Bioinformatics Jobs

Job Description:Scientist, Microbiome Data Science & Bioinformatics Summary: The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysisapproaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement. Responsibilities: Lead qualitative and quantitative human microbiomeresearch, includingdata mining, dataanalyses,and interpretation of findingsfromclinical trialsand research studiesthatalign withcompanygoalsCreate, curate and maintain datasets, databases and resources for annotation and use of complex omics dataLead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiativesConceptualize, building, test, and benchmark gold standard and novel bioinformatic methodsUse and improve continuous deployment models, containerization, cloud computing, and agile practicesIndependently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline managementContribute to publications in peer-reviewed journals, as well as any methodological innovationsEffectively present and defend scientific work in the form of internal and external presentationsCritically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisionsContinuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources Requirements: Advanced degree(e.g.MSorPh.D.)in bioinformatics, genomics, biostatistics or relatedbiologicalfieldMinimum of one year of experience in the field of omics sciences, preferably the microbiomeProficiency in developing, deploying, and running cloud-based bioinformatic workflowsProven experience in Linux, AWS, coding in Python and RExcellent writing, communication, and other organizational skills including documentation & data organizationProven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omesLocation:Roseville, Minnesota

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 Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is a vital part of our Bioinformatics team, which is dedicated to pioneering advanced computational solutions that drive innovation in molecular diagnostics. As a member of this team, you will bridge the gap between complex biological data and actionable clinical insights through robust software engineering and database architecture. You will have the unique opportunity to collaborate closely with a multidisciplinary group of wet-lab scientists, software engineers, and clinical researchers to deliver tools that have a global impact on patient care. The Opportunity As a Bioinformatics Scientist, you will lead the design and development of end-to-end computational solutions, from scalable backend database architectures to intuitive frontend interfaces. Your primary accountability is to build and optimize the digital infrastructure that powers our PCR assay development and large-scale genomic analysis. Architect Scalable Data Systems: Design and deploy robust database structures and APIs that ensure efficient processing and retrieval of massive biological datasets. Engineer Advanced Algorithms: Lead the R&D of high-performance algorithms and automated workflows specifically tailored for clinical diagnostic applications. Develop Full-Stack Solutions: Build user-friendly web applications and interactive visualization tools that allow scientists to explore complex "omics" data in real time. Modernize Computational Infrastructure: Leverage High-Performance Computing (HPC) and Linux environments to implement cutting-edge software engineering best practices, including version control and CI/CD. Drive Process Innovation: Research and integrate emerging technologies in computational biology to maintain Roche’s position at the forefront of molecular biotechnology. Translate Science into Software: Convert complex scientific requirements from wet-lab stakeholders into functional, high-quality code and reproducible documentation. Who You Are Educational Background & Experience: You possess 9 years of related experience with a Bachelor's degree; OR 7 years of related experience with a Master's degree: OR 4 years of related experience with a PhD. Work experience can be prior or post grad. Post-grad training in academic labs can be considered with adjustment if in the same line of work. Advanced Technical Polyglot: You are highly proficient in Python and R, with deep expertise in object-oriented programming, Linux systems, and managing high-performance computing environments. Strategic Matrix Collaborator: You excel at working within a matrixed organizational structure, effectively balancing priorities from multiple stakeholders across R&D, IT, and Quality teams. Influential Communicator: You possess a proven ability to translate intricate technical and algorithmic concepts for non-computational audiences, ensuring alignment between diverse scientific disciplines. Full-Stack Visualizer: You have a strong track record of developing frontend applications using modern frameworks (React, Angular, or Vue) to create intuitive interfaces for multidisciplinary project teams. Relocation benefits are not being offered for this position The expected salary range for this position based on the primary location of Pleasanton, CA is $121,400 - $225,400 USD Annual. 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 are A 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. