Bioinformatics Jobs

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Why Us We are a multi-disciplinary and multinational team focused in using next-generation sequencing technology to transform human health and save patient's lives. Our team works at the interface of research and clinical practice developing and improving innovative algorithms to biomarkers and variants that fill gaps in clinical practice, focusing primarily on oncology. We collaborate deeply with internal and external teams, to augment DRAGEN, Illumina's software platform to analyze high-throughput sequencing data, remove barriers for its use in clinical settings, and develop new biomarkers in areas such as MRD and methylation. Why You We know the importance of your role and offer you a collaborative and supportive environment in which you are actively encouraged to develop your skills and knowledge. Illumina's mission is to improve human health by unlocking the power of the genome - if that inspires you, let's talk. If you are excited as we are about using genomics to transform the practice of medicine, have a proven track record of algorithm development, data analysis, and strong coding ability, this is the role for you. You will be part of a culture fueled by innovation, collaboration, and openness. To be successful as a Staff Bioinformatics Scientist, you will need a background in bioinformatics with a particular focus on algorithm development, biomarkers and oncology. Previous experience with at least two: statistics, common bioinformatics methods, next generation sequencing analysis, and oncology will be key to your success. This role may be performed remotely within the US but the position requires accommodation to meeting times to overlap with Pacific time zone hours. The Role The Staff Bioinformatics Scientist will drive the development of algorithms for detecting minimal residual disease in ctDNA samples using signals from small variant calling, copy number calling, fragmentomics, and methylation. This role will also assist in improving algorithms for therapy selection across a range of variant types and biomarkers. Responsibilities: Prototype novel NGS algorithms for clinical oncology use cases such as MRDAssess and improve existing secondary analysis algorithms for variant and biomarker detectionIn collaboration with external and internal experimental teams, design and analyze experiments to support existing or new Illumina oncology assays.Provide technical guidance to internal and external collaborators.Participate in cross functional assay and algorithm R&D teams with minimal oversight.Effectively communicate plans and results across functions Requirements: PhD in bioinformatics, computation biology, statistics, math or related field with 3+ years industry experienceFluency in at least two of statistics, common bioinformatics methods NGS analysis, and oncology.Proven track-record with developing bioinformatics NGS algorithms beyond leveraging already existing tools.Fluency in programming languages such as Python. Experience with C++ is desiredGood communication skills to contribute to cross functional project teams and work with stakeholders. #LI-REMOTE The estimated base salary range for the Staff Bioinformatics Scientist -- Oncology/MRD Algorithm Development role based in the United States of America is: $155,600 - $233,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long-term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.

Position Overview: Role-Bioinformatics Product Owner Location-Remote (PST Hours) Contract Duration: 6+ months with a high possibility of extension . Job Summary We are seeking an experienced Product Owner to drive the development of a cutting-edge test designed to identify clinically actionable mutations in patients with solid tumors. This role is crucial in ensuring seamless coordination across software development, bioinformatics, clinical genomics, and regulatory teams to deliver high-quality, compliant, and innovative software solutions for precision oncology. Key Responsibilities Define and execute the product roadmap for NGS bioinformatics pipeline and supporting software. Prioritize and manage the product backlog, ensuring alignment with business objectives and clinical needs. Collaborate with stakeholders (Clinical Development, Laboratory Operations, Medical Affairs, Bioinformatics, Engineering) to optimize NGS pipeline performance and data analysis. Define epics, user stories, and functional software requirements in JIRA & Confluence. Work closely with bioinformaticians and engineers to ensure seamless NGS data analysis and downstream interpretation. Lead Agile ceremonies (sprint planning, backlog grooming, sprint reviews, and retrospectives). Provide business and domain expertise to software developers and QA teams during SDLC. Develop documentation for computer systems validation (CSV) and ensure adherence to FDA regulatory guidelines. Apply in-depth bioinformatics knowledge to refine NGS pipeline, variant analysis, and clinical reporting. Ensure that the pipeline meets cancer genomics guidelines (e.g., CAP, AMP, FDA, and CLIA standards). Collaborate with data scientists and bioinformaticians to enhance whole genome, whole exome, and transcriptomics analysis. Communicate effectively with scientific, technical, and business teams to align product development with clinical and regulatory requirements. Work with regulatory teams to ensure compliance with oncology diagnostics guidelines and FDA standards. Coordinate with Quality Assurance to develop verification and validation test plans for software supporting NGS workflows. Required Skills & Qualifications Domain Expertise Strong background in Bioinformatics, Cancer Genomics, and NGS Data