Head of Data Science and Machine Learning

August 7

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Atropos Health

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real world Data • Second opinion • Evidence based medicine • ai • healthcare

11 - 50

💰 Venture Round on 2023-09

Description

• 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 an 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.

Requirements

• 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).

Benefits

• 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.