Bioinformatics Jobs

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

We're here for one reason and one reason only - to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We've made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet. Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows. Job Description Company Overview We're here for one reason and one reason only - to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We've made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet. Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows. Job Summary We are revolutionizing the treatment for cancers through immunotherapy through novel breakthrough technology. We have developed and launched best in class CAR-T therapy Yescarta, currently curing patients from previously intractable b-cell malignancies. We are using our expertise to apply our success to other indications, and you can help! We are seeking an individual to join our Research organization in Santa Monica or Foster City. Reporting to Bioinformatics & Genomics, you will lead a team in a fast-paced, highly collaborative environment to build data-to-knowledge (D2K) pipelines, integrate GenAI into research workflows, and develop models from complex high-dimensional research and clinical datasets. As a leader within the Bioinformatics and Genomics division, you will work closely with discovery research, clinical development, translational medicine, regulatory, CMC analytics, IT/Data Engineering, and product development. You will use current experimental methodologies in the biological space, including high-throughput genomics and proteomics, as well as predictive modeling with advanced statistical analysis and bioinformatics algorithms. You will synthesize scientific questions into coherent strategies and communicate findings across research functions and to leadership. Job Responsibilities Lead projects in target identification/validation, biomarker strategy by mining and integrating large multi-omics datasets (e.g., TCGA, AC-ICAM, TARGET, GTEx, cBioPortal, dbGaP) together with Kite clinical, in vivo and in vitro data; Stand up D2K pipelines and GenAI-enabled knowledge workflows. Perform and review high-dimensional analyses (bulk/scRNA-seq/scTCR, spatial transcriptomics, Olink proteomics, metabolomics, flow cytometry, and digital pathology) to characterize the tumor microenvironment (TME), enable molecular phenotyping, and support patient stratification linked to differential outcomes (efficacy, durability, CRS/ICANS). Work closely with cross-functional teams to jointly advance the research, development, and improvement of our CAR T-cell pipelines; align analysis plans to program decision points. Coordinate deliverables jointly with clinicians, immunologists, molecular biologists, biostatistics, IT/Data Engineering, commercial and other departments; contribute to protocols, SAPs, CSRs, publications, and Health Authority responses. Basic Qualifications Doctorate and 8 years of scientific experience OR Master's and 10 years of scientific experience OR Bachelor's and 12 years of scientific experience Preferred Qualifications Ph.D. in Bioinformatics, Computational Biology, Immunology, or a closely related field and 5+ years of post-doctoral or industry experience, including team leadership. Full proficiency in R and/or Python, experience in Linux environments and cloud computing (AWS/Azure/GCP); development of statistical methods and algorithms. Proficiency building and maintaining large-scale analysis pipelines (containers, workflow orchestration, CI/CD); operating securely in the cloud. Deep knowledge of cancer biology and cancer immunology; familiarity with cell-therapy translational datasets and safety/efficacy biomarkers (CRS/ICANS) is highly desirable. Hands-on experience with bioinformatics analysis of NGS and flow cytometry; analysis of bulk and single-cell transcriptomics and spatial data using standard pipelines. Strong understanding of statistics and the ability to generate robust predictive models for outcomes in multidimensional data. Excellent interpersonal, verbal and written communication skills; proactive, self-motivated, and adaptable in a dynamic environment. Experience in cancer immunology research as substantiated by first or senior authorship in leading journals. People Leader Accountabilities: • Create Inclusion - knowing the business value of diverse teams, modelling inclusion, and embedding the value of diversity in the way they manage their teams. • Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose. • Empower Teams - connect the team to the organization by aligning goals, purpose, organizational objectives and holding to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. The salary range for this position is: Bay Area: $226,185.00 - $292,710.00. Other US Locations: $205,615.00 - $266,090.00. Kite considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: https://www.gilead.com/careers/compensation-benefits-and-wellbeing • Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. Kite is a biopharmaceutical company engaged in the development of innovative cancer immunotherapies with a goal of providing rapid, long-term durable response and eliminating the burden of chronic care. The company is focused on chimeric antigen receptor (CAR) and T cell receptor (TCR) engineered cell therapies designed to empower the immune system's ability to recognize and kill tumors. Kite is based in Santa Monica, CA. For more information on Kite, please visit www.kitepharma.com. Sign up to follow @KitePharma on Twitter at www.twitter.com/kitepharma. For jobs in the United States: Kite Pharma is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability,genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contactApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Kite Pharma 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, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Kite Pharma provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Kite Pharma Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