Analysis. Experience with NGS pipelines, Whole Genome, Whole Exome, and Transcriptomics workflows. Knowledge of clinical genomics guidelines (FDA, CLIA, CAP, AMP). Technical & Software Development Knowledge Understanding of NGS tools, workflows, and cloud-based orchestration (AWS HealthOmics, Nextflow, etc.). Familiarity with Software Development Lifecycle (SDLC), Agile methodologies, and documentation best practices. Experience using JIRA & Confluence for requirement tracking and task management. Product Management & Leadership Proven experience as a Product Owner in a bioinformatics, clinical genomics, or oncology-related software environment. Strong requirement gathering, task prioritization, and delivery-focused mindset. Excellent communication, teamwork, and stakeholder engagement skills. Regulatory & Compliance Knowledge Familiarity with FDA regulatory requirements for genomics software. Experience with Computer System Validation (CSV) and compliance documentation. Key Skills – Quick Reference In-depth knowledge in Bioinformatics. Cancer Genomics. Whole Genome, Whole Exome Sequencing and Transcriptomics analysis. Understanding of NGS Tools and applications. NGS Pipeline and data analysis. Downstream analysis of NGS data. Requirement gathering and refinement expertise. Knowledge of SDLC. Documentation. FDA Compliance knowledge. Knowledge of guidelines to follow on cancer genomics. Experience working as a Product Owner. Task prioritization. Delivery-oriented mindset. Excellent communication and teamwork skills. Great attention to detail. Organizational skills. Analytical mindset. JIRA & Confluence. Other Job Details Work Schedule: PST Hours Interviews: Video interviews. Docs required: ID proof will be required. Availability: Candidates able to join immediately are preferred

About the Role reputed company, WhatJobs Direct, is seeking a highly experienced Principal Research Scientist to lead our Genomics and Bioinformatics initiatives. This position is fully remote, allowing talented individuals to contribute from anywhere within the United States. You will be instrumental in reputed company our research agenda, developing novel analytical approaches, and interpreting large-scale genomic datasets to uncover biological insights. This role offers the unique opportunity to shape the direction of critical research projects, collaborate with a global team of leading scientists, and work with vast datasets in a flexible, home-based environment. We are committed to fostering a culture of scientific excellence, innovation, and continuous learning, empowering our team members to make significant contributions to the field. Your deep expertise will be crucial in advancing our understanding of complex biological systems. Key Responsibilities Lead the design and execution of complex genomic and bioinformatics research projects. Develop and implement advanced computational pipelines for analyzing next-generation sequencing (NGS) data. Analyze and interpret diverse genomic datasets, including whole-genome sequencing, exome sequencing, and transcriptomics. Collaborate closely with experimental biologists, clinicians, and other researchers to address key scientific questions. Develop and apply statistical and machine learning methods for biological data analysis. Visualize and communicate complex findings to both technical and non-technical audiences. Stay at the forefront of genomic technologies, bioinformatics tools, and analytical methodologies. Mentor and guide junior scientists and bioinformaticians. Contribute to grant writing and secure research funding. Ensure high-quality data management, documentation, and reproducible research practices. Requirements Ph.D. in Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, or a related quantitative field. Minimum of 8 years of post-doctoral or industry experience in genomics and bioinformatics research. Proven track record of leading significant research projects and delivering impactful results. Extensive experience with NGS data analysis, including variant calling, genome assembly, and RNA-Seq analysis. Proficiency in programming languages such as Python, R, and reputed company scripting. Deep understanding of statistical genetics, population genetics, and molecular biology. Experience with big data technologies (e.g., Spark) and cloud computing platforms (AWS, GCP, Azure). Excellent analytical, problem-solving, and critical thinking skills. Exceptional written and verbal communication skills, essential for remote collaboration and presentation. Ability to work independently, manage priorities, and lead teams effectively in a remote setting. Benefits Executive-level compensation package, including competitive base salary and bonus structure. Fully reputed company arrangement with significant flexibility. Comprehensive health, dental, and vision insurance. Generous paid time off, sick leave, and holidays. Retirement savings plan with employer match. Home office setup budget and technical support. Professional development funds for conferences, workshops, and training. Access to powerful computational resources and cutting-edge software tools. A highly collaborative and intellectually stimulating reputed company environment. Opportunities for career advancement and leadership in a growing research organization. Apply tot his job Apply To this Job

