Bioinformatics Jobs

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $25 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies, or growing efficiency in their laboratories, we are here to support them. Location/Division Specific Information South San Francisco, CA Clinical Sequencing Division Discover Impactful Work: The Bioinformatics Internship position at Thermo Fisher Scientific Inc. offers an outstanding opportunity for students currently pursuing a degree or equivalent experience in computational biology, bioinformatics, computer science, mathematics, or a related field. As an Intern II, you will have the unique chance to acquire hands-on experience collaborating with bioinformatics scientists in a dynamic research and development setting. You will be instrumental in the advancement and validation of software and assays for high throughput next generation sequencing. The internship program at Thermo Fisher Scientific Inc. offers participants an ambitious chance to create results, quickly gain credibility, and develop a strong company network. What will you do: • Understand the software/assay requirements and create tickets for the development team. • Design test cases to effectively test the implemented feature. • Complete performance testing and build benchmark datasets with different versions of the software. • Give oral presentations at internal meetings. How will you get here: Education: Currently enrolled in a 4-year undergraduate or 2-year master’s program for a degree in computational biology, bioinformatics, computer science, mathematics, or a related field. Equivalent experience in the mentioned fields will also be considered. Experience: • Experience working in a Unix/Linux environment, python, and SQL. • Experience in using Jira and Confluence. Knowledge, Skills, Abilities: • Strong communication skills. • Understanding of genomic data. Benefits We offer competitive remuneration, an annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with a world-class, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation, and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation, and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds, and perspectives are valued. Compensation and Benefits The hourly pay range estimated for this position based in California is $14.75–$28.75. 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

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment, the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.#LI-HybridKey Responsibilities:Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design, data analysis and interpretation.Develop bioinformatics pipelines for NGS data analysis, data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.Produce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Lead bioinformatics pipeline validation and transfer.Support the wider R&D team with general bioinformatics needEssential Requirements:PhD in bioinformatics, computational biology, biostatistics, molecular biology, virology or related discipline.At least 5 years of relevant industry work experience is required.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis, genome mapping, variant calling and interpretation.Strong communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Ability to set up bioinformatics computation systems from ground up.Experience in virology or viral gene therapy and working experience in GxP environment is considered a plusThe salary for this position is expected to range between $132,300 and $245,700 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Note: The job is a remote job and is open to candidates in USA. The Fountain Group is seeking a Bioinformatics Machine Learning Scientist to work closely with stakeholders in the Quantitative Medicine and Genomics organization. The role involves developing predictive AI/ML models using large-scale datasets to elucidate drug mechanisms of action, while also supporting senior analysts in various AI model implementations. Responsibilities • Support senior analysts in implementing, training, and troubleshooting AI models. • Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows. • Collaborate with scientific and technical teams to translate biological questions into computational solutions. • Document processes and outcomes ensuring reproducibility and transparency. • Assist in interpreting model outputs to advance the understanding of drug MOA. • Work with agility on time-bound projects with critical deliverables. Skills • Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow. • Understanding of deep learning models and applied experience in deploying AI/ML solutions. • Genomic data analysis • Transcriptomics • Imaging data • Very large data sets • Implementing, training AI/ML models • Data pre-processing for AI compatibility • Domain knowledge of bioinformatics • Experience working with genomic data • Ability to communicate results clearly Education Requirements • PhD in Computational Science, Computer Science, Data Science, Bioinformatics, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer Company Overview • The Fountain Group is a staffing firm that specializes in rendering contingent workforce solutions to various industries. It was founded in 2001, and is headquartered in Tampa, Florida, USA, with a workforce of 501-1000 employees. Its website is https://thefountaingroup.com/. Company H1B Sponsorship • The Fountain Group has a track record of offering H1B sponsorships, with 19 in 2025, 41 in 2024, 24 in 2023, 42 in 2022, 41 in 2021, 14 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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 seeks a Bioinformatics Engineer (R3-R6) to create workflows and analyze high-dimensional data. Develop self-service analytics tools to enable and facilitate real-time analysis of scientific data within our research community. Work closely with internal and external partners to find new ways to accelerate bioinformatics work across Lilly Research Labs (LRL). Design and develop full-stack web applications to aid scientists in next-generation sequencing (NGS) analysis. Maintain code repositories, including branch workflows, code reviews, test automation, and deployment. Represent LRL bioinformatics to internal and external partners. #LI-DNI Position requires a Master's degree in Bioinformatics, Information Systems, or a related field and 3 years of experience with web development and working in a Linux or Unix environment. Experience must include a minimum of: 2 years of experience with software development in applied science; 2 years of experience with development and implementation of large-scale informatics production solutions in the cloud using AWS/Azure and Docker; 2 years of experience with implementing bioinformatics pipelines using scalable cloud solutions including Familiarity with Nextflow; 2 years of experience with NGS technology and downstream data analysis, including RNAseq, ATACseq, and ChiPseq; 2 years of experience with designing, maintaining, and implementing relational databases; and 2 years of experience with NoSQL databases. Telecommuting benefit available. Up to 5% domestic travel required. #LI-DNI Job location: Indianapolis, IN. RATE OF PAY: $156,829.00 per year. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-91510 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Lilly Corporate Center, Indianapolis, IN 46285. 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 $156,829 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

