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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 diseaseenabling 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.

Youll 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 technologiessuch as explainable machine learning and single-cell analyticsto 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

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