Bioinformatics Jobs

Job Summary: Zymo Research is seeking a highly motivated Research Intern to join our dynamic Microbiomics team. This is an exciting opportunity for someone interested in exploring cutting-edge technologies and applications in the fields of microbiome Next Generation Sequencing and research. As a Bioinformatics Intern, you will be mentored by industry veterans from our Microbiomics R&D group. The qualified individual will be responsible for initiating and completing assigned tasks throughout the duration of the internship. In this role, you will work collaboratively with other team members to design and execute infrastructures for a developing bioinformatics product. The ideal candidate should be flexible, an effective team player, and possess a strong interest in learning about bioinformatic applications for microbiomics and next generation sequencing. The successful candidate should also have some experience in microbiology and fundamental molecular biology laboratory processes. If you are passionate about helping people in advancing science and working with awesome teams in a fast-growing company, we want you! This position is a full-time Internship and is based in Irvine, CA. Essential Duties and Responsibilities • Assist with the curation of human microbiome data studies by finding, organizing, and independently processing them through a standardized workflow. • Work collaboratively in a team-based environment to provide feedback and recommendations for project advancement. • Assist with creating visual representations and user stories for platform features. • Review, summarize, and apply relevant literature to project goals as needed. • Aid in the writing and summarization process of project goals to outside parties. Education and Experience: • Working towards, or having completed, a BS or MS in Biology, Microbiology, Biochemistry, Genetics, or related field with an interest in Bioinformatics. Preferably junior or senior standing at an accredited university, with some bioinformatics application experience. Recent graduates are also encouraged to apply. • Basic understanding of microbiome research processes and the application of Next Generation Sequencing fundamentals. • Knowledge of Microsoft Office products. About Us: Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high-quality research tools and products. Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy remains the same: To provide the highest quality products in the industry while ensuring they are both simple to use and reliable in their performance. Recognized as a Top Workplace by the Orange County Register in 2021, 2022, and named a Top Workplace USA in 2023, Zymo Research continues to be a vibrant community where employees thrive, feel connected, and are inspired by their work. If you are passionate about contributing to scientific advancement and want to be part of an exceptional team in a dynamic, growing company, we'd love to hear from you! Compensation: The estimated base compensation range for this position is $20/hour at the time of posting. Actual compensation details will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. Equal Employment Opportunity Employer: Zymo Research welcomes candidates of all backgrounds. These include sex, age, color, race, religion, marital status, national origin, ancestry, sexual orientation, gender, gender identity, gender expression, physical & mental disability, medical condition, genetic information, military and veteran status, or any other protected status as defined by federal, state, or local law. Location: Onsite – Zymo Research HQ, 17062 Murphy Ave. Irvine, CA 92614 Apply Now

About Us Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform. Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike. Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company. Summary of Position The Director of Bioinformatics leads a team of experts in bioinformatics and biostatistics in the planning, designing, and implementing bioinformatics infrastructure to address clinical diagnostics production, R&D, and client needs. The Director formulates strategic plans for bioinformatics solutions, working closely with other team leads and executive leadership. The Director serves as the expert and champion of bioinformatics, strongly emphasizing innovation and development of best-in-class bioinformatics solutions. Key Job Elements • Direct the planning, designing, development, implementation, and maintenance of the bioinformatics infrastructure, including data, hardware and software components, and system integration. • Oversee bioinformatics production, R&D, and client service efforts. • Provide the organization with short-term and long-term bioinformatics strategic plans to meet business objectives. • Direct a team of bioinformatics scientists in developing bioinformatics infrastructure, R&D, and client service. • Develop and deploy novel bioinformatics analyses and tools. • Monitor, review, and utilize emerging technologies. • Serve as bioinformatics subject matter expert to cross-functional teams. • Direct resolution of bioinformatics production issues. • Review and provide feedback on design, validation, testing methodology, documentation, and reports • Provide advice, guidance, and mentoring to bioinformatics staff. • Build and manage a staff of bioinformatics professionals. Knowledge/Experience • Master’s or Ph.D. in Bioinformatics, Computer Science, or related field. • 7-10 years of experience in related Bioinformatics. • Extensive hands-on and in-depth experience with next-generation sequencing (NGS) analysis, NGS databases and tools, and NGS pipeline development. • Extensive experience analyzing multiple types of NGS data and facility with statistics for big data analysis and multi-omics data integration. • Extensive experience in designing, developing, implementing, and managing NGS analysis pipelines and workflows. • Experience leading bioinformatics development teams. • Strong hands-on skills in relevant programming languages. • Must enjoy working in a multi-disciplinary and collaborative environment and leading and mentoring a bioinformatics team. • Excellent oral and written skills, including the ability to communicate openly, transparently, in a timely, and consistent manner. Supervisory Responsibilities • Yes Reports To • Chief Operating Officer Environment Fulgent Therapeutics LLC is an Equal Employment Opportunity Employer. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term “qualified individual with a disability” means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position. For California residents, please see the link below to access our CCPA Privacy Notice. CCPA Privacy Notice for California Residents https://tinyurl.com/FulgentCCPA Agency Solicitations Please note that Fulgent (and its affiliated companies, including Inform Diagnostics and CSI Laboratories) does not accept unsolicited information and/or resumes from search firms or agencies for our job postings. Search firms or agencies without an applicable contract and/or express approval to recruit for the role in question — that choose to submit a resume or client information to our career page or to any employee of Fulgent — will not be eligible for payment of any fee(s), and any associated shared data will become the property of Fulgent.

BillionToOne is a next-generation molecular diagnostics company dedicated to developing powerful and accurate diagnostic tests that are accessible to all. Our innovative QCT molecular counting technology significantly enhances the resolution of disease detection using cell-free DNA by over a thousandfold. This groundbreaking technology is integral to our product offerings, including one of our flagship products, Unity Complete™, the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Leveraging the same molecular counting technology, we've expanded our impact into oncology in 2023 with a pioneering liquid biopsy test, Northstar, that combines treatment selection with monitoring. To date, over 500,000 patients have benefited from our innovative and precise diagnostic tests, and our Annual Recurring Revenue (ARR) has grown from $0 to $125 million in the last ~4 years. BillionToOne has successfully raised close to $400 million in funding, with a notable $130 million Series D round completed in June 2024, resulting in a company valuation of over $1 billion. This funding has come from prestigious global institutional investors, including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. BillionToOne has recently been recognized by Forbes as one of America's Best Startup Employers for 2024, highlighting the company's exceptional work environment and commitment to innovation. Our team has grown significantly and despite substantial growth, we have successfully maintained the unique culture that has defined BillionToOne from inception, continuing to cultivate a team that is not only diverse and passionate but also innovative. Headquartered in Menlo Park, California, with an additional facility in Union City, California, BillionToOne remains at the forefront of significant advances in molecular diagnostics, evidenced by the recent announcement of clinical outcomes data for its Unity Fetal Risk Screen and new advancements in cancer diagnostics. For more detailed information about BillionToOne and its groundbreaking work, please visit our website at www.billiontoone.com. We are looking for a Bioinformatics Associate, Prenatal to join our Clinical Operations team to create computational tools to analyze groundbreaking molecule diagnostics. This person will be responsible for developing bioinformatics pipelines and analyzing next-generation DNA sequencing data under the guidance of bioinformatics scientists. This is a dynamic, start-up environment that requires adaptability and the ability to quickly learn and apply new concepts. The Bioinformatics Associate role is a full-time onsite position in Menlo Park, CA. Responsibilities: • Develop sophisticated and robust next-generation sequencing analysis pipelines under the guidance of a senior scientist • Perform analysis of clinical bioinformatics data • Assemble and analyze quality metrics from the clinical laboratory • Maintain analysis pipeline and operational tools using DevOps practices • Collaborate with scientists and support new scientific insights Requirements: • BS or MS in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field • 1-2 years of biology research experience (either during BS/MS or afterwards) • Strong programming skills in Python, R or a similar language, especially with application to complex data processing and transformation • Strong communication skills and ability to collaborate with interdisciplinary teams • Coursework or experience with molecular biology laboratory techniques and human genetics • High mathematical and statistical aptitude • Great attention to detail Nice-To-Haves: • Software Engineering experience, particularly with DevOps best practices • Experience with clinical laboratory operations • 1-2 years of research experience • Molecular biology (DNA purification, PCR, electrophoresis) or next-generation DNA sequencing laboratory experience Benefits And Perks: • Working with a team of ‘rockstars’ who bring out the best in everyone • Open, transparent culture that includes weekly Town Hall meetings • The ability to indirectly or directly change the lives of hundreds of thousands patients • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80% • Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%) • Retirement savings program including a 4% Company match • Free daily on-site lunches provided from top eateries • Latest and greatest hardware (laptop, lab equipment, facilities) • A variety of perks on campus (state of the art gym, restaurant) • Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.). For this position, we offer a total compensation package of $98,010 per year, including a base pay range of $71,400-$81,600 per year. BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information about how we protect your information, we encourage you to review our Privacy Policy.

Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (http://med.stanford.edu/curtislab.html), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine’s Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution. The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. • - Other duties may also be assigned DESIRED QUALIFICATIONS: • Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience • Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data • Experience working within a UNIX/Linux environment • Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL • Excellent communication and team skills and fluency in both spoken and written English • Familiarity with machine learning, information theory and signal processing. • Experience with algorithm development • Familiarity with basic molecular biology • Background in cancer biology EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Eli Lilly and Company is committed to developing medicines and identify novel targets to improve outcomes for patients. Lilly has invested in autoimmunity and immunology research and development. We have a robust pipeline covering novel targets and mechanisms, mid- and late-stage potential treatments and approved medicines for a variety of autoimmune indications. These new therapies align with our corporate strategy to commercialize first-in-class and best-in-class treatments to address unmet medical needs. In support of these goals, bioinformatics scientists deliver biologically, and clinically testable hypotheses based on systematic analyses of proprietary and public clinical and pre-clinical data. This is achieved through a) deep knowhow of specialized biological databases, b) expertise in developing and applying genetics and ‘omics data from multiple platforms, and c) application of integrative analysis approaches. The overarching objective is to improve knowledge around the targets, pathways, and molecular basis/heterogeneity of disease so that we can design better potential medicines and identify patients that are more likely to respond to particular treatments. The bioinformatics scientist operates in a dynamic and cross functional environment, working closely with discovery scientists, clinical researchers, computational scientists and statisticians to enable research related to drug discovery and identification of biomarker with a specific focus on autoimmune diseases. All informatics work is done in a “reproducible research” environment. The candidate will be expected to share best practices with others and also be willing to adopt new methods. This entails using molecular profiles and multiple internal and external biomedical databases to help understand disease heterogeneity and then to leverage it to enable research related to drug discovery and helping define relevant patient populations. Key responsibilities • Collaborate with discovery biologists, clinical researchers/physicians, and statisticians to enable various aspects of drug/biomarker discovery or development in support of the autoimmune portfolio deliverables, beginning from novel target discovery, all phases of clinical trials, to post launch. • Propose, conduct analysis, and provide interpretation in support of key project aims. • Present results and provide scientific reports as needed or requested by the project teams as a component of project reviews, milestones or governance in a manner fit for cross-functional team consumption. • Use internal and external data sources such as but not limited to genome variation, genotype-phenotype association, molecularly characterized disease state databases, etc., to routinely deliver assimilated information and insights relating to target of interest or pathway of interest, appropriateness of pre-clinical models, mechanistic understanding in perturbation studies, biomarkers supporting pharmacodynamics or efficacy and hypothesis relating to patient stratification. • Participate in the evaluation and identification of new vendors, services, platforms in genomics arena for eventual application for scientific investigations such as (but not limited to) disease characterization or diagnostic applications. • Leverage internal expertise in informatics from other therapeutic areas, advanced analytics and statistics. • Collaborate closely with others around data analysis methods and application. • Represent Immunology in external collaborations with both academic centers and commercial companies. • Provide analysis or related support as needed in context of such collaborations. • Facilitate bringing in data/knowhow or learning into the broader organization. • Contribute to external scientific community through presentations and participation in appropriate scientific conferences and journal publications. Requirements • PhD degree or equivalent in medicine, biology, computational or statistical sciences with at least 5 years of relevant bioinformatics experience in the pharmaceutical field. • Experience with Single Cell Sequencing • Experience with Genetics or Genetics background Additional Skills / Preferences • Statistics experience is preferred. • Experience working with Clinical Trials • Highly familiar with biological research related to one or more disease and related areas in autoimmune disorders and the desire to continue learning. • Ability to interpret and effectively communicate the findings of omics level data with collaborators that are meaningful to the team. • Hands-on experience of quality control and analyzing data generated using many of the following a) genetic analysis, b) single cell approaches, c) spatial omics, d) proteomics