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Department MMGE -COMPUTATIONAL GENOMICS (IN-CGGT-IUINA) Department Information One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has a rich history of training geneticists and genetic counselors and providing genetic consultation and counseling services. Currently ranked 5th in the nation among Genetics Departments for National Institutes of Health (NIH) Funding, received in 2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models, and clinical trials in rare and common genetic diseases. Job Summary The Bioinformatics Analyst supports translational and basic science research by providing expertise in the analysis and interpretation of large-scale biological datasets. The position collaborates closely with faculty and trainees to design experiments, identify appropriate analytical approaches, interpret results, and support grant and manuscript preparation. Department-Specific Responsibilities Processes and analyzes next-generation sequencing (NGS) data, including bulk and single-cell RNA sequencing, DNA sequencing, epigenomics, spatial transcriptomics, metabolomics, and other high-throughput data types Develops, optimizes, and maintains bioinformatics pipelines Performs statistical and computational analyses Integrates multi-omics datasets Generates reports, visualizations, and summaries for investigators Contributes to the development of bioinformatics tools and databases Ensures reproducible research practices, maintains documentation, and provides consultation and training to researchers General Responsibilities Employs a variety of computational sequence analysis (mathematical and computing) tools to model and analyze biological data in support of researchers Accesses, extracts, and prepares data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses Installs, configures, customizes, and supports analytical software for data on research clusters Performs performance and reliability assessments to ensure systems are performing to maximum productivity and scientific validity Documents consultation, analysis, and quality control efforts Researches and stays up-to-date on emerging technologies/tools, trends, standards, and best practices related to bioinformatics Qualifications Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education. EDUCATION Required Bachelor's degree (preferably in computer science, bioinformatics, biology, or a related field) Preferred Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, Biomedical Informatics, or a related field WORK EXPERIENCE Preferred Experience analyzing high-throughput biological data, including next-generation sequencing (NGS) and other omics datasets Experience analyzing transcriptomics, genomics, epigenomics, proteomics, metabolomics, single-cell, or spatial omics data Experience developing and maintaining reproducible bioinformatics pipelines and workflows Experience with bioinformatics tools, databases, and workflow management systems Experience with multi-omics data integration and machine learning approaches Experience supporting grant applications and scientific manuscript preparation Experience working in an academic medical center, research institute, or biotechnology environment SKILLS Required Proficient written and verbal communication skills Maintains a high degree of professionalism Demonstrated time management and priority setting skills Demonstrates a high commitment to quality Possesses flexibility to work in a fast paced, dynamic environment Seeks to acquire knowledge in area of specialty Preferred Strong programming, statistical, and communication skills Proficiency in programming languages such as R, Python, and/or Bash Experience working in Linux/Unix computing environments Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and workflow management systems such as Snakemake or Nextflow Knowledge of statistical methods and data analysis techniques applicable to biological and biomedical research Strong analytical, problem-solving, and organizational skills Excellent written and verbal communication skills, with the ability to present complex analytical results to multidisciplinary research teams Ability to work independently and collaboratively in a fast-paced research environment Demonstrated record of scientific publications, conference presentations, or collaborative research projects Knowledge of data visualization tools and development of interactive web applications for data exploration Working Conditions / Demands This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation. Work Location Indiana University Indianapolis Indianapolis, Indiana This is an in-person position. Advertised Salary $50,648.00 - 53,580.60 per year based on experience and internal equity within the department. Benefits Overview For full-time staff employees, Indiana University offers a wide array of benefits including: Comprehensive medical and dental insurance Health savings account with generous IU contributions Healthcare and dependent care flexible spending accounts Basic group life insurance paid by IU Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death and dismemberment insurance Base retirement plan with generous IU contributions, subject to vesting Voluntary supplemental retirement plan options Tuition subsidy for employees and family members taking IU courses 10 paid holidays plus a paid winter break each year Generous paid time off plans Paid leave for new parents and IU-sponsored volunteer events Employee assistance program (EAP) Learn more about our benefits by reviewing the IU Benefit Programs Brochure. Job Classification Career Level: Core FLSA: Exempt Job Function: Information Technology Job Family: Data Analysis and Engineering Click here to learn more about Indiana University's Job Framework. Posting Disclaimer This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date. If you wish to include a cover letter, you may include it with your resume when uploading attachments. Equal Employment Opportunity Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information. Campus Safety and Security The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online. You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD. Contact Us Request Support Telephone: 812-856-1234

