Senior Bioinformatics Scientist

Join Veracyte, a trailblazing organization dedicated to revolutionizing cancer care for patients worldwide. At Veracyte, our team members have the opportunity to make a significant difference in patients' lives while thriving in a mission-driven environment. We embrace the Veracyte way, which emphasizes collaboration, guided by our core values, to equip clin…

Role overview Ultima Genomics is hiring a Senior Bioinformatics Scientist to support the advancement of genomic technologies. This position is fully remote and open to candidates located anywhere in the United States. What you will do Create new bioinformatics methods and tools for the analysis of complex genomic data Interpret large-scale datasets to assist ongoing research and development Apply expertise to projects focused on expanding the possibilities within genomics Location This is a remote role available throughout the US.

We are seeking a passionate and skilled Bioinformatics Scientist to join our dynamic team in Cambridge, MA. In this role, you will leverage your expertise in bioinformatics to analyze complex biological data, contributing to innovative research projects and advancements in genomics and personalized medicine.Your responsibilities will include developing computational tools, performing data analysis, and collaborating closely with interdisciplinary teams to translate biological insights into actionable outcomes.

Join our dynamic and innovative team at PromptBio as a Senior Bioinformatics Scientist, where you'll play a pivotal role in leveraging AI technologies within the life sciences sector. This position also involves substantial interaction with our clients, ensuring they receive the best scientific support.Key Responsibilities:Collaborate closely with the Business Development team, acting as the primary scientific liaison for enterprise clients, fostering deep technical relationships, and assisting them in extracting biological insights.Develop and execute customized multi-omics analysis workflows, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics, tailored to meet specific client needs.Continuously assess and integrate cutting-edge bioinformatics tools, algorithms, and computational techniques to maintain leadership in the field.Contribute to scientific literature through authorship and collaboration on publications, presentations, and intellectual property filings.

Join AbbVie as a Senior Scientist I, where you will leverage your expertise in bioinformatics, biotherapeutics, and genetic medicine to drive innovative research initiatives. In this role, you will collaborate with a talented team of scientists and contribute to the advancement of cutting-edge therapeutic solutions.

Join Veracyte, a trailblazer in transforming cancer care on a global scale. Our team is dedicated to making a profound impact on patient lives while fostering an environment of continuous learning and growth. We embody the Veracyte way, a collaborative spirit driven by our core values to equip clinicians with the critical insights necessary for impactful patient decisions.Our Core Values:We Seek A Better Way: Innovating with courage, learning from challenges, and resiliently pursuing advancements in cancer care.We Make It Happen: Acting with urgency and dedication to quality while finding joy in our endeavors.We Are Stronger Together: Fostering open collaboration, understanding, and celebrating our collective successes.We Care Deeply: Valuing our differences, committing to integrity, and supporting one another. The Role:We are in search of a skilled Bioinformatics Scientist to enhance our Sustaining and Continuous Improvement team within Global Operations. This pivotal role involves constructing, refining, and supervising comprehensive quality control (QC) processes for RNA-based microarray and NGS high-volume Laboratory Developed Test (LDT) diagnostic products in CLIA labs. The Bioinformatics Scientist will ensure operational excellence, drive process enhancements, and collaborate with cross-functional teams for effective troubleshooting. The selected candidate will maintain product consistency through routine CLIA updates, contribute to verification and validation documentation, and engage in design reviews. This role promises valuable exposure to diagnostic product development and sustainability, with a direct impact on improving patient outcomes.

About the Role Watchmaker Genomics is seeking a Bioinformatics Support Scientist in Boulder, CO. This position supports genomic research and biotechnology projects by assisting researchers with bioinformatics analysis, developing computational tools, and interpreting genomic data. The work helps drive new solutions in the life sciences.