and, e) methylation, with emphasis on biological interpretation. Familiarity with multiple genomics platforms from vendors such as 10x Genomics, Illumina, etc. around applications such as WGS, RNA-Seq and ChIP-Seq, DNA Methylation and Genotyping. • Experience in applying computational systems biology or integrative analysis approaches to facilitate interpretation and hypothesis generation from results of genetics, genomics, proteomics and epigenetics studies, preferably in a cross functional setting. Ability to rapidly prototype novel methods for suitable scientific problems. • Experience in novel target discovery and validation, biomarker discovery, mechanisms of action of drugs candidates, and correlating genomic/genetics data with clinical and biochemical phenotypes. Proven ability to provide testable hypotheses to project teams based on systematic analysis of data from pre-clinical and clinical samples. • Expertise in a range of biological databases and use for translational or basic research. Experience with publicly and commercially available bioinformatics pathway/network analysis tools, genomics and genetics databases. Good bioinformatics programming skills in scripting or programming languages and related bioinformatics packages. Experience working in a high-performance unix cluster, Nextflow, and a cloud-based environment. • Demonstrated ability to develop and use the tools in the “reproducible research” environment using Rmarkdown, R, dplyr, jupyter, and python. Strong coding skills are a key requirement in this position as all analysis is done in this environment. Expertise in collaborative software developments such at Github. • Previous wet lab experience. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $184,500 - $321,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Product Specialist Bioinformatics 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. Location/Division Specific Information Product Specialist Bioinformatics, Clinical Sequencing Division Onsite role Discover Impactful Work This Bioinformatics Product Specialist role provides an outstanding opportunity for a Bioinformatician with a curiosity about working in product support at a global level to deliver outstanding data analysis support for next-generation sequencing platforms. This role is uniquely positioned within the product management team and provides insight to the product roadmap. In this role, you will work as a vital link between customers, field support teams, software product managers and internal bioinformatics development teams to resolve issues related to the usage of software products and interpretation of results. If you have experience of working in the biotechnology industry in a technical or customer support role or have meaningful experience in academia, this is an excellent opportunity to build on your current abilities and learn about how genomics labs across the world analyze next-generation sequencing data. A Day in the life • Work with our global field support colleagues to help our customers with their software and bioinformatics challenges, with an emphasis on gene panel sequencing. This may include troubleshooting, problem-solving, customizing analysis pipelines to resolve issues and present data in the best light • Act as a link between the field teams and internal development teams to identify and resolve advanced customer cases • Capture feedback from customers to help the product management team prioritize requirements for future hardware and software development • Build training materials and run training sessions for our field teams. • Develop a deep understanding of our software analysis pipelines, algorithms and system set up • Participate in reviewing pre-release software Keys to Success Education • BS required in bioinformatics, molecular biology, biochemistry, computer science or equivalent, Masters or PhD (preferred) Experience • Minimum 3 years of confirmed experience in bioinformatics and data analysis. Practical experience with open-source bioinformatics tools and wide knowledge of genomics applications are especially useful • Previous experience in data analysis of next-generation sequencing data is required Knowledge, Skills and Abilities • Ability to present bioinformatics issues and solutions to audiences with varying levels of experience is critical. • Previous experience working with clinical NGS lab customers would be a distinct advantage. • Previous experience using Linux and writing scripts or other code would be an advantage • Looking for a self-starter who is comfortable working in a fast-paced interdisciplinary team Compensation and Benefits The salary range estimated for this position based in California is $100,000.00–$133,000.00. 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