Are you interested in single-cell genomics and functional genomics screens to leverage open science in the fight against dementia? Then we have the job for you! DataTecnica (DT) invites applications for this currently open position at the Center for Alzheimer's and Related Dementias (CARD) at the National Institutes of Health (NIH). We facilitate growth for the research portfolios of numerous global initiatives in the neurodegenerative disease space, with a focus on Alzheimer's and related dementias. This position would support bioinformatics efforts focused on integrating large-scale multi-modal data types in various research applications, namely single-cell and single-nucleus transcriptomics, functional genomics screens (Perturb-seq/CRISPR), and potentially spatial-omics, in disease-relevant human cellular models for neurodegenerative diseases. The main responsibilities for this position include collaborating on the development, implementation, execution and maintenance of common research pipelines for analysis as well as benchmarking plus implementation of existing open science workflows in this space. This includes identifying perturbation signatures and performing differential expression analysis, integrating results across experimental replicates, de-multiplexing pooled and barcoded cultures, and analyzing single cell CRISPR screens in iPSC lines carrying disease-linked mutations. The successful candidate will also be required to generate plots, tables and figures and present analysis updates to colleagues regularly. There are also some opportunities to contribute to larger collaborative creative research projects and publications resulting from these active collaborations. For specific details, please see below. Qualifications: MS or PhD in bioinformatics, computational biology, genomics, molecular biology, neuroscience or similar fieldExperience with bulk and single-cell and/or single-nucleus RNA-seq analysis (e.g., Scanpy, Seurat) including QC, clustering, and annotationExperience with functional genomics screen analysis, ideally Perturb-seq or CRISPR-based screens (perturbation signature identification and differential expression)Familiarity with 10x Genomics platforms and chemistries (3’and FLEX-based gene expression)Experience with de-multiplexing of pooled samples (genetic and/or DNA-barcode based) a strong plusComfortable working with large datasets (thousands to millions of cells and multiple conditions)Familiarity with statistical conventions and data visualization of such datasetsBiology background and interest in or willingness to learn about neurodegenerative disease cell biologyPython and/or R proficiencyFamiliarity with distributed, parallel HPC and/or cloud computing (NIH Biowulf and google cloud ideal)General knowledge of sequencing technologiesAble to troubleshootAble to work independently or with minimum supervisionAbility to work as part of a diverse team of scientists Scope of work: Develop and deploy bulk and single-cell data processing and QC pipelines at scaleBuild and maintain perturbation-signature and differential expression workflows, integrating results across experimental replicatesDe-multiplex pooled, DNA-barcoded cultures and analyze CRISPR-based screens in disease-mutation lines (e.g., iNDI lines carrying AD-associated mutations)Support integration of transcriptomic data with parallel proteomics and imaging data typesManagement and sharing of public datasetsKnowledge transferCollaborate Preferences: Local or willing to immediately relocate to the Washington DC Metro areaExperience with the National Institutes of Health or similar federal research structureAbility to work in person on the Bethesda NIH campus Tuesday through Thursday Additional notes: This position will include opportunities to grow your bioinformatics and data science skills as well as publish high impact research in collaboration with NIH initiatives we support. As this is an NIH contract opportunity, a US work permit, citizenship or green card are required. Hybrid work scenarios with part time on the NIH campus is required (Washington DC metro area), with 3 days needed on NIH campus per week. This position is for long term support of ongoing and growing research portfolios, empowering candidates to grow with the team. Compensation is commensurate with experience, ranging generally from $80k-160k per year. Interested candidates should submit their application, including CV, cover letter, code example (github) and emails of potential references (if available) to info@datatecnica.com. All compensation and benefits are negotiable and in line with current glassdoor estimates, commensurate with experience. Review of applications will begin immediately.

