Job Description
📋 Description Design, execute integrative analyses across multiomics to support target ID, biomarker discovery Integrate public and internal datasets to generate therapeutic hypotheses across programs. Apply AI-enabled computational approaches to accelerate discovery while using sound judgment. Collaborate with cross-functional scientists to translate analyses into actionable insights. Communicate results via presentations, reports, and publications. This is a U.S.-based remote role with periodic travel to Palo Alto or conference locations. 🎯 Requirements PhD in Computational Biology, Bioinformatics, Genetics, or related quantitative field with 5+ years Experience integrating transcriptomic, proteomic, genetic, and related datasets to answer questions. Experience supporting biomarker discovery, translational research, or target identification in Proficiency in Python for scientific computing and data analysis. Ability to rapidly learn new disease areas and integrate diverse evidence into insights. Excellent communication and ability to thrive as an independent contributor in a fast-moving 🎁 Benefits Competitive compensation package and equity opportunities. 100% employer-paid medical, dental, and vision premiums for you and dependents. 401(k) with employer match and comprehensive benefits. Flexible PTO and family-friendly leave policies. Career development through learning resources and coaching. Commitment to diversity, equity, and inclusion.
