Senior Data Scientist
PhaseV•Cambridge, MA
About The Position
PhaseV is a cutting-edge startup focused on innovating the drug development process. We utilize advanced causal inference and machine learning to analyze clinical data, extract actionable insights, and optimize clinical trial planning. Our proprietary ML-based platform supports adaptive clinical trial design and execution, enabling sponsors to conduct more efficient, precise, and successful trials. We collaborate with leading pharmaceutical companies, CROs, and biotechs to significantly impact drug development and market introduction.
Requirements
- Master's in Computer Science, Statistics, Data Science, Engineering or a related field
- 3+ years of experience in data science or machine learning roles
- Experience with ML in a practical research or industry setting
- Background in statistical modeling and analysis
- Strong programming skills in Python
- Proficiency in statistical analysis and machine learning
- Experience with data visualization and communication of technical concepts
- Strong analytical and problem-solving skills
Nice To Haves
- Ph.D. is an advantage but not required
- R in addition to Python
- Familiarity with causal inference concepts
- Experience in healthcare or biotech industry
- Experience with large-scale data processing
Responsibilities
- Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
- Collaborate with senior data scientists to develop and improve our analytical platforms
- Work alongside clinical and biological experts to translate complex problems into technical solutions
- Conduct rigorous statistical analyses of both randomized and observational data
- Develop and validate methods for responder identification and treatment effect estimation
- Document and present methodologies and results for internal and external stakeholders
- Work cross-functionally with engineering and product teams
- Contribute to technical discussions and peer code reviews
- Support the preparation of technical documentation and research papers
Benefits
- Professional growth and development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