Scientist None Ability to Obtain Public Trust We are looking for a Bioinformatics Scientist (Scientist V) in the IBIS Core to support the Vaccine Research Center (VRC) at NIAID through advanced computational biology and bioinformatics analysis. This position is a full-time position located in Bethesda, MD. Implement and utilize workflows for next generation sequencing (NGS), including quality control (QC) and data analysis.Initiate interdisciplinary collaborations with scientists from other organizations or institutions engaged in related research.Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics applications.Provide programming and troubleshooting support to the Federal Government in the dissemination of research data.Perform computational analysis of research datasets and identify trends and patterns.Collaborate with multidisciplinary teams to design, analyze, manage, and interpret complex biological data.Maintain detailed documentation of analyses and present results at laboratory meetings.Develop novel computational programs and algorithms to facilitate discovery in large and complex datasets.Evaluate and adapt bioinformatics techniques based on scientific literature, available resources, and research objectives.Collaborate with experimentalists and computational scientists to develop new computational tools for scientific discovery.Independently coordinate training of personnel on scientific, statistical, and programmatic software applications.Present research findings at internal meetings, conferences, and seminars; contribute to scientific publications.Attend scientific and programming meetings and maintain organized records of findings and discussions. Master's Degree in Bioinformatics, Computational Biology, or a related discipline.A minimum of TWO (2) years of experience working with large, multimodal single-cell datasets.Proficiency in Python and R programming languages.Practical knowledge of and experience working with SLURM-managed high-performance computing (HPC) clusters.Strong analytical, statistical, and problem-solving skills.Experience with next generation sequencing (NGS) workflows and data analysis.Ability to collaborate effectively in a multidisciplinary research environment.Strong written and verbal communication skills, including presentation of scientific data.Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred. Ph.D. in Bioinformatics, Computational Biology, or a related discipline preferred.Experience with Xenium and/or Visium spatial transcriptomics platforms is preferred.Familiarity with adaptive immune receptor repertoires and general immunology are beneficial. The annual salary range for this position is $65,000.00-$108,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)Position may be eligible for a discretionary variable incentive bonus Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Bioinformatics Postdoctoral Fellow Data Science and Informatics Core for Cancer Research (DSICCR) McWilliams School of Biomedical Informatics University of Texas Health Science Center at Houston Embark on a groundbreaking journey by applying for a postdoctoral position within the Data Science and Informatics Core for Cancer Research (DSICCR: https://sbmi.uth.edu/dsiccr/) at the University of Texas Health Science Center at Houston (UTHealth). We are eager to welcome highly motivated individuals to join the dynamic and innovative research environment in Dr. W. Jim Zheng's group (https://sbmi.uth.edu/faculty-and-staff/jim-zheng.htm) at the McWilliams School of Biomedical Informatics (MSBMI). RESPONSIBILITIES: As a successful candidate, you will apply your chemistry and structure biology skills to play a pivotal role in study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, manuscript writing and proposal development for protein structure prediction projects. Your responsibilities will extend to collaborative research with esteemed faculty at UTHealth and other institutions, fostering a dynamic and interdisciplinary approach to AI and data science. DSICCR is renowned for its productive track record in data science, informatics, and AI (https://sbmi.uth.edu/dsiccr/outcomes). Past postdoctoral fellows have made significant contributions to high-impact publications and played key roles in winning teams in national and international competitions, such as BioCreative and LitCoin NLP Challenge. Notable publications include works in JAMA (Zhu and Zheng, 320(11):1103-1104, 2018), Nature Communications (Yuan, et al., 12, 2031, doi:10.1038/s41467-021-22200-5, 2021), and Nucleic Acid Research (Yang, et al., 53(D1):D331-D339, 2025, PMID: 39530217) As a member of our research community, you will benefit from comprehensive training in AI research and gain hands-on experience with DSICCR's advanced computing infrastructure (https://sbmi.uth.edu/dsiccr/resources). This includes access to a Hadoop cluster, a large memory server, several state-of-the-art Nvidia GPU servers (including the world's first Nvidia DGX H100 server), and High-Performance Computing (HPC) clusters at the Texas Advanced Computing Center. Located in the heart of the Texas Medical Center in Houston, the fourth largest city in the United States, UTHealth offers a cosmopolitan setting for your academic and professional growth. Join us in our commitment to advancing the frontier of AI and data science applied to basic research and clinical practice. We look forward to welcoming an enthusiastic and dedicated postdoctoral