Bioinformatics, Analyst II - ITEB, CGR Job ID: req4277 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION We are seeking a skilled and motivated bioinformatics professional to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD. CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG)—the world’s leading cancer epidemiology research group. Our scientific team leverages cutting-edge technologies to investigate genetic, epigenetic, transcriptomic, proteomic, and molecular factors that drive cancer susceptibility and outcomes. We are deeply committed to the mission of discovering the causes of cancer and advancing new prevention strategies through our contributions to DCEG’s pioneering research. Our team of CGR bioinformaticians supports DCEG’s multidisciplinary family- and population-based studies by working closely with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program. We provide end-to-end bioinformatics support for genome-wide association studies (GWAS), methylation, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms. This includes the analysis of germline and somatic variants, structural variations, copy number variations, gene and isoform expression, base modifications, viral and bacterial genomics, and more. Additionally, we advance cancer research by integrating latest technologies such as single cell, multiomics, spatial transcriptomics, and proteomics, in collaboration with the Functional and Molecular and Digital Pathology Laboratory groups within CGR. We extensively analyze large population databases such as All of Us, UK BioBank, gnomAD and 1000 genomes to inform and validate GWAS signals, study the association between genetic variation and gene expression and develop polygenic risk scores across multiple populations. Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI models. We prioritize reproducibility through the use of containerization, workflow management tools, thorough benchmarking, and detailed workflow documentation. Our infrastructure and data management team works closely with researchers and bioinformaticians to maintain and optimize a high-performance computing (HPC) cluster, provision cloud environments, and curate and share large datasets. The successful incumbent will provide dedicated analytical support to the Integrative Tumor Epidemiology Branch (ITEB) and contribute to the areas of metagenomics, spatial omics and somatic variant analysis in lung cancer research. The selected individual is expected to develop and apply computational tools to analyze complex microbial communities from environmental, clinical, or industrial samples, analysis of spatial transcriptomics and proteomics data to understand lung tissue microenvironment and cellular signatures, as well as detect and interpret somatic mutations in lung cancer. The bioinformatics analyst will work closely with DCEG investigators and CGR bioinformaticians and scientists with a high degree of independence. This role involves working with large-scale sequencing data, developing pipelines, and collaborating with interdisciplinary teams to derive biological insights, requiring the candidate to: KEY ROLES/RESPONSIBILITIES • Develop, implement, and optimize bioinformatics pipelines for metagenomic sequencing data analysis (e.g., taxonomic classification, functional annotation, and comparative genomics). • Analyze high-throughput sequencing data from lung whole-genome sequencing (WGS), bulk RNA sequencing (RNA-seq), and 16S amplicon sequencing. • Develop and maintain computational workflows for metagenomic analysis using tools such as Kraken2, Bracken, MetaPhlAn, and HUMAnN. • Perform quality control and model batch effects in lung metagenomics data. • Perform functional and taxonomic profiling of microbial communities to identify key patterns. • Use statistical approaches to interpret lung metagenomics data and associate with clinical and multi-omics data. • Develop robust pipeline for somatic variant analysis of WGS from lung cancer using tools like GATK, Mutect, Strelka. • Perform copy number and structural variant analysis in lung cancer samples. • Work with a multi-disciplinary team towards the development and analysis of reproducible, standardized workflows, in single-cell and spatial omics, by thoroughly researching the latest publications, developments and combining them with strong programming skills. • Review, QC, and integrate single-cell and spatial datasets and perform downstream statistical analysis using phenotypic and clinical metadata. • Maintain and document bioinformatics software and scripts for reproducibility and scalability. • Present research findings in publications, reports, and scientific conferences. • Lead instructional classes on bioinformatic approaches for somatic analysis of cancer. • Develop interactive web-based instructional materials, using tools such as GitHub Pages. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a bachelor’s or master’s degree from an accredited college/university in genetics, genomics, bioinformatics, biostatistics, computer science, computational biology or another related field, according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S equivalency. • In addition to the education requirement, a minimum of two (2) years of progressively responsible experience. • The ability to construct practical computational pipelines for data parsing, quality control and analysis for large-scale genetic or genomics datasets. • Strong programming skills (e.g., in R, Python) with experience in RStudio and Jupyter Notebooks. • Demonstrable shell scripting skills (e.g., bash, awk, sed). • Experience working in a Linux environment (especially a HPC environment or cloud). • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Strong proficiency in programming (R and Bash) and GitHub. • Previous experience with lung cancer genomics research. • Strong experience analyzing high-throughput sequencing data including whole-genome sequencing data, bulk RNA sequencing, 16S rRNA sequencing. • Strong experience with microbial ecology, genomics, and statistical analysis. • Experience or familiarity with processing of single-cell and spatial omics data utilizing latest bioinformatics tools such as Cell Ranger, Space Ranger, Seurat, Scanpy, Squidpy, Cell2location etc. • Experience working in Linux-based environments and using HPC (high-performance computing) clusters. • Strong experience with large-scale multi-omics data integration (e.g., genomics, transcriptomics, metagenomics, meta-transcriptomics). • Good understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets. • Experience with various environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake or Nextflow. • Knowledge of containerization with Docker/Singularity, JIRA and GitHub for project management. • Understanding of software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. • Strong analytical and problem-solving skills with attention to detail. • Strong communication skills, and the ability to work both independently and collaboratively as part of team. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 90,500.00 - 155,625.00 The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