Our bioinformatics team develops and supports next-generation sequencing assays for oncology and other human genomic applications. We are seeking a hands-on bioinformatics scientist who can combine strong programming skills with human genomics expertise to support the design, evaluation, and improvement of targeted NGS assays. This role is well suited to someone who enjoys working directly with sequencing data, investigating unexpected assay behavior, developing reproducible analyses, and translating complex findings into clear technical conclusions. The scientist will work closely with molecular biology, software, product development, regulatory, and clinical teams. Responsibilities: Develop reproducible analyses and computational workflows in Python, R, and/or Bash to evaluate NGS assay performance. Analyze DNA and RNA sequencing data generated from targeted assays, including SNVs, indels, CNVs, fusions, coverage, assay artifacts, and other performance characteristics. Investigate assay failures and unexpected results using sequencing data, genomic context, experimental metadata, and appropriate statistical or computational approaches. Support development and optimization of targeted amplicon-based NGS assay workflows. Use public genomic and oncology resources such as ClinVar, gnomAD, TCGA/cBioPortal, dbSNP, and primary literature to research genomic targets and interpret assay results. Work closely with molecular biology scientists to translate experimental observations into testable computational analyses and assay improvements. Develop tools, scripts, and analytical methods that improve the efficiency, robustness, or interpretability of assay development. Maintain well-organized, reproducible analyses with clear version control, data provenance, and documentation. Communicate findings through concise technical reports, figures, presentations, protocols, and other documentation that can be understood by both computational and non-computational collaborators. Manage multiple development projects and analyses while maintaining clear records of assumptions, methods, results, and outstanding questions. Qualifications: MS or PhD in bioinformatics, computational biology, genetics, genomics, or a related field. Demonstrated hands-on programming experience in Python, R, or another general-purpose scientific programming language. Candidates should be comfortable writing their own analysis code rather than relying primarily on graphical or preconfigured analysis tools. Strong knowledge of human genomics and genetic variation. Experience analyzing human NGS data, including alignment, QC, variant analysis, and interpretation. Familiarity with common genomics file formats and tools such as FASTQ, BAM/CRAM, VCF, BED, BWA, samtools, bedtools, GATK, or equivalent tools. Demonstrated ability to independently investigate complex datasets, identify the source of analytical or experimental problems, and communicate conclusions. Strong scientific writing and documentation skills, with evidence of producing reproducible analyses, technical documentation, protocols, reports, publications, or similar work. Strong organizational skills and ability to manage multiple analyses and development activities with appropriate documentation and follow-through. Ability to communicate effectively with molecular biologists, software engineers, and other cross-functional collaborators. Preferred Qualifications: Experience developing or analyzing targeted NGS assays using amplicon sequencing or hybrid capture. Experience with oncology genomics, somatic variant analysis, low-input DNA, FFPE, cfDNA, or other clinically relevant sample types. Experience evaluating assay performance metrics such as coverage, uniformity, sensitivity, specificity, background error, limit of detection, or variant-calling performance. Experience with primer/probe design, target-region design, or computational support of molecular assay development. Experience developing new algorithms or analytical methods for genomic data. Experience with reproducible development practices using Git, Jira, containers, or similar tools. Please note: You must complete all application questions to be considered for the role Pillar Biosciences is an equal opportunity employer We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company Description Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description We have an opening for a highly motivated Postdoctoral Researcher to conduct research in computational structural biology and develop bioinformatic methods for predicting protein-protein interactions in host-pathogen systems using evolutionary and structural information. Current structure prediction tools, such as RoseTTAFold3, AlphaFold3, and ESMFold2, excel at monomeric structure prediction and at predicting known protein complexes. However, these tools struggle to identify which proteins interact and which do not. Residue-residue coevolution can be leveraged to predict interactions within organisms, but these signals are challenging to extract for interactions between organisms. You will build and leverage large protein sequence datasets to enable accurate interaction prediction and apply these methods to identify novel biological systems. You will be an integral member of an interdisciplinary, cross-institutional team working with computational biologists and experimental biologists. You will leverage existing computational tools and develop new approaches for predicting binary interactions, interaction specificity, and protein structure. You will regularly present your work and publish your research findings, including through occasional travel to collaborate with external partners and attend conferences. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Applicants are encouraged to submit a complete application package that includes a cover letter outlining their research interests, relevant experience, and alignment with the research program; a curriculum vitae (CV) with a publication list; and contact information for three professional references. Please note that incomplete applications will not be considered. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. In this role, you will Conduct research, and contribute to designing, analyzing, and extending sequence and structure based bioinformatic tools to develop databases that will enable protein-protein interaction predictions.Interpret new/understudied biological systems through protein structure prediction.Contribute to the development of protein sequence and structure computational frameworks and analysis tools.Develop structure-based distillation datasets for team members to improve ML model development.Collaborate with external partners (Universities, Industry, other National Laboratories) to advance computational biology simulation efforts.Prepare complex and detailed progress reports, written analyses, and verbal briefings to support project needs and deadlines and to present research results to sponsors.Independently pursue the development of new and innovative research methods relevant to the needs of Laboratory programs and/or external funding agencies.Contribute to proposals and statements of work.Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings.Travel as needed to coordinate with research collaborators and to attend external meetings and conferences.Perform other duties as assigned. Qualifications PhD in Life Sciences, Computational Biology, Bioinformatics, or a related technical or scientific field. Experience working with protein sequence and structure.Strong knowledge and research experience in bioinformatics and protein structure modeling.Ability to work independently on defined research projects, as well as a member of a team with a diverse set of scientists, engineers, and other technical and administrative staff.Programming experience with Python and expertise with UNIX and high-performance computing environments.Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscripts.Ability to travel as necessary. Qualifications We Desire Strong understanding of protein bioinformatics (sequence and structure), protein structure prediction, and/or protein function prediction.Experience with DL structure prediction tools (RF3, AF3, ESMFold2).Experience in collaborating with experimental biologists. Pay Range $122,028 - $143,328 Annually This is the lowest to highest salary in good faith we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Additional Information Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, or a maximum of two years for Sidney Fernbach Fellows, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Our values - visit https://www.llnl.gov/inclusion/our-values Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How To Identify Fake Job Advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 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Job Description We are seeking a Full Stack Software Developer to join our Bioinformatics team, focused on advancing patient care through innovative software solutions. The successful candidate will design, implement, and maintain applications handling genetic data. Collaborating closely with the Data Science and Bioinformatics teams, the developer will work in an agile environment, contributing to the modernization of our systems while enhancing their own technical skills. This professional will work in a 100% remote capacity and must be located in the US. Responsibilities: Feature Development: • Design, implement, and maintain software application. • Ensure user requirements and performance standards are met. Cloud Deployment: • Deploy and manage applications for scalability and reliability. Agile Collaboration: • Participate in agile workflows, including sprint planning, daily stand-ups, and retrospectives. • Collaborate with cross-functional teams to ensure seamless integration and delivery. Quality Assurance: • Write unit, integration, and end-to-end tests to ensure code quality. • Conduct peer code reviews to uphold development standards. Qualifications: Required Work Experience: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.1+ Years of Relevant ExperienceProficiency in modern software development practices and tools (e.g., CI/CD pipelines, version control, testing frameworks).Experience with PHP, Laravel, MySQLFamiliarity with agile methodologies.Test-driven development mindset and experience writing tests.Excellent communication skills to engage with both technical and non-technical stakeholders Preferred Work Experience: Knowledge of the health industry or interest in genetics and bioinformatics. Experience implementing solutions in the cloud. AWS is preferred.Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) Physical and Mental Requirements: This role is required to collaborate with teams in US and EU, and at least 2 hour overlap during their business hours is expected Knowledge: • Proficiency in full stack development, including front-end, back-end, and databases. • Strong problem-solving abilities and a commitment to continuous learning. Skills: • Excellent collaboration and communication skills. • Adaptability to new tools and technologies 66778 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Are you a forward-thinking and curious Translational Data Scientist with deep expertise in single-cell and spatial omics and a passion for applying AI to biological discovery? Do you want to help shape the future of Immunology and Cell Therapy by generating insights that accelerate the discovery and development of transformative medicines? Welcome to AstraZeneca. We are looking for an experienced Translational Data Scientist to join our Data Science and Bioinformatics team. You will be part of the Translational Medicine and Bioinformatics department in the Immunology therapeutic area. In this role, you will work in a highly collaborative