fellow to contribute to our collaborative and innovative research environment. APPOINTMENTS/BENEFITS: This is a full-time, 12-month appointment, renewable annually with comprehensive benefits. Anticipated postdoctoral training duration is 2-3 years with multiple fellowship support opportunities. QUALIFICATIONS: The energetic and proactive individual should have a strong background and formal training in chemistry, structural biology, and small-molecule drug screening and development. Essential qualifications include solid experience in protein structure and related data analysis, with a proven record of published research. Hands-on experience with experimental structural methods such as cryo-EM, X-ray crystallography, or NMR along with the detailed understanding of protein secondary and tertiary structure behavior that comes from working in such an environment is strongly preferred. Programming skills and additional expertise in bioinformatics and quantitative and analytical science are a plus. Excellent teamwork, communication skills, and the ability to develop and maintain high-quality collaborations are required. HOW TO APPLY: Note that all application materials must be submitted to https://careers.uth.tmc.edu/us/en/job/260001GW.The candidate should provide a current curriculum vitae and a cover letter describing qualifications and career goals as part of the application process. SALARY: Comply with NIH postdoc salary standards based on the qualifications and experience. Equal Opportunity Employer/Disability/Veteran

Job Description Pay Range: $95,000.00 - $125,000.00 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: · Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours · Best-in-class well-being programs · Annual, no-cost health assessment program Blueprint for Wellness® · healthyMINDS mental health program · Vacation and Health/Flex Time · 6 Holidays plus 1 'MyDay' off · FinFit financial coaching and services · 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service · Employee stock purchase plan · Life and disability insurance, plus buy-up option · Flexible Spending Accounts · Annual incentive plans · Matching gifts program · Education assistance through MyQuest for Education · Career advancement opportunities · and so much more! About Haystack Oncology Haystack Oncology, now part of Quest Diagnostics, is a next-generation liquid biopsy company focused on advancing tumor-informed minimal residual disease (MRD) testing. Our proprietary technology enables highly sensitive and specific detection of circulating tumor DNA (ctDNA), improving patient outcomes through earlier detection of residual disease. As we continue to expand our assay portfolio and bring cutting-edge diagnostics to the public, we are seeking a skilled Bioinformatics Scientist to join our growing team. This role will play a critical part in supporting clinical production testing, clinical trials, and assay R&D for Quest Diagnostics laboratories in the US and Europe. Role Overview As a Bioinformatics Scientist, you will develop and maintain cloud-based computational infrastructure for the analysis of genomic data from our proprietary MRD assays. You will work cross-functionally with laboratory, LIMS, and IT teams to ensure seamless integration of bioinformatics workflows with clinical and research operations. Responsibilities: Develop & maintain cloud infrastructure for scalable and efficient genomic data analysis. Implement and optimize Python and Nextflow bioinformatics workflows. Integrate bioinformatics pipelines with Laboratory Information Management Systems (LIMS) to streamline data processing. Ensure compliance with IT security and privacy controls, aligning with Quest Diagnostics’ corporate policies. Apply software engineering best practices, contributing to the scalability, robustness, and maintainability of bioinformatics pipelines. Develop and manage databases and applications for quality control (QC) and assay performance monitoring. Document and validate bioinformatics systems in compliance with regulatory and quality standards for clinical diagnostics Qualifications: Required: Background in software or infrastructure engineering, with experience in bioinformatics. Proficiency in bioinformatics pipeline workflow management, particularly Nextflow (preferred), Cromwell, or CWL. Hands-on experience developing cloud-native infrastructure (AWS preferred) for storage, batch computing, and serverless applications. Expertise in infrastructure as code (IaC) technologies such as Terraform or AWS CDK. Strong programming skills in Python, JavaScript/TypeScript, R, or other relevant scripting languages. Experience with API development and integration, particularly JSON-based RESTful APIs. Deep understanding of version control (Git), CI/CD best practices, and software development lifecycle (SDLC). Ability to work cross-functionally in a multi-disciplinary environment with minimal supervision. Strong problem-solving, analytical, and troubleshooting skills, with the ability to diagnose and resolve technical issues. Excellent verbal and written communication skills in English, with the ability to translate technical concepts for non-technical stakeholders. Preferred: Experience in a clinical diagnostics or regulated environment (e.g., CLIA, CAP, IVDR, FDA) with knowledge of software validation and regulatory requirements. Understanding of controlled processes, environment management, and quality control systems in a