PhaseV empowers biopharma sponsors and CROs with AI/ML-driven solutions for fast, efficient, and accurate clinical development decisions. Backed by Accel and Insight.
About the role
PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial.
What they're looking for
- 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
- Work experience in a biotechnology/life sciences environment
- Strong programming skills in Python (R in addition - an advantage)
- Proficiency in statistical analysis and machine learning
More about this role
PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.
We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. This is an integral role on our team with opportunity to interface...
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