Head of Data Science and Machine Learning

Atropos Health is the developer of GENEVA™ OS , the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improving individual patient outcomes with data-driven care, expediting research that advances the field of medicine, and more. We aim to transform healthcare with timely, relevant real-world evidence.

Atropos Health integrates cutting-edge AI, machine learning, and validated epidemiological methods into its products and we’re looking for a leader to help accelerate that work. The Head of Data Science and Machine Learning  will be a key spokesperson for these innovations with our customers and the market, while also working internally with the product management, engineering, medical, and business teams. Lastly, as is the case with all technical leadership at Atropos, this is a player-coach role and we expect candidates to be comfortable rolling up their sleeves and writing code. 

• Develop the company’s strategy for data science and AI in collaboration with colleagues across Atropos.

• Deliver state-of-the-art innovations and measurable experience improvements across Atropos’s product lines in clinical research, care delivery, and life sciences solutions.

• Contribute code as a independent contributor (IC) to our analytics platform and develop software for our new products (e.g. ChatRWD) 

• Recruit, develop, and lead a team of AI, ML, and data science experts.

• Set and uphold the highest standards of scientific integrity and an ethical approach to the development and use of AI technologies in healthcare.

• Be an outstanding and collaborative leader and cultivate partnerships with customers and external industry and academic collaborators.

• 10+ years of progressive experience in machine learning, data science, AI, or related fields, with 3+ years of demonstrated leadership responsibilities.

• Graduate degree in Computer Science, Statistics, Data Science, Mathematics, Epidemiology, or a related field.

• Pragmatic leadership skills to drive execution in startup environments and a strong personal bias to action.

• Write and coach team on developing production-level code using technologies like Python, R, Git, Docker, etc.

• Comfort with deploying, and scaling analytical products in a cloud environment (e.g., AWS). 

• Experience working with products deployed in a clinical workflow.

• Relationships with life sciences and/or academic collaborators.

• Track record of high-quality publications and research accomplishments.

• Contributions to open source software

The Head of Data Science and Machine Learning reports directly to the President, Neil Sanghavi.

We are a remote first company! You must be currently authorized to work in the United States on a full-time basis. We cannot support visa sponsorship at this time.

• Bias to Action. We are driven by urgency and persistence, ensuring our actions contribute to the relentless pursuit of our mission.

• Intellectual Honesty. We are committed to the integrity of our work, seeking truth, and building transparent methodologies that go beyond industry norms.

• Compelled by Curiosity. We seek to solve the unknown, push boundaries, and do not accept the status quo.

• Impactful Innovation. We pioneer solutions that pursue equity and representation that have a transformative impact for our customers, users, and patients.

• Mindful Mentorship. We approach all interactions with an empathetic understanding, actively investing in the growth of each other and our customers.

•  Health & Wellness. Our benefit package includes employer paid Medical, Dental, Vision,  Life, STD, and LTD insurance.

• Parental Leave. We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months.

• Financial Wellness. Save for retirement through our 401k plan with Human Interest.

• Flexible Work Environment. We're a remote first company with a flexible vacation policy.

• Offsites. As a remote company we take time 2-3 times a year to get together in small teams and all together as a company.

At Atropos, we are committed to fostering a diverse, inclusive, and equitable workplace where every individual feels valued, respected, and empowered to contribute their unique perspectives and talents. We are an equal-opportunity employer that does not discriminate on the basis of race, religion, national origin, age, gender, gender identity or expression, sexual orientation, genetics, disability, pregnancy, veteran status, or any other legally protected status.