Data Scientist

Tel Aviv · Full-time · Reports to CTO

About the Position

Longevity AI is on a mission to give everyone more healthy & happy years. Our team has built a comprehensive, medical-grade, evidence-based operating system: for medical teams, the Longevity Dashboard predicts & prevents the chronic diseases of aging — responsible for over 90% of our unhealthy years. For members, the Longevity App generates personalized health &  lifestyle plans that adapt in real time, suggesting small nudges with the highest potential impact on their health.

Our Tel Aviv team is looking for a Data Science Team Lead to lead the efforts behind our AI model. A key part of it is based on the ongoing research with Israel's two largest HMOs, Maccabi and Clalit— the world's largest longevity research program, spanning over 1.6 million health records and decades of longitudinal data.

Working closely with our physicians, scientists, data engineers, movement and nutrition experts, you'll set the technical direction for this research: designing and running data experiments that optimize clinical predictions of age-related disease, and translating those findings into prevention strategies our medical team and members can act on. You will also lead the development of Florence - our main agent. Based on the first modern nurse - Florence Nightingale that saved millions of lives. 

This is a  high-conviction high-ownership role. You'll be trusted to lead deep technical decisions, build the team, become part of the company’s leadership and represent our world-leading capabilities in conferences. 

We are looking for a leader. Passionate about delivering Longevity for All. 

What You'll Do

• Build the infrastructure that delivers healthy years to humanity. 

• Leading a talented multidisciplinary team and working closely with the company’s leadership, CTO and CEO. 

• Own end-to-end data science research on our HMO longitudinal datasets — from experiment design through clinical validation.

• Set technical direction and best practices for the data science function, lead other data scientists, engineers ,analysts and experts. 

• Turn messy, real-world medical data into rigorous, defensible clinical predictions — and communicate it to non-technical stakeholders. 

• Partner with data engineering on the data pipeline and with product on translating predictions into member-facing nudges.

• Bring modern AI tooling into the research workflow where it genuinely speeds things up — without compromising clinical rigor or data governance.

What We're Looking For (Must-Haves)

• 5+ years as a data scientist, including experience leading a team or a significant project with leading people to notable measurable results.

• 3+ years working with medical/health data.

• A track record of leading a significant health-related project to real, measurable outcomes.

• Excellent data-driven communicator — comfortable presenting findings to physicians and executives. 

• English - Fluent

Bonus Points

• Background in behavioral science / psychology — directly relevant, since our product is built on behavior-change “nudges,” not just prediction.

• Experience with causal inference / epidemiological methods (cohort studies, survival analysis) — standard for longitudinal, HMO-scale data.

• Understanding population health. 

• Hands-on comfort using AI agents and LLM tooling to accelerate the research workflow (e.g., agent-assisted feature engineering, literature review, pipeline QA) — a strong plus, evaluated in interview rather than a filter on the resume.

Nice to Have

• Tools: AWS, Git, Jira, Python

• MSc in Computer Science, Data Science, Biostatistics, or a related field