Senior Data Scientist
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.
About the job
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
Skills
Python, Machine Learning, Deep Learning, Bioinformatics, LLMs, Cloud Computing, Graph Databases, Tabular Databases, Biomarker Identification, Patient Stratification
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