ATR International Santa Rosa, CA Our client is seeking a highly motivated Bioinformatics Software Engineer to help develop a next-generation computational platform for antibody-based therapeutic design and assessment. In this contractor role, you will focus on building scalable infrastructure for molecular modeling, developability assessment, and interactive data visualization. This is an exciting opportunity to work at the intersection of software engineering, bioinformatics, and therapeutic design, contributing to impactful research in the biotech space. Key Responsibilities • Design and implement scalable, web-based interfaces for antibody and multispecific modeling workflows. • Develop and optimize database schemas for managing molecular modeling data and metadata. • Build and maintain FastAPI-based backend services to support computational pipelines. • Integrate molecular modeling tools (e.g., MOE, Schrödinger) into automated workflows. • Collaborate with scientists and data scientists to translate research needs into robust software solutions. • Ensure code quality through modular design, documentation, and maintainability. • Support platform deployment and testing in cloud-based environments. Required Qualifications • Master’s or PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or related field with 2–3 years of experience. • Strong front-end development skills (React, JavaScript, HTML/CSS). • Experience with cloud platforms (AWS, GCP) and containerization (Docker). • Proficiency in Python, with hands-on experience in FastAPI, SQL/NoSQL databases, and modern web frameworks. • Experience building automated computational pipelines for scientific applications. • Understanding of protein structure, antibody design, or biophysics (a plus). • Excellent communication and teamwork skills. Preferred Qualifications • Familiarity with molecular modeling tools (MOE, Schrödinger, or similar). • Knowledge of antibody engineering and developability assessment. • Prior experience in biotech or pharmaceutical industry settings. Job Information

Job Title: Software Engineer with Bioinformatics exp Location: Foster City, CA - Hybrid Duration: 3 to 9 months Key Responsibilities 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, Schrdinger) 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 Required Qualifications 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, Google Cloud Platform) 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. Preferred Qualifications Familiarity with molecular modeling tools such as MOE, Schrdinger, or equivalent. Knowledge of developability assessment metrics and antibody engineering principles. Prior experience in biotech or pharmaceutical industry settings. Sandeep Macherla

About Karius Karius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us? Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company’s platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position Summary You are highly curious, creative, and driven by a desire for continuous growth with the ultimate goal of making a meaningful impact on patients’ lives. As a key and integral member of the Computational Biomarker Discovery team, you will focus on deeply exploring and analyzing the complex biological interplay between diverse conditions and molecular data. In this role, you will help unlock and help unlock preliminary biological signatures to inform translational science and precision medicine beyond the conventional infectious disease arena, and into areas such as autoimmune and cancer. You will design analysis plans, execute computational workflows, partner for method and machine learning model development, and integrate biological rationale with data-driven insights to uncover meaningful connections. You bring a passion for applying technology in novel ways, generating innovative hypotheses, and revealing hidden patterns in data. Your curiosity and analytical rigor will drive discoveries that push the boundaries of biomarker research and patient care. Reports to: Director, Computational Biomarker Discovery Location: Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities • Lead data analysis and interpretation of complex biological datasets, including next-generation sequencing (NGS), metagenomics, transcriptomics, fragmentomics, and single-cell analysis. • Create or adapt computational tools and algorithms to support biomarker discovery and workflows. • Drive bioinformatics aspects of cross-functional research projects in collaboration with scientific and medical leaders, under the guidance of the Director of Computational Biomarker Discovery. • Conduct deep exploration of the biological interplay between molecular data and disease conditions, generating insights to advance translational science. • Deliver preliminary biological signatures that inform precision medicine applications beyond infectious disease, including autoimmune disorders and oncology. • Partner in experimental design by defining analysis plans, selecting appropriate methodologies, and executing computational analyses with a strong grounding in biological rationale. • Collaborate closely with scientific, medical, engineering, and commercial teams to set company goals and support the development of new partnerships and products. • Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings. • Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders. • Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature. • Share enthusiasm for exploring novel applications of Karius’ technology platform to drive innovation and impact. What’s Fun About the Job? Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical Requirements Subject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements • Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master’s degree with 5+ years of directly relevant industry experience. • Publications demonstrating the use of innovative mathematical or computational models to investigate and interpret biological and biomarker data. • Strong background in modern statistics and machine learning, including applications to biomarker discovery. • Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise. • Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams. • Self-starter with the ability to independently drive results and influence project direction. • Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host–environment interactions. • Deep understanding and hands-on experience with bioinformatics tools, methods, and workflows, especially those related to next-generation sequencing (NGS) data analysis. • Familiarity with exploratory study and clinical trial designs and analyses, particularly in pharmaceutical or biotechnology applications. Personal Qualifications • Passionate, purpose-driven, and excited about Karius’ mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning. • Excellence at communication and collaboration within a cross-functional team. • Detail oriented with exceptional organizational and time management skills. • Self-starting mentality and ability to drive results. • Comfortable working in an environment which combines both research aspects as well as development. • Ability to work effectively and efficiently in a fast-paced (startup) environment. Disclaimer The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity Employer At Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual’s race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at recruiting@kariusdx.com and we will accommodate qualified individuals with disabilities. $0 - $0 a year

Fladger Associates Foster City, CA Responsibilities: • Excellent employment opportunity for a Bioinformatics Software Engineer in the Foster City, CA area. • Seeking a highly motivated Bioinformatics Software Engineer to contribute to the development of a next-generation computational platform for antibody-based therapeutic design and assessment. • This contractor role will focus on building scalable infrastructure for molecular modeling, developability assessment, and interactive data visualization. • The ideal candidate will have strong expertise in backend development, web interface design, database architecture, and pipeline automation. • 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 Experience: • 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. Preferred Qualifications • 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. Job Information Job Category: Education

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures. Here at Profluent, data is our lifeline. Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. As we continue to push the boundaries of what is possible, the volume of available genomic data is growing exponentially. Managing and extracting insights from this ever-expanding data is at the core of this position. We're seeking a Bioinformatics Engineer to design and build cutting-edge data and cloud infrastructure capable of handling the immense scale and complexity of our genomic datasets. This role is vital to ensuring that we can efficiently process, store, and analyze petabytes of data, unlocking the full potential of our models and driving discoveries across the life sciences. As an early team member, you’ll play a pivotal role in building the foundations of our data and cloud architecture. You will have the autonomy to make critical decisions and directly influence the success of our mission to harness the power of data for machine learning. This is an excellent opportunity to shape the future of AI-driven protein design and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, and gene editing. Responsibilities • Maintain and expand the world’s largest database of protein sequences • Deploy cloud-based pipelines to process and search large-scale genomic datasets • Build cloud databases for scalable storage and fast retrieval of terabases of genomic data, including genomes, genes, proteins, and structures • Clearly document code and communicate outcomes to colleagues Qualifications • BS, MS, or PhD in Bioinformatics, Genomics, Computer Science, or a related quantitative bioscience field • 3+ years of industry or postdoc experience • Experience working with Google Cloud Platform (GCP) or other cloud-based compute services (e.g. AWS) • Experience building cloud pipelines, pipelining tools (snakemake, NextFlow), and containerized applications (docker) • Experience with highly parallelized cloud-based computing platforms (Batch or Kubernetes) • Experience with scalable databases (BigQuery, BigTable) and proficient in database programming (SQL) • Fluent in Python data analysis tools (numpy, pandas, Jupyter notebook, biopython) • Experience with Linux environments and version control (git) Preferences (but not required) • Experience with bioinformatics tools for sequence and structure analysis • Experience working with next-generation sequencing data • Familiarity with public repositories like UniProt, EBI, JGI, NCBI, and SRA • Familiar with concepts in molecular biology, biochemistry, and structural biology • Biological knowledge about prokaryotic gene and genome structure • Publications in major scientific journals or conferences What we offer at Profluent • A high-growth opportunity with meaningful impact • Competitive compensation package • Health insurance (health/dental/vision) • Generous paid time off (PTO) policy • Commitment to physical and mental well-being • More benefits and perks to be added! Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law. Work Authorization Requirement Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position. Employment Eligibility Verification Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire. Hiring Salary Range $150,000—$200,000 USD

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.