clinical setting. Familiarity with DevOps methodologies. Education: Bachelor's Degree (Required) Master's Degree (Preferred 63744 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 ready to harness multi-omics, comparative genomics, and agentic AI to accelerate vaccines and immune therapies from discovery to the clinic? In this role, you will transform complex human and pathogen datasets into clear, decision-driving insights that shape antigen design, patient stratification, and translational strategy across high-priority programs. Based in Cambridge, MA you will work in a collaborative, multidisciplinary environment alongside immunologists, molecular biologists, and data scientists. If you thrive at the intersection of computation and experiment—designing reproducible pipelines on HPC and cloud platforms while partnering closely with the lab to iterate rapidly—this role offers the opportunity to influence study design, guide go/no-go decisions, and help advance novel immune-based therapies toward patients. Accountabilities You will design, implement, and deliver robust analyses across genomics, bulk and single-cell transcriptomics, and multi-omics to answer program-critical questions with statistical rigor. You will assemble genomes, call variants, and perform comparative genomics and phylogenetic analyses on bacterial and viral pathogens to inform antigen selection and surveillance strategy.You will apply machine learning and statistical modeling to discover biomarkers, stratify patients, predict antigen immunogenicity, and forecast treatment response, translating model outputs into actionable program recommendations. You will also build, optimize, and maintain reproducible workflows using HPC schedulers and AWS to scale analyses, reduce turnaround time, and ensure traceability. In addition, you will design and integrate LLM-powered agentic workflows for literature mining, data extraction, and pipeline orchestration to accelerate discovery and improve developer productivity. Working closely with experimental scientists, you will propose computationally informed experiments, interpret results, and refine study designs to improve confidence and reduce cycle time. You will generate translational insights through differential expression, pathway enrichment, and functional annotation, connecting molecular signals to biological mechanisms and clinical hypotheses. You will produce publication-quality visualizations and reports, present findings clearly to cross-functional stakeholders, and champion version control, workflow managers, and reproducible research practices to strengthen code quality and method sharing across programs. Finally, you will stay current with emerging tools in bioinformatics, AI/ML, and agentic AI, piloting new approaches, sharing learnings, and scaling successful methods across the portfolio. Essential Skills and Experience You should have a PhD in Bioinformatics, Computational Biology, Genomics, Molecular Biology, Computer Science, or a closely related quantitative discipline, with 2–5 years of industry experience.Alternatively, you may have an MS in a relevant discipline with 4–6 years of industry experience in bioinformatics, computational biology, or genomics.A demonstrated track record of independent research through publications, conference presentations, or successful project delivery is expected.You should bring proficiency in R and/or Python for genomic data analysis, statistical computing, and data visualization, including tools such as ggplot2, Bioconductor, tidyverse, pandas, and scikit-learn.Hands-on experience with NGS data analysis is required, including alignment tools such as STAR, BWA, and Bowtie2; quantification tools such as Salmon, featureCounts, and HTSeq; and variant calling tools such as GATK and bcftools.You should be familiar with RNA-seq analysis workflows, including differential expression methods such as DESeq2, edgeR, and limma, as well as pathway analysis and gene set enrichment approaches such as ssGSEA and MSigDB. Experience working in Linux/Unix environments and with HPC job schedulers such as SLURM, SGE, or PBS, and/or cloud computing platforms such as AWS or GCP, is important. You should also have working knowledge of Git/GitHub and reproducible research practices, including Nextflow or similar workflow managers. A solid understanding of molecular biology fundamentals, genome annotation, and public bioinformatics databases such as NCBI, Ensembl, UniProt, and PDB is required, along with foundational knowledge of machine learning concepts and applied statistics relevant to biomarker discovery and genomic data. Success in this role will also require strong analytical thinking, creative problem-solving, and the ability to translate complex datasets into actionable biological insights. You should have excellent written and verbal communication skills, a collaborative mindset, intellectual curiosity, and the ability to manage multiple priorities and deliver results within timelines. Desirable Skills and Experience Experience in at least one therapeutic area—infectious diseases, oncology, or inflammatory disease—would be valuable. We also welcome experience with comparative genomics and microbial or viral genome analysis, including pangenome methods, AMR gene detection, and phylogenetics. Additional desirable experience includes building predictive and prognostic models using supervised and unsupervised machine learning methods on clinical or preclinical