and science-driven environment focused on advancing our understanding of immune-mediated disease biology, identifying novel therapeutic opportunities, and enabling precision approaches across our Immunology portfolio from discovery through clinical development. As a department we promote an open and collaborative atmosphere, with a culture that is both science-based and patient-focused. Our mission is to understand disease mechanisms at the molecular and cellular level, identify the most effective targets, biomarkers, and patient subgroups, and support translation of scientific discoveries into medicines that improve patients’ lives. This role is located at our site in Kendall Square, Boston. Be encouraged and supported to think creatively in our dynamic environment. Here, we are free to ask the right questions and make bold decisions. We harness multi-omics, computational biology, and AI to accelerate research, connect complex molecular and clinical data to key biological questions, and ensure that discoveries made in the lab can make a meaningful difference for patients. What you will do In this role, you will provide scientific leadership in a highly cross-functional and thriving environment together with specialists in immunology, cell therapy, translational medicine, and data science, as well as with other translational data scientists and AI experts. We are looking for an outstanding Translational Data Scientist to lead the integration and interpretation of large-scale multimodal datasets, with particular emphasis on single-cell and spatial omics in immunology. You will define innovative analytical and AI-driven approaches to identify disease mechanisms, therapeutic hypotheses, biomarkers, and patient subgroups, helping to support decision-making across the portfolio. You will lead the development of transformational precision medicine propositions to deliver life-changing medicines to patients. You will be responsible for planning, performing, interpreting, and communicating analyses that maximize the value of our growing data assets. These may include single-cell transcriptomics, spatial transcriptomics, BCR/TCR repertoire data, high-dimensional immune profiling data, and other complementary molecular and clinical datasets. You will provide scientific leadership in the evaluation, adoption, and practical application of AI and machine learning methodologies across the team. This includes hands-on experience with large language models, biological foundation models, and other frontier AI approaches applied to multimodal biological data analysis, knowledge extraction, and translational insight generation. Critically, you will act as a scientific guide and quality arbiter for AI outputs; ensuring biological validity and translational relevance rather than simply a consumer of AI tools. By applying state-of-the-art computational methods and providing scientific leadership in a collaborative cross-functional setting, you will help generate actionable biological insight in immunological diseases and support the advancement of next-generation therapeutic strategies, including cell therapy. Essential for the role · Relevant PhD (or equivalent) in computational biology, translational data science, bioinformatics, biostatistics, or a related quantitative discipline, plus at least 6+ years of relevant applied experience in academia, biotech, or pharmaceutical R&D. · Substantial experience in Immunology and/or Cell Therapy research within a pharmaceutical, biotech, or leading academic environment. with evidence of shaping translational strategy or influencing programme direction. · Deep expertise in single-cell omics analysis, with strong hands-on experience in developing and applying advanced approaches to single-cell RNA-seq data and translating the results into meaningful biological or therapeutic insights. · Strong experience in spatial omics / spatial transcriptomics / spatial proteomics. · Expertise in at least one of BCR/TCR repertoire analysis or high-dimensional cytometry data analysis such as CyTOF, together with interest in working across both. · Proven experience in multimodal data integration across molecular and clinical datasets, including defining integration strategies, selecting fit-for-purpose methods, and interpreting evidence across modalities such as single-cell transcriptomics, spatial omics, immune repertoire data, cytometry, and associated metadata. · Excellent coding skills in Python, R, or similar languages appropriate for large-scale omics analysis, together with experience in version control such as Git/Bitbucket, Linux environments (cluster and/or cloud), and effective use of modern AI-assisted coding tools such as GitHub Copilot or Claude Code. · Expertise in immunology and the use of omics data to derive biological insight relevant to disease mechanisms, translational research, biomarker strategies, and therapeutic development. · Demonstrated hands-on experience applying machine learning and AI methods to biological data, including familiarity with at least one of: biological foundation models (e.g. scGPT), deep learning frameworks (PyTorch or TensorFlow), large language models for biological knowledge extraction or agentic workflows, or generative and representation learning approaches. · Ability to critically evaluate AI tool outputs in a biological and translational context. · Outstanding communication, collaboration and influencing skills, with the ability to explain complex computational analyses to both expert and non-expert audiences, provide clear recommendations to senior stakeholders, constructively challenge scientific assumptions, and build alignment across cross-functional teams. · A high degree of scientific independence, strategic