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

Are you a self-motivated bioinformatician with a technical background and considerable experience in programming and NGS data analysis? Are you passionate about assisting others to spatially profile RNAs and proteins in tissue sections from different organisms? Do you find fulfillment and satisfaction when you proactively share, troubleshoot, and assist clients in adopting new tools for big data mining? As the Field Bioinformatics Scientist (Spatial), you will be responsible for providing scientific and technical expertise to support customers in adopting Complete Genomics’ single-cell and spatial technologies. You will empower researchers to design experiments, analyze big data, and interpret results, while acting as a trusted partner to help them achieve their scientific goals. WHAT YOU WILL BE DOING • Serve as the primary bioinformatics contact for customers using Complete Genomics’ spatial transcriptomics platforms. • Provide hands-on support for experimental design, data analysis, and interpretation. • Conduct customer training sessions, workshops, and webinars on spatial and single-cell workflows. • Collaborate with R&D, product, and application teams to troubleshoot, optimize, and improve workflows. • Generate and present analytical reports, publications-ready figures, and case studies. • Stay up to date with emerging analysis tools and contribute to pipeline development and benchmarking. • Support pre- and post-sales processes by demonstrating workflows and advising on project feasibility. ABOUT YOU • Strong communicator with the ability to simplify complex analyses for diverse audiences. • Empathetic, customer-oriented, and collaborative with a service-focused mindset. • Flexible and proactive problem solver who thrives in cross-functional environments. WHERE YOU WILL WORK • Location: San Jose, California (on-site preferred). Remote candidates within the U.S. will also be considered. • Travel: Approximately 10–15% to customer sites, conferences, and training events. WHAT YOU WILL BRING US MUST-HAVE QUALIFICATIONS • 2+ years of hands-on experience (post degree) in spatial transcriptomics and/or single-cell analysis (e.g., 10x Visium, Stereo-seq, CosMx, MERSCOPE). • Knowledge of single-cell RNA-seq workflows, with the ability to integrate and interpret results in biological context (cell type annotation, tissue organization, pathway analysis). • Excellent communication and customer-facing skills: able to explain complex analyses clearly, lead trainings/workshops/scientific presentations, and collaborate with empathy and a service-oriented mindset. ADDITIONAL QUALIFICATIONS • Proficiency with analysis frameworks such as Seurat, Scanpy, Giotto, Squidpy, BayesSpace, or StereoMap. • Strong programming/scripting skills (Python, R, Linux, shell scripting). • Experience with containerization technologies (Docker, Singularity). • Solid knowledge of statistics, data visualization, and machine learning methods in genomics. WHAT YOUR EDUCATION LOOKS LIKE • M.S. degree in Bioinformatics, Computational Biology, Genomics, or a related field with relevant professional experience, or Ph.D. in a related field with demonstrated expertise in spatial and/or single-cell data analysis. HOW WE WILL REWARD YOU The base salary range for this position is $90,000-125,000 DOE.* • Annual bonus plan to say thank you for all your hard work. • Annual gym membership reimbursement to keep you healthy. • Employee discount program to save you some money. We offer eligible employees and their dependents (including domestic partners) a comprehensive and competitive benefits package. We contributes to the benefits package. • Medical, Dental and Vision Coverage • Life and AD&D Insurance • Long-term and Short-term Disability Insurance • Voluntary Life and AD&D Insurance • Health Savings Account (HSA) • Flexible Spending Accounts (FSA) • Domestic Partner Benefits • Commuter Program • Employee Assistance Program • 401(k) Retirement Plan • Education Assistance • 20 PTO days and 11 holidays per year Complete Genomics provides equal employment opportunity without regard to race, color, religion, sex, national origin, sexual orientation, gender identity and/or expression, age, disability, veteran or uniformed service status, or any other characteristic protected by applicable law. • Final offer will be dependent on, but limited to, geographic location, relevant education and work experience, internal equity, and market conditions.