Job Description Summary Job Description We are the makers of possible BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us. About us BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's something we all embrace as we collectively design, manufacture and market billions of MedTech products per year. BD's Diagnostics Solutions business is seeking a Senior Bioinformatics scientist to join a highly multi-disciplinary team developing new infectious disease diagnostic technologies. The senior bioinformatics scientist will be expected to develop new methods and tools for data analysis and interpretation, including translating data into clinically actionable decision algorithms to support our customers and patients. The role will also design and optimize data analysis pipelines for improving R&D capability and efficiency. The ability to answer scientific questions from biological experiments is an essential skill for this position. The senior bioinformatics scientist will collaborate with research and development teams throughout the full project life-cycle, participating in product development from start to finish. This role offers an excellent opportunity to impact many aspects of the medical diagnostic business, while providing a substantial contribution to BD’s strong culture and commitment to quality product design and manufacture. Responsibilities: • Innovate, develop, train and validate automated algorithms to translate extensive microbiological datasets into clinically actionable decisions. • Collaborate to develop descriptive models and metrics from instrument platform data to enable exploratory data analysis and decision algorithm training. • Support project team activities by developing and maintaining algorithm and data analysis pipelines that collect, process and analyze, and display experimental data. • Collaborate with clinical and project teams to plan and analyze studies, experiments, and surveys; use statistics fundamentals to support and facilitate strategic decision making for management and project teams. • Program, document, and validate software code to execute data handling tasks, perform data analysis and produce data visualization results. • As a member of the R&D systems engineering and bioinformatics team, identify hardware design risks and work to implement process improvement initiatives. • Serve as cross-functional subject-matter expert in product and pipeline development from feasibility to market launch. • Present analyses and interpretations to internal and external customers. • Provide data analysis deliverables for projects to meet schedules and goals. Develop/revise work plans independently except for unusual situations, which might require consultation. • Review and/or prepare formal written reports/documents for distribution within and outside the department. QUALIFCATIONS • Self-Motivated Learner • Strong communication skills and ability to discuss data, modeling, and analysis with technical and non-technical audiences • A high degree of professionalism, customer focus, and organizational skills is required • Prior experience working within a regulated device or healthcare industry is preferred Requirements: • Bachelor’s degree with a Master’s degree in Computer Science/Engineering, Bioinformatics, Biostatistics or a related field preferred and/or 5+ years of equivalent experience in related role • 3+ year of experience in a related role with BA or MA degree, and/or 2+ years of experience with relevant PhD work. • Proficiency with Python, R, or similar data scripting / programming language is required • Demonstrated database management skills and familiarity with SQL required Preferred: • Coursework or experience in statistics fundamentals • Ability to interpret project level requirements and develop programming specifications, as appropriate • Experience with Software production and Test management tools • Demonstrable scientific experimental design and data science experience preferred. • Clear understanding of fundamentals of biological sciences. Knowledge in clinical microbiology is a plus. • Experience working both in Linux/UNIX and MS Windows environments is preferred. At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. Why Join Us? A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place. To learn more about BD visit https://bd.com/careers Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status. Required Skills Optional Skills . Primary Work Location USA MD - Sparks - 7 Loveton Circle Additional Locations Work Shift At BD, we are strongly committed to investing in our associates—their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You. Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates’ progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field-based and Remote roles. Salary Range Information $90,000.00 - $148,400.00 USD Annual

