Head of Data Science and Machine Learning, Atropos Health

• 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)

Desirable

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