Discover International
Principal Scientist, Computational Biology
Discover International - San Francisco, California, United States, 94199
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Overview
Principal Scientist, Computational Biology
Principal Scientist, Computational Biology
We are partnered with a next-generation biotechnology company using artificial intelligence to revolutionize the process of discovering and developing new therapies. Our mission is to design protein-based and antibody therapeutics that address targets long considered difficult or impossible to drug. We are building powerful generative AI and foundational models tailored to biology and disease—enabling better target discovery, patient stratification, and increased efficiency throughout the drug development process. About the Role We are looking for an experienced and forward-thinking
Senior Principal Scientist, Computational Biology
to join our Computational Biology team within our Biology & Drug Discovery division. This is a high-impact role that will combine strategic leadership with hands-on scientific contributions, focused on genomics and proteomics initiatives to support target discovery, mechanistic insights, and translational development. You’ll act as a key scientific contributor and mentor, collaborating closely with both wet-lab and computational scientists. The ideal candidate brings deep experience in computational biology, biomarker development, and translational informatics, as well as a strong record of success driving cross-functional efforts in pharmaceutical or biotech settings. This position requires on-site work in South San Francisco. Key Responsibilities Omics Strategy & Analysis : Design, execute, and guide transcriptomic, proteomic, and multi-omics studies in preclinical models to uncover mechanisms of action, discover biomarkers, and support therapeutic optimization. Translational Data Integration : Analyze and integrate clinical, molecular, and real-world data to derive insights that inform patient stratification, indication selection, and biomarker strategy across the pipeline. Cross-Functional Collaboration : Act as a scientific liaison and advisor to translational medicine, clinical development, and biostatistics teams, aligning computational insights with program goals. Scientific Communication : Communicate findings and strategies clearly and effectively to diverse audiences, both internal and external, ensuring alignment and understanding across disciplines. Leadership & Mentorship : Provide mentorship to junior team members, contribute to hiring and team development, and promote scientific excellence and a collaborative, innovative culture. Required Qualifications Education : PhD in Computational Biology, Bioinformatics, Biostatistics, Genomics, or a related field. Industry Experience : 10+ years of experience in the biotech, pharmaceutical, or healthcare sectors, including postdoctoral and industry experience as a senior-level individual contributor. Technical Skills : Strong background in multi-omics data analysis (e.g., bulk/single-cell RNA-seq, proteomics, genomics) Proven ability in biomarker identification, patient stratification, and interpretation of clinical datasets Proficiency in R, Python, Git, Docker, and cloud-based computing environments Familiarity with clinical assay technologies and regulatory contexts Translational Impact : Experience contributing to regulatory submissions and supporting clinical biomarker strategies in early-stage programs. Collaboration & Communication : Excellent interpersonal and communication skills; demonstrated success working in highly collaborative, cross-functional environments. Innovation-Oriented : Enthusiastic about adopting new technologies—such as explainable machine learning and single-cell analytics—to drive therapeutic discovery and improve patient outcomes. If this role sound like you, please apply. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology and Research Industries Staffing and Recruiting Referrals increase your chances of interviewing at Discover International by 2x Sign in to set job alerts for “Computational Biologist” roles.
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Principal Scientist, Computational Biology
We are partnered with a next-generation biotechnology company using artificial intelligence to revolutionize the process of discovering and developing new therapies. Our mission is to design protein-based and antibody therapeutics that address targets long considered difficult or impossible to drug. We are building powerful generative AI and foundational models tailored to biology and disease—enabling better target discovery, patient stratification, and increased efficiency throughout the drug development process. About the Role We are looking for an experienced and forward-thinking
Senior Principal Scientist, Computational Biology
to join our Computational Biology team within our Biology & Drug Discovery division. This is a high-impact role that will combine strategic leadership with hands-on scientific contributions, focused on genomics and proteomics initiatives to support target discovery, mechanistic insights, and translational development. You’ll act as a key scientific contributor and mentor, collaborating closely with both wet-lab and computational scientists. The ideal candidate brings deep experience in computational biology, biomarker development, and translational informatics, as well as a strong record of success driving cross-functional efforts in pharmaceutical or biotech settings. This position requires on-site work in South San Francisco. Key Responsibilities Omics Strategy & Analysis : Design, execute, and guide transcriptomic, proteomic, and multi-omics studies in preclinical models to uncover mechanisms of action, discover biomarkers, and support therapeutic optimization. Translational Data Integration : Analyze and integrate clinical, molecular, and real-world data to derive insights that inform patient stratification, indication selection, and biomarker strategy across the pipeline. Cross-Functional Collaboration : Act as a scientific liaison and advisor to translational medicine, clinical development, and biostatistics teams, aligning computational insights with program goals. Scientific Communication : Communicate findings and strategies clearly and effectively to diverse audiences, both internal and external, ensuring alignment and understanding across disciplines. Leadership & Mentorship : Provide mentorship to junior team members, contribute to hiring and team development, and promote scientific excellence and a collaborative, innovative culture. Required Qualifications Education : PhD in Computational Biology, Bioinformatics, Biostatistics, Genomics, or a related field. Industry Experience : 10+ years of experience in the biotech, pharmaceutical, or healthcare sectors, including postdoctoral and industry experience as a senior-level individual contributor. Technical Skills : Strong background in multi-omics data analysis (e.g., bulk/single-cell RNA-seq, proteomics, genomics) Proven ability in biomarker identification, patient stratification, and interpretation of clinical datasets Proficiency in R, Python, Git, Docker, and cloud-based computing environments Familiarity with clinical assay technologies and regulatory contexts Translational Impact : Experience contributing to regulatory submissions and supporting clinical biomarker strategies in early-stage programs. Collaboration & Communication : Excellent interpersonal and communication skills; demonstrated success working in highly collaborative, cross-functional environments. Innovation-Oriented : Enthusiastic about adopting new technologies—such as explainable machine learning and single-cell analytics—to drive therapeutic discovery and improve patient outcomes. If this role sound like you, please apply. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology and Research Industries Staffing and Recruiting Referrals increase your chances of interviewing at Discover International by 2x Sign in to set job alerts for “Computational Biologist” roles.
San Francisco, CA $150,000.00-$250,000.00 10 months ago Computational Biologist, CRISPR Informatics (Biohub SF)
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Adjunct Faculty, Bioinformatics - Oakland
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South San Francisco, CA $140,085.00-$177,866.00 2 weeks ago Redwood City, CA $90,000.00-$150,000.00 1 week ago Member of Technical Staff - Wetlab Researcher
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South San Francisco, CA $103,600.00-$148,000.00 4 days ago San Carlos, CA $184,300.00-$230,450.00 4 hours ago Senior Director, Computational Biology (Cardiometabolic Drug Discovery Data Science)
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr