🔥 20 hours ago
Design and deliver robust, production-ready data science models for complex client problems, translating ambiguous needs into rigorous mathematical approaches while promoting ethical AI and guiding junior data scientists.
Data Scientist (Open Level)
🕒 yesterday
Data SciencePythonMulti-modal BioinformaticsMachine Learning
📜 Description
- Lead data science projects that advance the drug development portfolio.
- Build models for therapeutic hypothesis evaluation, patient stratification, and biomarker identification.
- Design AI models to improve clinical trial evaluation, including surrogate endpoints.
- Help develop and train AI agents to automate biomedical workflows.
- Collaborate with clinical, technical, and research teams.
- Present analytical findings to senior stakeholders and executive leadership.
🛠️ Requirements
- PhD in computational sciences or life sciences
- 3-5+ years of post-academic experience in life sciences (biotech, pharma, consulting)
- Strong programming skills, particularly in Python
- Extensive experience in multi-modal bioinformatics analysis
- 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
Full job description
About the Position
As a Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.
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
About You
Required Qualifications
PhD in computational sciences or life sciences
3-5+ 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
Total Compensation Range: $161,500 - $267,000
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