Data Science Team Lead

Aidoc is a global leader in clinical AI, helping physicians quickly identify and diagnose urgent cases to improve patient outcomes. Our platform analyzes and aggregates medical data, enabling care teams to work seamlessly with a continued focus on the patient.

Our solutions are used in over 2,000 hospitals worldwide, including leading U.S. health systems. Aidoc has raised over $350M from top-tier VCs and was named one of TIME's 50 most genius companies.

As an Aidocee, you'll join a fast-paced, mission-driven culture where people care deeply about impact, collaboration, and product excellence. You'll work on real, mission-critical medical architecture with a high level of independence and influence. We believe in building strong teams by supporting both professional growth and personal well-being-ensuring everyone feels appreciated, empowered, and part of something meaningful.

We're looking for a hands-on Team Lead to drive high-impact algorithmic projects with a focus on impacting patient lives through a combination of algorithmic and engineering work . You'll lead initiatives end-to-end-from problem framing and data strategy to modeling, evaluation, and delivery-tuning complex challenges into effective, production-ready solutions. The work spans both structured and unstructured data, across diverse modalities and use cases such as NLP, tabular modeling, and emerging agentic systems. You'll work closely with cross-functional partners, guide technical decisions, and help strengthen an environment that combines collaboration, clarity, and curiosity with genuine care for people's growth-help strengthen a culture that values clarity, curiosity, and growth-balancing professional development with genuine care for people

• Drive algorithmic and impactful engineering projects from concept to delivery-framing the problem, defining data needs, setting goals, and driving execution across the full lifecycle.
• Stay hands-on in algorithm development and technical problem-solving, providing direction through examples and active involvement where impact matters most
• Guide and support people's growth, fostering a culture of curiosity, clarity, and accountability where engineers feel empowered and supported professionally and personally.
• Collaborate cross-functionally with Product, Clinical, and Dev teams to align priorities, translate requirements into actionable plans, and ensure smooth integration into production 
• Ensure quality and robustness through disciplined evaluation, documentation, and reproducibility-balancing speed with reliability
• Shape direction and execution, connecting project goals with broader business and clinical objectives
• Stay curious and forward-looking, exploring emerging ML and AI methods and adopting those that bring measurable improvement to how we build and deliver algorithms.

• Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, or a related field
• 5+ years of experience applying AI/ML methods to real-world problems, across structured and unstructured data.
• 2–3+ years leading teams, providing technical direction, mentoring, and ensuring high-quality delivery.
• Proven ability to design and implement robust, efficient algorithms with a strong software-engineering mindset
• Hands-on proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, or similar), with solid understanding of software best practices
• Strong analytical and problem-solving skills; capable of framing open-ended problems and guiding others to clear, data-driven solutions
• Excellent communication and collaboration skills; able to convey complex ideas clearly to technical and non-technical partners
• Experience with NLP, structured-data modeling, or other applied ML domains, demonstrating versatility in algorithmic thinking.
• Stay current with advances in ML and related technologies, continuously improving methods and applying relevant techniques to real-world challenges.
• Experience working with healthcare, clinical, or regulated data environments - a plus