EHR), claims data, and patient registries. Design and execute robust RWE studies to support clinical, commercial, and regulatory objectives.Data Integration and Management: Facilitate the integration of omics data with other types of data (clinical, demographic, etc.) to enrich the analyses. Manage large datasets and ensure data integrity and confidentiality.AI & Predictive Analytics: Develop, train, and deploy advanced artificial intelligence and machine learning models (e.g., Deep Learning, NLP, ensemble methods) to forecast trends, patient outcomes, and biomarker discovery using RWD and genomics data. Apply state-of-the-art AI frameworks to identify hidden patterns that inform clinical decision-making and product strategy.Unstructured Data Integration: Facilitate the integration of highly complex, multimodal datasets. Utilize NLP and LLMs to extract valuable structured insights from unstructured clinical notes, pathology reports, and other disparate RWD sources. Manage large datasets while ensuring strict data integrity and confidentiality.Project Management: Oversee and manage RWD and genomics projects from inception to completion. Ensure that projects are completed on time, within budget, and meet high-quality standards.Cross-Functional Collaboration: Work closely with other departments such as R&D, Data Science, Business Development, Medical Affairs, Product Management, and Engineering to integrate genomics and clinical data into broader research and development initiatives.Reporting and Communication: Present complex RWE data and analyses in a clear and comprehensible manner to a variety of audiences, including non-experts. Prepare detailed reports and publications.Innovation and Development: Stay abreast of the latest developments in genomics and bioinformatics. Propose and develop new methods and technologies for advanced data analysis.Stakeholder Engagement: Engage with key stakeholders to define project goals, report progress, and discuss findings. Act as a liaison between the technical team and non-technical stakeholders.Desired qualifications: Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related fieldAt least 10 years of relevant experienceProven expertise in bioinformatics, particularly in genomics data analysis. Demonstrated expertise in cancer genomics, including genomic alterations, molecular pathways, and cancer biologyExpert knowledge of bioinformatics tools including mapping, variant calling, CNV analysis and statistical methodsStrong experience in managing, querying, and analyzing massive-scale genomic and healthcare datasets using SQL, Python, or R, and data visualization toolsAdditional expertise in germline genetics, particularly in relation to organ health and prenatal health, is a significant plus.AI/ML Expertise: Proficiency in predictive analytics, advanced machine learning, deep learning, and statistical modeling. Strong hands-on experience with AI frameworks such as PyTorch, TensorFlow, Keras, etc.Understanding of real-world clinical data, such as electronic health records, claims data, patient registries, health surveys. Familiarity with common data models (e.g., OMOP) and experience utilizing NLP/LLM to parse unstructured clinical data.Ability to interpret clinical endpoints, understand patient cohorts, and collaborate with clinical stakeholdersKnowledge of translational medicine and/or early discovery in the biotech or pharmaceutical industry is a plusExcellent project management skills with a proven track record in leading successful projectsExperience managing one or more direct/indirect reports.Exceptional communication skills, demonstrating the ability to translate complex models and RWD findings to both technical and clinical/non-technical stakeholders. Ability to produce high quality written documentation for varying audiencesProven experience collaborating with cross-functional teams including clinicians, scientists, biostatisticians, regulatory and stakeholders.Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: Annual performance incentive bonus Long-term equity awards Comprehensive health benefits (medical, dental, vision) 401(k) with company match Generous paid time off and company holidays Additional wellness and work-life benefits Compensation Range $158,000-$197,500 USD OUR OPPORTUNITY Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: BBB announcement on job scamsFBI Cyber Crime resource page Skills: Analysis Skills, Artificial Intelligence (AI), Bioinformatics, Biology, Biomarkers, Biostatistics, Biotech and Pharmaceutical, Budget Management, Business Development, Cancer, Clinical Data, Clinical Pathology, Clinical Support, Communication Skills, Compensation and Benefits, Cross-Functional, DNA, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Deep Learning, Demographics, Disease Prevention and Control, Documentation, Domain Names, Employee Benefits, Forecasting, Genetic Diseases, Genetics, Genomics, Health Plan, Healthcare, Machine Learning, Medical Affairs, Medical Record System, Medicine, Natural Language Processing (NLP), Oncology, Predictive Modeling, Product Engineering, Product Management, Product Strategy, Progress Reports, Project Tracking, Project/Program Management, Publications, Python Programming/Scripting Language, Quality Metrics, Query Analysis, R Programming Language, Regulations, Reporting Skills, Research & Development (R&D), SQL (Structured Query Language), Software Engineering, Standards of Care, Statistical Modeling, Statistics, Testing, Time Management, Training Data Sets, Unstructured Data, Women's Health undefined: Natera Inc