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. Summary: AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in biology for more than 15 years. Its forward-thinking structure, centralized funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit here.   Please include a cover letter with your application detailing your qualifications and experience as they relate to this position. About the role: We're seeking a skilled Data Engineer to drive scientific innovation through robust data infrastructure. In this role, you’ll design, develop, and optimize scalable data pipelines and tools for the ingestion, transformation, and integration of large, heterogeneous datasets, focused on integration of complex biological sequence datasets from diverse sources. This includes writing production-quality Python code to parse, validate, and transform sequence data from published research papers, public databases, and experimental outputs. This role requires both technical excellence in data engineering and the ability to understand biological research contexts to ensure data integrity and scientific validity. Your work will directly support computational research initiatives, including machine learning and AI applications. Collaborating closely with multidisciplinary teams of computational and experimental scientists, you’ll help define and implement best practices in data engineering, ensuring data quality, accessibility, and reproducibility. You’ll also be responsible for maintaining detailed documentation, potentially mentoring junior engineers, and automating workflows to streamline the path from raw data to scientific insight. What we provide: A competitive compensation package, with comprehensive health and welfare benefits. A supportive team environment that promotes collaboration and knowledge sharing. The opportunity to engage with world-class researchers, software engineers and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity’s understanding of fundamental scientific questions. Amenities that enhance work-life balance such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington D.C. metro area. What you’ll do: Design and implement scalable, robust data pipelines for bioinformatics data using workflow managers (Snakemake, Nextflow, or similar) that perform data validation and quality control at every pipeline stage through tests and clear data visualization. Stay up to date with scientific literature to understand data context and processing requirements. Document data provenance and transformation steps comprehensively. Apply statistical tools and programming languages (e.g., Python, R) to analyze large datasets, develop custom functions, and extract actionable insights through effective visualization. Establish and maintain data standards, formats, workflows, and documentation to ensure data quality, accessibility, and reproducibility across projects. Collaborate with interdisciplinary teams, potentially mentor junior engineers, and direct or assist in directing the work of others to meet project goals while advising stakeholders on data strategies and best practices. What you bring: Minimum requirements: Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field with 3+ years of experience applying and customizing data mining and data analysis methods and techniques. An equivalent combination of education and relevant experience will be considered. Experience with data formats such as FASTA, FASTQ, and annotation files. Experience with data validation and quality control techniques. Clear technical documentation and communication skills. Experience in building scalable data solutions, working with big data technologies, and ensuring data quality and accessibility. Expertise in utilizing data visualization libraries and software (e.g., Matplotlib, R, Jupyter notebooks). Demonstrated expertise in statistical analysis. Detail-oriented, creative, and organized team player with strong communication skills and a collaborative mindset. Able to effectively manage time, prioritize tasks, and clearly convey complex data concepts to technical and non-technical audiences. Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. Compensation Range Data Engineer II: $98,039.20 (minimum) - $122,549.00 (midpoint) - $159,313.70 (maximum) Data Engineer III: $112,629.60 (minimum) - $140,787.00 (midpoint) - $183,023.10 (maximum) Pay Type: Salary HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range. #LI-BG1 Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. HHMI is an Equal Opportunity Employer We use E-Verify to confirm the identity and employment eligibility of all new hires. Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time. Why HHMI To move science forward we need a diverse collection of talents, expertise, and backgrounds in scientific research and science education, as well as communications, finance, human resources, information technology, investments, law, and operations. At HHMI, we encourage collaborative and results-driven working styles and offer an adaptable environment where employees can do their best work. What makes us strong is the diversity of our perspectives. We work to promote a culture of inclusion in our work environments and across the greater scientific community. To find more information about us and the steps we're taking to make HHMI a more inclusive organization, visit our About Us page. Your best option for consideration in our career opportunities is to apply directly via our HHMI Careers site. There, you will learn more about HHMI and can find information about our available roles. Contact us at recruitingsupport@hhmi.org if you require an accommodation related to completing the job application. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Applicants have rights under federal employment laws. For more information about your rights as an applicant, please review these posters: Family and Medical Leave Act (FMLA), Know Your Rights, and Employee Polygraph Protection Act (EPPA).

Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference, and participate in human advancements. Our culture is fast-paced, energetic, and growing all the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: • Events and programs for children, sports camps, and tuition options • World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty • Work/life and family-friendly policies and reimbursement • Participation in Stanford’s social responsibility and sustainable programs for a better world • A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of human disease. This is done through discovery (research), education, and clinical care. Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat, and understand the origin and manifestation of human disease, and to care for those who have or are at risk of developing a disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit http://pathology.stanford.edu/ About GREGoR Stanford Site: GREGoR Stanford Site (GSS), is one of 6 sites in the National Institutes of Health (NIH)’s Genomics Research to Elucidate the Genetics of Rare disease (GREGoR) Consortium. The GSS (https://gregor.stanford.edu/) mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease through integrated analysis of multi-omics data. GSS is led by co-PIs Dr. Stephen Montgomery (Department of Pathology), Dr. Matthew Wheeler (Division of Cardiovascular Medicine), and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short read and long read genome sequencing, transcriptome sequencing, methylation assays, metabolomics and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes. The data will be analyzed in a secure and scalable manner using a HIPAA compliant cloud platform like AnVIL and Google Cloud Platform (GCP). Novel causal variants and genes will be validated through state-of-the-art targeted approaches, including massively parallel reporter assays, induced-pluripotent stem cell assays, and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly talented and motivated Bioinformatics Engineer to support our GSS pipeline and data analysis team. Your role will focus on the development of pipelines and tools for comprehensive analysis of large amounts of molecular data generated by the GSS, with special emphasis on genomics, transcriptomics, and metabolomics datasets. You will also establish and support cloud infrastructure for storage and computation of the multi-omics data. Your ability to understand biological experiments, strong experience in the analysis of large-scale biological datasets, proficiency with programming languages, and experience in high-performance computing environments or cloud will be a key resource in enabling high-quality data to flow through our systems to enable diagnosis and discovery of new disease-gene associations. A complete application will include a CV and cover letter. Duties Include: • Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS. • Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP. • Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates. • Develop intuitive reports for molecular pipelines for tracking progress and quality metrics. • Track reports for problems with pipeline analysis and underlying data. • Extract relevant data from a variety of sources, including RESTful API services, databases, and medical records. • Serve as a resource for bioinformatics inquiries from the clinical team members to access data or results from local cluster/cloud/external provider. • Work with stakeholders across the consortium to best understand data structures to model metadata schemas. • Mentorship to Junior Analysts with regards to primary analysis • Document and report as needed to fulfill grant and regulatory obligations. • Due to the nature of the work, this position will be fully onsite. • - Other duties may also be assigned Desired Qualifications: • Graduate degree (Ph.D or M.S) that emphasizes bio/medical informatics, engineering, computer science, and statistics are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages like WDL, or Snakemake, or Nextflow. • Proven track record of data and infrastructure management in a HPC (High Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. • Experience with container systems, such as setting up virtual machines and docker instances. • Experience and knowledge of code management, such as github. • Experience in systems biology approaches for data integration is a plus. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (rare disease) is a plus. • Experience in bioinformatics and/or software development team-based projects. • Willingness to work in a highly collaborative environment. Experience as part of a large NIH consortium is a plus. • Ability to quickly adapt and learn the latest tools and skills. • Strong communication skills (e.g., put together reports and presentations). • Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results). Education & Experience (Required): • Bachelor's degree and three years of relevant experience or 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. • Excellent writing and analytical skills. • Ability to prioritize workload. Physical Requirements*: • Sitting in place at a computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely write 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. The expected pay range for this position is $108,002 to $128,138 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. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or course auditing. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more 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. 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. 