Principal Data Scientist
Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years 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
- 5+ 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: $204,500 - $267,000
- Equity, comprehensive benefits, and generous perks
Skills
Python, Machine Learning, Deep Learning, Bioinformatics, LLMs, Cloud Computing, Tabular Databases, Graph Databases, AI Agents, Biomarker Identification
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