Bioinformatics AnalystThis position is responsible for preparation, maintenance, duration, and analysis of data from sequencing projects that generate and complement genomic, transcriptomic, metagenomic, and metatranscriptomic data. Works independently to accomplish project goals and support improvements in tools and processes. Bioinformatics Analysts contribute to all phases of the genomic data analysis to maintain JCVI's scientific leadership through the application of bioinformatics and software engineering tools and techniques to solve JCVI's bioinformatics challenges.Essential FunctionsProduction annotation activities which include metagenomic assembly, binning, and annotation.Analysis and synthesis activities which include interpreting and analyzing biological information derived from annotations; performing tasks to reduce and consolidate output from software; preparing data and reports for utilization by other scientists. Examples may include:Data mining and analysis which includes using various internal resources, public databases and maintaining knowledge of appropriate scientific literature.Performing statistical analysis.Performing comparative analysis.Public resource development which includes integrating genomic data with external data. Examples may include:Collecting and curating primary data.Creating and populating database tables and/or websites.Integrating data into a database or a larger project.Synthesize analyses into publication ready text.Machine learning and explainable AI: Many of the above-mentioned datasets have far more features than classification. We utilize custom and off-the-shelf methods for feature selection and classification modeling to identify features of interest.Works under direct supervision to execute bioinformatics assignments to meet project goals. Must be able to work independently accordingly to experience, exercising analytical judgment and involving supervisory personnel where appropriate.The Bioinformatics Analyst assignments will be determined by management as a function of business requirements and personnel capabilities. The dimensions upon which an Analyst's established capabilities and professional growth will be judged are based on the ability to:Execute complex tasks effectively with limited supervision.Provide project leadership and mentoring beyond the scope of their own work, including leadership of small ad-hoc project teams.Define and estimate scope of tasks prior to implementation.Execute projects within estimated time frames.Develops and maintains an understanding of the scientific and biological domain supported by the team, as well as bioinformatics tools, software, and IT technologies used by the team.Collaborates closely and effectively with software, bioinformatics, scientific, information technology, and administrative personnel within and outside the Institute to accomplish goals. Is an effective member of annotation and other multi-disciplinary teams.Abides by environmental, health and safety policies and procedures. This includes reporting potential hazards and, when necessary, helping to implement solutions to ensure safety and respect for the environment.Performs other duties as assigned.Strictly adheres to all documented JCVI policies and procedures to include carrying out all functions required of Institute employees (i.e., completion of timesheets in an accurate and timely manner).PrerequisitesBachelor's or Master's degree in the Biological or Computational Sciences, plus experience working with computers in the field of biological sciences.Specific technical skills and experience pre-requisites will be established for each Bioinformatics Analyst position, and may include some combination of the following:Bioinformatics tools and techniquesPython or R coding skillsOperating Systems: UNIX and UNIX variants, Windows, and/or Macintosh.Solid knowledge of molecular biology, as it relates to DNA sequences, sequencing technologies, and genomics.Strong written and verbal communication skills.Excellent organization and time management skills and ability to meet schedules.Ability to collaborate across a multi-disciplinary team and work independently.Work EnvironmentThe work environment characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Moderate noise (i.e., business office with computers, phones, printers, light traffic)Ability to work in a confined area.Ability to sit at a computer terminal for an extended period of time.Physical DemandsThe physical demands described here are representative of those that must be met to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.While performing the duties of this job, the employee is regularly required to stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard reach, stoop kneel to install computer equipment.Specific vision abilities required by this job include close vision requirements due to computer work.Light to moderate lifting is required.J. Craig Venter Institute is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Bioinformatics Scientist | South San Francisco, CA (Remote Flex) I'm working on a retained search for a high-growth DNA sequencing company that's quietly become one of the most-used platforms in modern biotech — Nobel laureates, top-tier startups, and DIY biohackers all run their science through this platform daily. They're building something genuinely different: a team that moves at software speed inside a biology world. If you've ever been frustrated by how slow biotech moves, this is for you. The Role This isn't a "maintain the pipeline" job. You'll be architecting production-grade bioinformatics workflows that process thousands of samples per day, developing novel algorithms that turn raw sequencing data into fast, intuitive insights, and translating that science directly into user-facing experiences. You'll also mentor teammates and help set the technical direction of the function. What They're Looking For PhD in Bioinformatics, CS, Statistics, Physics or similar — with 3+ years building production pipelinesDeep domain expertise in at least one of: microbial genomics (assembly/metagenomics), variant calling/large-scale genomics, or bulk/single-cell RNA-seqProduction experience with Nextflow or Snakemake, including cloud deploymentsStrong Python (numpy, pandas, biopython, Jupyter) and solid Linux/Git fundamentalsBonus: a track record of publishing or developing novel bioinformatics algorithms Why It's Worth a Conversation ✅ Mission-driven accelerating life-saving research globally ✅ Small, elite team real ownership and impact from day one ✅ Fast-moving culture that rewards intellectual curiosity Contact Sam Shinner at Discover International to apply

