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 seeking a passionate and experienced Data Science Team Lead to head our team of brilliant researchers. The ideal candidate will have a strong background in machine learning with a special affinity for causal modeling and discovery as well as hardcore statistics. This role is critical in driving our mission to disrupt traditional clinical trial methodologies and improve drug development processes.

A couple of recent preprints we’ve released: CARD (https://arxiv.org/abs/2406.17571), Robust CATE Estimation Using Novel Ensemble Methods (https://arxiv.org/abs/2407.03690).

Key Responsibilities:

Technical Expertise:

• Drive the development and implementation of advanced ML algorithms, focusing on causal ML.
• Stay updated on the latest advancements in ML and AI to incorporate into our platforms.
• Work with clinical and biological experts to identify optimal solutions for hard problems. 

Leadership & Management:

• Be part of the company's leadership team, leading a key vector in our activity.
• Lead, mentor, and inspire a team of data scientists and researchers.
• Oversee project timelines, deliverables, and resource allocation.

Strategic Contribution:

• Engage with key stakeholders, including top pharma companies, to understand and address their needs.
• Represent the company at industry conferences and events

Qualifications:

Education:

• Ph.D. or Master's in Computer Science, Statistics, Data Science, Engineering or a related field.

Experience:

• Minimum of 7 years of experience in data science or machine learning roles.
• At least 3 years of experience in a leadership or team lead position.
• Experience with ML in a practical research or industry setting.

Skills:

• Proficient in programming languages such as Python or R.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Preferred:

• Experience in the biotech industry.
• Familiarity with Causal Inference.

What We Offer:

• Join us on a mission to change the world for the better.
• 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 opportunities.