Company Overview:
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.
Position Overview:
We are looking for a Co-Medical director to join our team, located in Tel-Aviv, to lead the clinical aspects in our data-driven approach to optimizing clinical trials. The role will support both our data science teams and business development efforts, ensuring the highest standard of clinical relevance in our work. The ideal candidate will be an M.D. with a strong interest in leveraging advanced statistical and machine learning methods to improve clinical trial design and execution.
Key Responsibilities:
- Medical Guidance for Data Analysis: Provide clinical insights and oversight for the interpretation of causal ML-based models, ensuring their relevance and accuracy in clinical applications.
- Support for Business Development: Assist in communicating clinical value propositions to clients, supporting the business development team in discussions with pharma and biotech companies
- Serve as a clinical expert in client discussions, helping translate complex data outputs into actionable medical insights.
- Education and Training: Provide guidance to internal teams on key clinical concepts relevant to the various projects.
Qualifications:
- M.D. degree with experience in clinical research, clinical trial design, or drug development.
- Understanding of biostatistics and an interest in applying causal machine learning in clinical settings (no technical expertise required, but willingness to engage is essential).
- Strong communication skills and ability to work effectively in an interdisciplinary environment.
- Experience working in pharmaceutical, biotech, or CRO environments is an advantage.
- Familiarity with regulatory requirements for clinical trials (e.g., FDA, EMA, GCP) is an advantage.
What We Offer:
- An opportunity to influence the future of clinical trial design and drug development through cutting-edge causal ML approaches.
- The opportunity to work with an amazing team passionate about making a real-world impact.
- Extremely hard and diverse problem setting, in which the team is pushing the envelope.
- A collaborative and dynamic startup environment.
- Professional growth and development