omics data; familiarity with deep learning frameworks such as PyTorch and TensorFlow; and exposure to biological foundation models such as ESM, EvolutionaryScale, scGPT, TranscriptFormer, and Evo. We also value experience with or strong interest in agentic AI workflows for bioinformatics, including LLM-orchestrated pipelines, retrieval-augmented generation (RAG) for scientific literature, and tool-using AI agents that interact with databases and analysis tools. Proficiency with AI-assisted coding tools such as Claude Code or GitHub Copilot is a plus. Exposure to single-cell RNA-seq tools such as Seurat, Scanpy, and CellRanger; knowledge of structural biology tools, protein modeling, or antigen/antibody design; and experience with containerization and infrastructure-as-code would also be beneficial. Familiarity with LLM APIs and prompt engineering for scientific applications, including structured output generation and multi-agent system design, is also desirable. Why AstraZeneca At AstraZeneca, ambitious science meets everyday collaboration. Here, bioinformaticians, immunologists, clinicians, and engineers come together to share knowledge openly, challenge ideas constructively, and learn from setbacks as they work toward better solutions. You will contribute across diverse therapy areas, with visibility into decisions that matter and support from leaders who encourage experimentation and innovation. We pair rigorous scientific standards with creativity and value kindness alongside ambition. Most importantly, we connect each individual’s contribution to a clear purpose: translating insights into medicines that can change patients’ lives. If you are ready to turn data, models, and modern AI into faster, smarter decisions for patients, we encourage you to apply and show us how you can make an impact from day one. The annual base pay for this position ranges from $115,992.00 - $172,671.60. 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 14-Jul-2026 Closing Date 24-Jul-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.

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. Location This is a fully onsite role based at our Pleasanton, CA office. Relocation assistance is not provided for this position. How will you make an impact? You will be part of the fast-paced and multi-disciplinary Microarray Research Services Laboratory (MRSL) group. We process many customer samples primarily using genotyping technology and are committed to providing the highest data quality and the best customer experience. By bringing your organizational, analytical and communication skills, you will help drive important research with real-world impact. You will be responsible for project management, data analysis, documentation, and deliverable preparation for the scientific services team’s customers for applications such as whole genome and/or targeting genotyping. A Day in the Life Collaborate with internal teams to coordinate smooth project progression and meet data delivery deadlinesRespond to customer inquiries and proactively communicate project status to customers and sales teamLearn and adapt to new tools and platforms and help troubleshoot issues on these systemsTroubleshoot data quality concerns quickly and effectively to minimize impact on delivery timelines and costsCommunicate effectively with all stakeholders Keys to Success Education B.S. in Computer Science or Bioinformatics or related field with 2+ years of experience Experience Proficiency with Linux/Unix environment including shell scriptingKnowledge of genomics technology is a plus, especially microarrayExperience with R is a plusExperience with databases (especially PostgreSQL)- writing & optimizing queries, functions, views, triggers is a plus Knowledge, Skills & Abilities Excellent cross-discipline communication and writing skillsProject management skills strongly preferredStrong organizational skillsData Visualization, interpretation of resultsKnowledge of genomics technology is a plus, especially microarrayFamiliarity with GIT and code usage best practices preferred Behavioral Competencies Identify gaps and help develop plans to mitigate themA strongly pro-active, helpful, ‘can-do’ attitudeTakes initiative and takes ownership of assigned tasksHigh accountability: proven track record of following through on commitmentsSelf-managing and self-motivating, able to prioritize tasks and meet timelines and expectations Other Must be legally authorized to work in the United States without sponsorship now or in the future. Must be able to pass a comprehensive background check and drug screen. Compensation and Benefits The salary range estimated for this position based in California is $82,800.00–$95,000.00. 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