Join Veracyte, a leader in transforming cancer care through innovative diagnostics that empower patients and clinicians alike. At Veracyte, we provide an inspiring work environment where you can make a significant impact on patients' lives while advancing your career. Our culture, known as the Veracyte way, emphasizes collaboration, resilience, and a commitment to excellence.Our Core Values:We Seek A Better Way: We boldly innovate and learn from challenges to improve cancer care.We Make It Happen: We prioritize urgency, quality, and enjoyment in our work.We Are Stronger Together: We foster open collaboration and celebrate our collective successes.We Care Deeply: We honor our diverse backgrounds and support each other in doing what is right.The Role:We are on the lookout for an enthusiastic Bioinformatics Research Scientist to join our Translational Bioinformatics group within the Bioinformatics and Data Science Team. This pivotal role involves leveraging computational and statistical techniques on extensive transcriptomic and genomic datasets, particularly focusing on prostate cancer biology and its clinical implications. The ideal candidate will play a key role in identifying clinically relevant molecular signatures that enhance disease stratification, prognosis, and the development of diagnostics, while effectively communicating findings to both scientific and clinical audiences. This position offers a unique opportunity to bridge the realms of data science, biology, and clinical research through close collaboration with scientists, clinicians, and cross-functional teams to convert complex data into actionable insights.

Join our team as a Bioinformatics Scientist III, where you will leverage your expertise in bioinformatics and computational biology to drive impactful research. You will work collaboratively with a dynamic team, utilizing advanced data analysis techniques to interpret complex biological data and contribute to groundbreaking projects in the life sciences.

About the Role At 10x Genomics, we are pioneering advancements in diagnostics by harnessing our cutting-edge single-cell and spatial assay technologies for transformative clinical applications. We are currently looking for a Scientist II to become an integral part of our clinical bioinformatics team. The ideal candidate will be adept at translating intricate biological questions into effective computational strategies, employing computational and statistical methodologies to analyze extensive single-cell or spatial transcriptomics datasets to extract clinically relevant insights. This role necessitates a biology-first approach, expertise in large-scale bioinformatics analysis, and a strong foundation in scientific reasoning and statistical analysis. The successful candidate will have the chance to work with some of the largest biomedical datasets, using state-of-the-art 10x Genomics technologies to drive innovations in clinical diagnostics. What You Will Be Doing: Execute comprehensive computational and statistical methods for single-cell and spatial transcriptomics data analysis. Extract actionable insights from clinical and translational single-cell or in-situ spatial datasets. Design, implement, and validate biomarkers for diagnostic use. Develop and uphold bioinformatics pipelines for reproducible, large-scale data processing. Process and analyze single-cell or in-situ spatial transcriptomics datasets encompassing hundreds to thousands of samples. To Be Successful, You Will Need: A Ph.D. in bioinformatics, computational biology, genomics, or a related field, along with substantial hands-on experience in single-cell NGS data analysis. At least 2 years of relevant industry experience post-Ph.D. Proficiency in analyzing large-scale single-cell or spatial transcriptomics datasets to glean biologically significant insights and/or diagnostic biomarkers. A deep understanding of the assumptions, limitations, and caveats associated with statistical methods. Experience in developing and optimizing high-performance, scalable code. Proficiency in a Linux environment. A goal-oriented, self-driven mindset with a knack for independent problem solving. Exceptional attention to detail and a strong work ethic.

Axle is seeking a Bioinformatics Scientist to support biomedical research at the National Institutes of Health (NIH) in Bethesda, MD. This position centers on developing and refining research methodologies that inform healthcare and scientific decisions. Role overview The Bioinformatics Scientist will work closely with research teams, applying analytical skills to advance ongoing projects. Collaboration and attention to detail are essential, as the work directly impacts research outcomes and supports innovation in the field. What you will do Contribute expertise in bioinformatics to support NIH research initiatives Develop and apply methods that enhance biomedical data analysis Collaborate with multidisciplinary teams to solve complex research challenges Requirements Demonstrated experience in bioinformatics or a related scientific discipline Strong attention to detail and a collaborative approach to problem-solving Enthusiasm for advancing research in healthcare and biomedical settings