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 final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship not available. Our client is seeking a Bioinformatics Software Engineer in Foster City, CA / Hybrid Role Description • Design and implement a scalable, web-based interface for antibody and multispecific modeling workflows. • Develop and optimize database schemas to manage molecular modeling data and associated metadata. • Build and maintain FastAPI-based backend services to support computational pipelines. • Integrate molecular modeling tools (e.g., MOE, Schrödinger) into automated workflows. • Collaborate closely with scientists and data science team to translate research needs into robust software solutions. • Ensure code quality through modular design, thorough documentation, and maintainability. • Support platform deployment and testing in cloud-based environments Skills & Requirements • Master’s or PhD degree in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field with 2-3 years of experience • Strong front-end development skills (e.g., React, JavaScript, HTML/CSS). • Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker). • Proficiency in Python, with hands-on experience in FastAPI, SQL/NoSQL databases, and modern web development frameworks. • Experience developing automated computational pipelines for scientific applications. • Solid understanding of protein structure, antibody design, or biophysics is a plus. • Excellent communication and collaboration skills within multidisciplinary teams. • Familiarity with molecular modeling tools such as MOE, Schrödinger, or equivalent. • Knowledge of developability assessment metrics and antibody engineering principles. • Prior experience in biotech or pharmaceutical industry settings. Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570. Drug testing may be required; please contact a recruiter for more information. #LI-DNI #1179733 - Michal Mercier

Data Engineer II - Bioinformatics job at Exact Sciences Careers. Phoenix, AZ. • Help us change lives* At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. • Position Overview* The Bioinformatics Data Engineer II will be responsible for the analysis of data produced by assays and software applications under development by Exact Sciences and for designing and developing new algorithms and applications to support platforms and products being developed by our company. This position also entails partnering with Product Development teams on study design planning, analysis, and result interpretation and to gather requirements to develop modules to be integrated into software products. The position requires a basic understanding of data structures and files commonly used in bioinformatics and basic knowledge of statistical methods. • Essential Duties* Include, but are not limited to, the following: • Design and implement bioinformatics analyses to support the development of novel assays, improvement of assays under development, and hypothesis testing requested Product Development and Computational Biology team. • Collect and document product and software requirements and findings from analyses executed by themself and others. • Design and implement software modules implementing the requirements collected from data analyses. • Assist with the integration of software modules into pipelines. • Manage bench-generated data and bioinformatics outputs within high-performance computing (HPC) or cloud computing environments. • Design and implement software modules to automate data analyses. • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publications. • Identify and address trends in study data. • Ability to work collaboratively in cross-functional teams. • Strong written and verbal communication skills. • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company’s Quality Management System policies and procedures. • Maintain regular and reliable attendance. • Ability to act with an inclusion mindset and model these behaviors for the organization. • Ability to work designated schedule. • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 50% of a typical working day. • Ability and means to travel 10% between local Exact Sciences locations. • Ability to travel 5% of working time away from work location, may include overnight/weekend travel. • Minimum Qualifications* • Bachelor’s degree in Software Engineering, Computer Engineering, Computer Science, or field as outlined in the essential duties. • 4+ years of experience, or equivalent combination of experience and education as outlined in the essential duties. • Extensive experience in Linux-based HPC or cloud computing environments and associated tools. • Ability to write custom code in at least one programming or scripting language. • Experience with software ticketing, progress tracking, and timeline tracking systems: JIRA, Smartsheet. • Knowledge and adherence to good coding and documentation practices. • Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. • Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R. • Basic computer skills to include Internet navigation, Email usage, and word processing. • Proficient in Microsoft Office to include Excel, Word, and PowerPoint. • Demonstrated ability to perform the essential duties of the position with or without accommodation. • Authorization to work in the United States without sponsorship. • Preferred Qualifications* • Advanced degree (PhD or Masters). • 6+ years of relevant experience. • Experience in an FDA-regulated environment, ideally in medical device development. • Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment. • Familiarity with Laboratory Information Management Systems (LIMS), Next-Generation Sequencing (NGS), and clinical and diagnostic test development. • Experience with PDP (Product Development Process) and/or Cancer Genomics. #LI-AN1Salary Range: $124,000.00 - $200,000.00 The annual base salary shown is for this position located in US - CA - Redwood City on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible, and is eligible to be considered for company stock at hire and on an annual basis.Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our [benefits]( Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us [here](mailto:neo@exactsciences.com?subject=Exact%20Sciences%20Recruiting). Not ready to apply? Join our [talent community]( and stay up to date on what’s new at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our[ ]( hub]( The documents summarize important details of the law and provide key points that you have a right to know.

