Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.
170k – 215k
Hybrid3+ YOEData Science
About the role
Responsibilities
Lead and execute complex data science projects that directly advance our drug development portfolio
Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
Aid in the development and training of AI agents to automate and optimize biomedical workflows
Collaborate cross-functionally with clinical, technical, and research teams
Present complex analytical findings to senior stakeholders, including executive leadership
Requirements
PhD in computational sciences or life sciences
3+ years of post-academic experience in life sciences (biotech, pharma, consulting)
Strong programming skills, particularly in Python
Extensive experience in multi-modal bioinformatics analysis
Preferred Qualifications
Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases
Strong background in machine learning and deep learning, particularly in biological applications
Experience with large language models (LLM)
Demonstrated ability to collaborate effectively with engineering teams on production systems
Strong communication skills with proven ability to present complex technical findings to senior stakeholders
Compensation and Benefits
Total Compensation Range: $170,000 - $215,000
Equity, comprehensive benefits, and generous perks
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