Grailbio is seeking a Bioinformatics Data Scientist based in Menlo Park, CA. This position centers on the analysis of large and complex genomic datasets, contributing to ongoing progress in genomic medicine. Role overview The Bioinformatics Data Scientist will work with genomic data to uncover insights that can inform patient care. The work involves developing data-driven approaches and methods tailored to genomic research challenges. Key responsibilities Analyze complex genomic datasets to extract meaningful patterns and findings Develop and apply computational solutions to support research in genomic medicine Contribute to projects that may impact patient care through data interpretation Location This role is based in Menlo Park, CA.

e184 Repro is a biotechnology research company in Portland, Oregon, dedicated to advancing in vitro gametogenesis. The team develops technologies that support gamete development for individuals facing infertility. Their work brings together cellular reprogramming, machine learning, multi-omics analysis, and automated laboratory workflows. Role overview This Bioinformatics Scientist role focuses on computational analysis of multi-modal genomics data, with an emphasis on cellular reprogramming. The main objective is to identify transcription factor combinations that drive specific cell state transitions. Collaboration with wet lab teams is a key part of the position, ensuring computational findings inform experimental strategies. Main responsibilities Analyze single-cell genomics datasets, including scRNA-seq and ATAC-seq, to map gene regulatory networks. Perform differential analysis of single-cell transcriptomics data. Prioritize transcription factor cocktails computationally for cellular reprogramming protocols. Work closely with experimental teams to refine experimental designs based on computational insights. Develop hybrid approaches that integrate computational model results into reprogramming workflows. Requirements Strong background in cellular reprogramming and gene regulation biology. Experience working with multi-platform scRNA-seq analysis. Proficiency in computational genomics, especially related to transcriptional regulation. Ability to collaborate with wet lab scientists and contribute to interdisciplinary projects. Location Portland, Oregon

About UsAt Nomic, we aspire to revolutionize the way biology is quantified. Our flagship product, nELISA, represents the pinnacle of proteomic technology, addressing critical challenges in protein profiling through cutting-edge DNA nanotechnology, advanced flow cytometry, automated laboratories, and sophisticated machine learning techniques.Since our inception at McGill University, we have collaborated with numerous elite drug discovery organizations, including six of the ten leading pharmaceutical companies, successfully profiling over 60 million proteins from upwards of 400,000 samples.Following our recent $42M Series B funding, we have significantly enhanced our platform's capacity to meet surging demand, with our advanced facility now capable of processing over 2.5 million samples annually, yielding 500 million protein assays.Our diverse team of engineers, scientists, and innovators is committed to dissecting complex challenges through principled thinking and leveraging the latest scientific advancements to propel our mission forward.About the RoleAs a Senior Bioinformatics & Machine Learning Scientist at Nomic, you will play a pivotal role in solidifying our leadership in large-scale proteomics. Your contributions will redefine the analysis, interpretation, and application of proteomic and multi-omics data, enabling our clients to transition from raw data to groundbreaking scientific insights. By creating innovative decision-support models, expanding our reference datasets, and sharing thought leadership, you will help shape the future of the field, accelerating discoveries in drug development and biomarker research.You will be part of a multidisciplinary team, enhancing our existing infrastructure to develop analysis pipelines, machine learning models, and product-facing workflows that render proteomic data actionable for our customers. Your efforts will refine the applications layer in the Nomic Portal and support key initiatives such as target discovery, perturbation analysis, and translational research. This position emphasizes both leadership and collaboration, as you will mentor and work closely with our engineering, product, and data teams as we expand our capabilities.