We’re Exai Bio. Our mission is to deliver the earliest and most accurate diagnosis of cancer. We aspire to enable a world where cancer can be detected early, diagnosed accurately, treated in a personalized and efficacious way, and ultimately cured. We are a lean, R&D-stage startup developing next-generation, AI-powered cancer detection assays. Our platform integrates proprietary deep learning AI modeling with unique, large-scale cell-free DNA and RNA datasets to enable earlier, more accurate cancer detection. We operate with a "small team, broad impact" philosophy: each team member is entrusted with system-level ownership and decision-making responsibility. And we’re expanding our Computational team. Our core work spans three domains: Machine Learning, Bioinformatics and Software Engineering. We are seeking highly motivated, versatile professionals with demonstrated expertise in bioinformatics and computational biology, and the capacity to grow rapidly to become key contributors in the complementary areas. How We Work We believe a small team can operate with speed, precision and efficiency by leveraging modern productivity tools. We expect you to: Broaden Your Knowledge Base – Rapidly learn new biological concepts, technologies, and computational approaches outside your primary area of expertise.Leverage Modern AI Tools – Utilize AI-assisted development tools to accelerate implementation while maintaining scientific rigor and technical excellence.Think Critically – Serve as the final scientific reviewer of analyses, algorithms, and AI-generated outputs to ensure accuracy and reliability.Take Ownership – Drive projects independently while collaborating effectively across disciplines. What You Will Do We are seeking a bioinformatics scientist who combines strong scientific rigor with practical software engineering skills and thrives in a fast-paced startup environment where innovation, ownership, and cross-functional collaboration are essential. The main responsibilities include: Analyze large-scale multi-omics datasets, including cell-free RNA, DNA, and associated clinical data. Perform exploratory analyses, hypothesis generation, feature engineering, quality control and biomarker discovery.Design, validate, and optimize bioinformatics algorithms and statistical methods to address challenges in cancer detection and disease monitoring.Develop and maintain robust, reproducible, and scalable computational tools and workflows for research, translational, and validation studies.Apply software engineering best practices including version control, testing, code review, documentation, and CI/CD principles.Improve infrastructure supporting experiment tracking, data management, reproducibility, and quality assurance.Evaluate emerging technologies, methodologies, and data sources to improve platform performance and scientific capabilities. Importantly, the ideal candidate will play a key role in product development and validation, regulatory support and external collaboration programs: Contribute to study design, experimental planning and statistical analysis strategies.Support documentation, traceability, verification and validation activities required for regulated research and diagnostic environments.Work with academic, clinical, and industry partners on joint R&D initiatives, ensuring high-quality analyses and timely delivery of results.Translate biological insights into actionable computational strategies and communicate findings to scientific, clinical and business stakeholders. Who You Are Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genomics, or a related quantitative field.4+ years of relevant industry and/or academic experience in bioinformatics or computational biology.Strong background in statistical analysis, algorithm development, and biological data interpretation.Demonstrated experience analyzing multiomics data and working with common genomic data formats (FASTQ, BAM, BED, VCF).Proficiency in Python and hands-on experience with scientific computing libraries and data analysis frameworks.Experience developing reproducible computational pipelines and workflows.Strong understanding of software engineering best practices, including Git, testing, code review, documentation, and CI/CD. Level Expectations Member - Leads projects of moderate scope within a team; supports cross-functional work through collaboration. Salary range: $125,000-$155,000.Senior Member - Leads complex projects across teams; uses broad business knowledge to drive outcomes beyond immediate function. Salary range: $150,000-$187,000. What You'll Get as Part of Our Team Some highlights from our suite of comprehensive employee benefits: Medical/dental/vision insurance with generous premium coverage for employees and dependents, and employer contributions toward HSA accounts Accrued vacation time and sick days starting at 24 days a yearHybrid team structure with remote work flexibilityNew hire stock option grants401(k) with company match What We Value Our core values represent what we stand for as a team. Everyday, we strive to align our behaviors to these core values in everything we do. We believe that our commitment to our core values connects us to our work and to one another. Integrity – Our thoughts and actions are true to science and people. We do the right thing. Openness – We recognize and respect our differences – and embrace learning from them. Teamwork – We are team players who trust and respect each other. Exploration – We are explorers, putting curiosity into action. Kindness – We are kind whenever possible – and we believe it’s always possible. More About Us We are an early-stage diagnostic company with a powerful oncRNA and AI-based liquid biopsy platform. Our proprietary technology delivers unprecedented insight into cancer and disease biology from standard, non-invasive blood samples. We are the next generation of liquid biopsy! We value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. We do not accept unsolicited resumes from agencies or other third parties and will not pay fees associated with such resumes. Agencies, please do not send resumes to any of our locations, employees or email addresses.