🌟 YOUR ROLE & RESPONSIBILITIES —

As we continue to scale and shape the future of healthcare, we are seeking an exceptional Lead Data Scientist to spearhead cutting-edge research and development efforts within our Data Science team. This is a high-impact leadership role where your work will directly influence our AI strategy, product development, and clinical value — driving innovation that can fundamentally transform how health data is understood and used.

As a Lead Data Scientist, you will:

• Lead the design and development of state-of-the-art AI architectures tailored to longitudinal biomedical data, with a strong emphasis on laboratory test results and clinical workflows.

• Drive the creation of reusable, pretrained models on lab data that enable transfer learning across a wide range of clinical applications (e.g., prediction, imputation, decision support).

• Establish rigorous evaluation frameworks and benchmarks to assess model performance using clinically relevant metrics and ensure robustness and generalizability.

• Set the scientific direction for AI initiatives, staying at the forefront of the latest advancements in machine learning and identifying emerging trends with potential applications in health.

• Collaborate closely with cross-functional teams, including clinicians, biologists, engineers, and product stakeholders, to ensure alignment with clinical impact and real-world utility.

• Mentor and technically guide junior and senior team members, promoting knowledge sharing, code quality, and research excellence across the team.

• Represent the company at top-tier conferences, contributing actively to the AI and health research communities and establishing the company as a thought leader in this space.

• Publish impactful research in major scientific venues (e.g., NeurIPS, ICML, ICLR, Nature Digital Medicine) and contribute to our scientific credibility and visibility.

👤 WHO YOU ARE

We’re looking for a mission-driven, scientifically rigorous, and collaborative individual with the following qualifications:

• PhD or Master’s in Computer Science, Machine Learning, Applied Mathematics, Engineering, or a related field.

• At least 5 years of hands-on experience in AI/ML research, including significant time spent in leadership or strategic roles.

• Deep expertise in modern machine learning techniques, including neural networks, representation learning, and probabilistic modeling.

• Proven track record in developing and deploying models on real-world structured or temporal datasets; healthcare or MedTech experience is a strong plus.

• Strong proficiency in Python (or similar languages), including standard ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).

• Demonstrated ability to lead complex projects, balance scientific rigor with product needs, and deliver results in a fast-paced environment.

• Exceptional communication skills — able to clearly articulate complex technical concepts to both scientific and non-technical audiences.

• Passion for mentoring and team development; you enjoy elevating others and building a culture of continuous learning and innovation.

1. Screening Call – An initial conversation with the hiring manager to understand your background and see if there’s a good fit.

2. Technical Interview – A discussion with our team to review a take-home test you will do, and dive deeper into your expertise.

3. Cultural Fit Interviews – Two interviews to ensure alignment with our values and team dynamics.

4. CEO Interview – A conversation with our CEO