judgement, curiosity, and a proactive, delivery-focused mindset. Desirable for the role · Experience with both BCR/TCR repertoire analysis and CyTOF. · Experience working within AI-augmented analytical pipelines and the ability to define when and where AI adds genuine scientific value versus where human biological judgement remains essential. · Track record of applying translational data science and computational analyses to drive decisions in drug discovery, translational science, or clinical development. · Experience leading projects and collaborating with internal and/or external partners in matrixed, multidisciplinary teams. Why AstraZeneca? At AstraZeneca we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Work policy When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. What’s next? If you are ready to make a difference - apply today, and we'll make it happen together! Diversity & Inclusion AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. How to Apply Please submit your CV together with a short cover letter outlining your relevant experience and motivation for the role. Applications will be reviewed on a rolling basis. The annual base pay for this position ranges from $143,323.20 - $214,984.80. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans. Date Posted 01-Oct-2026 Closing Date 23-Oct-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Labcorp is seeking a US remote based Bioinformatics Specialist I to join it’s team! Work Schedule: Monday-Friday, 8:00am-5:00pm (local time zone) Responsibilities: Ensure and maintain the delivery of accurate clinical reports by reviewing batch and sample level data for patient samples for Invitae, part of Labcorp Create tools and workflows to ensure the accurate processing and troubleshooting of sample data and clinical systems Next generation sequencing (NGS) performance metric analysis and monitoring Assess and troubleshoot the data systems that orchestrate the lab and bioinformatics processes Track measures of operational excellence (e.g. order turnaround time) Address production bottlenecks, investigate their causes, and facilitate solutions Develop software scripts and queries for analysis and automation Monitor delayed samples and support their resolution Assist in incident responses, process improvements, and product development Execute SOP development and improvement​​ Minimum Qualifications: High School Diploma or GED equivalent 6 years of experience working in a molecular biology environment and troubleshooting lab or software pipelines Preferred Qualifications: Bachelor’s Degree with minimum 2 years of experience working in a molecular biology environment and troubleshooting lab or software pipelines 1 yr experience with bash scripting 1 yr experience Python, R, or other programming languages 1 yr experience Git or other version control systems 1 yr experience Project management software such as Jira, Asana, Monday.com Additional Job Standards: Working knowledge of molecular genetics and experience with next generation sequencing (NGS) data, preferably in a production setting Process analysis, design, and improvement experience Experience manipulating data and troubleshooting applications in UNIX-based environments Familiarity with working in a high throughput environment and thinking about problems of scale Superior oral and written communication skills and the ability to clearly communicate technical findings to non-technical teammates Excellent ability to work with people across different teams and specializations Application Window Closes: 3/4/26**Salary Range: $75,000 - $95,000 / year All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.  Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please  click here .  Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement .

Your Responsibilities Will Include Analysis of multiomics data (e.g., NGS, transcriptomics, metabolomics) in oncology / inflammationSupport non-clinical / clinical development in all phases, analysis plan (e.g. SAP), reportingImplementation and reporting of exploratory biomarker analysesServing clients with ad-hoc data analysis requests and statistical consultingFollowing quality and documentation standards in a GxP environmentSupporting the bioinformatics/statistics team, as well as independent work in diverse and exciting projects Your profile Master’s degree / PhD in bioinformatics, computer science, or equivalent education Experience in analysing multiomics and biomarker data (e.g., NGS data including transcriptomics); gene set analysis and clustering is a plusExperience in setting up / executing bioinformatics pipelines using e.g. Nextflow, containerisation Solid knowledge and understanding of statistical concepts e.g. hypothesis testing, survival analysis, linear models, as well as experience in the application of advanced statistics visualizing, exploring and modeling multivariate data setsVery good programming skills in R / Bioconductor; Shell-scripting and Git is a plusGood overview of state-of-the-art bioinformatics tools and proven record of the ability to collect, combine and analyse complex types of data Fast comprehension, analytical thinking, teamwork and a high degree of initiative, willingness to learnCreativity and joy in solving complex analytical questions and proactive working styleVery good English skills, German is an advantage What we offer youWe value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life. Full remote work from anywhere in Germany for those who do not live in Munich can be discussed. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds. Question?If you have any questions, please feel free to contact us by e-mail . Find more English Speaking Jobs in Germany on Arbeitnow