Vacancies Bioinformatics Scientist Job Introduction Thanks for checking out our vacancy, we're delighted you want to learn more about Dechra! Dechra is a growing, global specialist within the world of veterinary pharmaceuticals. Our expertise is in the development, manufacture, marketing and sales of high quality products exclusively for veterinarians worldwide. Here at Dechra, our values are embedded within our culture and thrive within our family of almost 3000 colleagues globally. From manufacturing to marketing, (D)edication, (E)njoyment, (C)ourage, (H)onesty, (R)elationships and (A)mbition are at the heart of our everyday operations and the way we do business. The Opportunity Provide Bioinformatics expertise to advance antibody discovery efforts for companion animals (dogs, cats, horses). Role Responsibility So, what will you be doing? This role has a broad and varied scope and the successful candidate will have responsibility for duties including: • Provide new target analysis by accessing and analyzing genomic and RNA-Seq datasets in the public domain. • Oversee external efforts to verify sequences for cat, dog or horse genes not currently in the publicly available databases • Oversee development of user-friendly databases containing antibody repertoire sequences from dog, cat and horse. • Lead the design of streamlining the input of data into Benchling to continuously improve data entry and organisation. • Carry out sequence liability remediation, and other biophysical property improvement of antibodies utilizing rational in-silico design approaches and/or publicly available software. • Assist in overseeing external collaborations utilising machine learning approaches • Curation and integration of relevant dog, cat, and horse genomic and RNA-Seq datasets from the public domain. • Analyse large numbers of antibodies from discovery campaigns by using clustering methods (clonotyping, sequence-based...) The Ideal Candidate Here at Dechra we pride ourselves on being an inclusive employer and we embrace candidates from all walks of life. We're particularly excited to hear from those who have/are: • Knowledge of machine learning approaches for protein design & biological data analysis. • Proficient in antibody engineering, including experience with antibody sequence liability remediation and biophysical property improvement. • Experience with next generation sequencing data analysis (DNA & RNA) Desirable • Experience with successful implementation of bioinformatics tools for scientific data management and analysis of large datasets such as machine learning or other state-of-the-art approaches (e.g. from next generation sequencing applications and antibody library sequencing) and harmonizing different types of data sets for analyses. • Familiarity with molecular modeling softwares such as Rosetta, Schrodinger, Molecular Operating Environment (MOE) • Experience with next generation sequencing data analysis (DNA & RNA) About the Company As a people first values-based culture, we provide free weekly wellness sessions focused on our employee's physical and mental wellbeing, and flexible work arrangements. We offer a generous employer 401k match and an other incentives for long-term financial wellness. Our full array of health, financial and voluntary benefit programs are what you would expect from a recognized Best Place to Work.

We're hiring Bioinformatics Scientists with strong backgrounds in database development, management and analysis as they relate to human health and disease biomarkers, with the goal of improving disease prediction and prevention. With ICR, you'll get to: • Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams • Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling • Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets • Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses Please apply if you have: • An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying • Extensive database architecture experience (e.g. SQL, MySQL, etc) • Extensive programming experience and intimate knowledge of programming languages for statistical analysis • Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets Ideally, you'll also have: • Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis • A solid understanding of and appreciation for Bayesian statistics and methods • Personal interest in using statistics to evaluate disease models and aging biology And you'll need: • Ability to work in the United States without sponsorship • A can-do attitude and a friendly, easygoing personality Salary Starting base pay range: $155,000/yr - $230,000/yr Starting additional compensation range: $10,000/yr - $30,000/yr Starting position title and compensation are commensurate with experience.