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 Engineer 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 Engineer, 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. This professional can work in a Hybrid capacity with 2-3 days in office a week. • 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. Required Work Experience: 1+ year similar experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. At least 1 year of experience working in a regulated industrial life sciences environment. Professional software development or technical engineering experience • 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. Why Join Haystack Oncology? • Work on cutting-edge liquid biopsy technology that directly impacts cancer patient care. • Collaborate with industry-leading experts in bioinformatics, genomics, and clinical diagnostics. • Be part of a high-growth environment with opportunities for professional development. • Contribute to innovation at the intersection of bioinformatics, cloud computing, and clinical diagnostics. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

Overview Join the HJF Team! HJF is seeking a Bioinformatics Analyst III (Computational Biology) who designs and executes computational genomics and statistical analysis (mutation discovery and trait association) in large DNA Whole Genome Sequencing (WGS) cohorts and genome wide RNA expression analysis. Provides analytic support and collaborative assistance to investigators and personnel. This position will be in support of Walter Reed Army Institute of Research (WRAIR), Medical Readiness Systems Biology Branch (MRSB) Branch. MRSB Branch, aligned under the Center for Military Psychiatry and Neuroscience (CMPN), consists of a team of laboratory molecular biology research scientists and technicians alongside computational biologists and bioinformaticians focused on identifying biomarkers of disease using a systems biology and multi-omics approach. Laboratory scientists and support staff complete a wide range of laboratory assays necessary for generating multi-omics datasets as well as research dissemination efforts including compiling, summarizing, and presenting information to inform novel research efforts and disseminate findings. Computational scientists perform advanced data analyses and manage big data to identify biomarkers and develop products for a variety of stakeholders across the military health system, in addition to, conducting literature reviews, writing manuscripts, and developing new research protocols, and funding proposals. Products developed, analyzed, and presented by the MRSB are regularly used by enterprise leadership to inform doctrine, practices, and policies. The research mission of MRSB aims to apply robust and precise molecular-based solutions for military-relevant health performance, resilience, and readiness. MRSB is a disease agnostic program that utilizes high-throughput, multi-omics platforms supported by a suite of cutting edge, targeted assay tools and AI-driven analytical capabilities to identify diagnostic and prognostic biomarkers and generate a knowledge base about biological mechanisms and personalized care. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. This position is contingent upon contract award. Responsibilities • Evaluates, analyzes, and customizes next generation sequence analysis protocols, e.g. HiSeq Analysis Software, Genome Analysis Toolkit (GATK), open source software, for a variety of sequencing applications. • Develops new WGS, RNA-seq, Exome seq, genome analysis pipelines and procedures. • Performs genome wide trait association analyses using tools such as Plink/seq, generalized linear model (glm). • Conducts data‐driven and hypothesis-directed genomics research. • Assists with the report of experimental results for publication in technical and peer-reviewed journals. Contributes and edits data, text and figures in program publications. • May supervise junior informatics staff. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Supervisory Responsibilities • Assigned Lead: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluations. Qualifications Education and Experience • Master's Degree required, Doctoral degree preferred within Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline • Minimum of 0-2 years experience required Required Knowledge, Skills and Abilities • Research training and proficiency in statistical analysis biomedical research, and quantitative analysis. Programming ability in (R or other statistical language). • Scripting language (Perl, Python, or comparable), and (C/C++, Java or comparable language). • Experience with next-generation sequencing analysis i.e. alignment, quality assessment, variant detection, statistical inference. • Preferred experience with trait association analysis such as Plink, glm. • Experience with pipeline development and implementation on compute clusters. • Experience with power calculations and study design. • Demonstrated ability to work effectively as part of a team in a deadline-driven environment. • Good communication and analytical skills. • US Citizenship and the ability to obtain and maintain a T3/Secret Clearance Physical Capabilities • Lifting: Requires lifting materials up to 10 lbs. • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in a laboratory setting. Compensation • The likely salary range for this position is $64,200 - $90,000 annually. This is not, however, a guarantee of compensation or salary. Final salary will be determined based on market analysis, experience, and education. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.