Phoenix Bioinformatics is a non-profit organization supporting global research in plant biology, paleontology, and evolutionary biology. The team builds and maintains scientific data infrastructure to advance discovery in these fields. Role overview The Full Stack Software Engineer works closely with the Director of Engineering to build and improve Phoenix Bioinformatics' main platforms: TAIR and MorphoBank. The role also involves supporting access and curation tools that help researchers. Versatility is important here, and the organization encourages team members to take on a range of responsibilities while developing their skills. AI tools in development Phoenix Bioinformatics uses an AI-driven approach. Coding assistants such as Copilot, Claude, or Cursor are part of the workflow to help automate repetitive tasks and speed up development. Engineers are expected to use these tools thoughtfully, maintaining high standards for code quality and security. Key responsibilities Code ownership: Maintain and support code after deployment. Carefully review all code, whether written by peers or AI, before merging. Full-stack development: Build and launch features across databases, user interfaces, and backend systems. Agile delivery: Deliver working code quickly using modern practices, including AI-assisted prototyping. Team collaboration: Work closely with colleagues and participate in thorough peer reviews. Requirements At least 2 years of experience in full-stack development (internships and externships count). Proficiency in Java, JavaScript, and Python. Familiarity with modern UI frameworks (such as React or Vue), relational databases, and AWS services (EC2, S3, Lambda). Comfortable using LLM tools and able to debug or refactor existing code. Bachelor's degree in Computer Science or a related field (Master's degree is a plus). Must be authorized to work in the United States. Who thrives here Enjoys working in a small, agile team setting. Motivated to build solutions that help scientists tackle important problems. Experienced in integrating LLMs into development workflows and understands their strengths and limitations. Has a record of making meaningful contributions to projects.

Join us as a Senior Scientist in Computational Biology at Flagship Pioneering, Inc. In this pivotal role, you will leverage your expertise to drive innovative research and development in computational biology, contributing to groundbreaking discoveries and advancements in the field.

Join Veracyte as a Senior Computational Development Scientist, where you will play a pivotal role in our mission to transform patient care through innovative genomics. In this remote position, you will leverage cutting-edge computational techniques to analyze complex genomic data, contributing to groundbreaking discoveries in cancer diagnostics.

Join BillionToOne, Inc. as a Bioinformatics Associate in Oncology, where you will play a pivotal role in advancing cancer research through innovative bioinformatics solutions. In this dynamic position, you will collaborate with a team of experts to analyze complex biological data, support genomic projects, and contribute to the development of cutting-edge technologies aimed at improving patient outcomes.

Join Mithrl as a Lead Bioinformatics EngineerAt Mithrl, we envision a future where groundbreaking medicines are swiftly delivered to patients, transforming the landscape of health care.Mithrl is pioneering the world's first commercially available AI Co-Scientist, a revolutionary discovery engine that converts complex biological data into actionable insights in mere minutes. By simply asking questions in natural language, scientists receive immediate responses with comprehensive analyses, innovative targets, hypotheses, and patent-ready reports.Our impressive growth trajectory includes:12X year-over-year revenue growthTrusted by top-tier biotech firms and major pharmaceutical companies across three continentsFacilitating real breakthroughs from target discovery to patient outcomes.About the RoleWe are in search of an innovative Lead Bioinformatics Pipeline Engineer to architect and expand Mithrl’s multimodal scientific processing pipelines. You will be responsible for developing workflows that convert raw biological data into clean, reproducible outputs that fuel Mithrl’s AI Co-Scientist. Your work will encompass a range of modalities including microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.This pivotal role lies at the core of our technical infrastructure. You will design Nextflow and nf-core style pipelines, implement modality-specific validation and quality control layers, and collaborate closely with our Tabular Data Team and Knowledge Curation Team to ensure seamless data harmonization, variable ID mapping, and schema alignment. Your contributions will enable scientists to pose inquiries and receive accurate, data-driven answers instantaneously.If you are passionate about constructing robust scientific workflows and tackling high-impact challenges, you will find your place here.

About the Role the-ripple-way is seeking a Bioinformatics Specialist and Developer in Rockville, Maryland. This position focuses on supporting research efforts and developing solutions in bioinformatics. The work involves collaborating with experienced colleagues to advance research using modern technology and established methodologies.