The Chan Zuckerberg Biohub San Francisco (CZ Biohub SF) (https://www.czbiohub.org/sf/) is an independent nonprofit research institute that brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. CZ Biohub SF itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environmentsWe enable individual investigators to pursue their riskiest and most innovative ideasThe technologies developed at CZ Biohub San Francisco facilitate research by scientists and clinicians at our home institutions and beyondDiversity of thought, ideas, and perspectives are at the heart of CZ Biohub Network and enable disruptive innovation and scholarly excellence. We are committed to cultivating an inclusive organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Data Science platform at CZ Biohub SF (https://www.czbiohub.org/data-science/) is seeking an Associate Bioinformatics Scientist/Computational Biologist to join a fantastic team of computational biologists and data scientists. We develop computational methods, pipelines, and software that enable Biohub’s research across quantitative cell biology and infectious disease. In this position, you will closely collaborate with biologists and engineers from Biohub research groups such as the Royer group (https://www.czbiohub.org/royer/) and the Balla group (https://www.czbiohub.org/balla/). Potential projects include Developing workflows to process and analyze single-cell multi-omics datasets (both in-house and publicly available datasets) to gain a holistic view of transcriptional regulation during zebrafish developmentParticipating in data integration across multiple modalities (single-cell genomics, microscopy, etc.) to create a resource for the broader scientific community. Prime examples are our previous work, such as Zebrahub (https://zebrahub.ds.czbiohub.org) and OpenCell (https://opencell.czbiohub.org).Contributing to interactive web portals for in silico genetic perturbations on developing zebrafish at whole organism scale - Zebrahub v2.0 (https://zebrahub.ds.czbiohub.org).This is an excellent opportunity to do both research and engineering at the intersection of bioinformatics, infectious diseases, and cell biology. You will Contribute to scientific discovery via analysis of single-cell multi-omics datasets (transcriptomic, epigenomic, and/or proteomic)Participate in developing bioinformatics tools and web portalsOptimize and execute data processing pipelines in an HPC environmentPartner with biologists to conduct data mining and exploratory data analysisAuthor publications and disseminate research discoveries to the scientific communityYou have Essential – S. or M.S. degree in Data Science, Computational Biology, Bioinformatics, or a related disciplineA minimum of 2 years of experience with scientific programming languages and data science workflows (e.g. Python, R, Git, UNIX command line, etc.)Familiarity with professional software development best practices (documentation, version control, etc.)Proven ability to implement exploratory data analysis and statistical inference in the context of scientific researchA collaborative, team-focused mindset coupled with outstanding communication skills, and the ability to work in an agile environmentNice to have - Experience with single-cell RNA-seq data analysis and/or other multi-dimensional omic data modalitiesFamiliarity with the concepts of molecular biology, cell biology, genomics, and biostatisticsExperience with high-performance computing (HPC) clusters and job schedulers such as SlurmEnthusiasm for systems biology and development of open-source softwareExperience with using machine learning algorithms to extract insights from complex datasetsResearch experience in academic laboratories is highly preferredThe Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date. Compensation $72,000 - $99,000What We Provide Resources to disrupt and innovate at the frontiers of our knowledge of biology and diseaseA collegial and collaborative environment consisting of diverse expertiseExisting collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group LeadersAccess to collaborators, resources and facilities at our three partner universities (Stanford, UC Berkeley, and UC San Francisco) and at partner organizations in the Bay Area and beyondCompetitive compensation and benefits commensurate with experienceBenefits We offer a robust benefits program that enables the important work Biohubbers do everyday. Our benefits include healthcare coverage, life and disability insurance, commuter subsidies, family planning services with fertility care, childcare stipend, 401(k) match, flexible time off and a generous parental leave policy. In addition, we honor our commitment to career development and our value of scholarly excellence through regular onsite opportunities to learn from the world's leading scientists. The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The PositionWe are seeking a talented and highly motivated Senior Bioinformatics Scientist to support the development of Roche Diagnostics Molecular Assays that have a global impact on patient care. This role requires a broad understanding of assay development across diverse technologies, including NGS, Nanopore sequencing, and PCR. The successful candidate will collaborate closely with bioinformaticians, wet lab scientists, and external customers to design, implement, and maintain internal algorithms and tools for clinical diagnostic assay development. The Opportunity: ​ Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing assays and workflows for clinical diagnostic applications. Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from tumor, germline, and cell-free DNA samples. Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality. Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses. Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability. Communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration. Who You Are: Required: You have a Bachelor's Degree and 7+ years of experience Preferred: You have a PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2 years of industry experience in clinical diagnostics or related domain or a Masters degree in Bioinformatics, Computational Biology, Statistics, or a related field with 5 years of industry experience in clinical diagnostics or a related domain You have expertise in DNA/RNA sequencing data analysis and interpretation. You have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes. Behaviors, competencies, and qualities of the ideal applicant. You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment. (Proficiency in C++ or Java is a plus) You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills You are skilled in writing and maintaining bioinformatics workflows using workflow management systems such as Snakemake or Nextflow You have a solid understanding of cancer biology and in vitro diagnostics (IVD). ​Relocation benefits are not available for this posting. The expected salary range for this position based on the primary location of California is $ 102,100 - $167 7850. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.