Senior Data Scientist

About the position

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. If you enjoy driving the development and deployment of data science products such as predictive models, recommenders, clinical databases in collaboration with the product and clinical teams, this position is for you. We are looking for versatile data scientists who continuously seek product innovation and can deploy solutions with strong technical skills to augment our automated Atropos Health workbench that generates rapid and reliable real-world evidence.

Responsibilities

• Work with Product, Clinical and Engineering stakeholder teams to understand product and clinical requirements and deliver solutions that balance technical rigor with practical application
• Test, productionalize and maintain data science products with software engineering best practices including code management and documentation
• Articulate and deconstruct complex projects into workable solutions and identify appropriate data and methods
• Practice good judgment and solicit information to make good and timely design decisions
• Manage and drive projects, working with stakeholders to address dependencies and gaps
• Solicit user feedback and propose opportunities for product innovation (e.g. to add new functionalities, improve model performance, automate processes)
• Stay abreast of research and conduct literature and empirical research to propose appropriate solutions while sidestepping less promising ones
• Excellent writing skills – you may be asked to contribute to our technical blogs

Requirements

• Degree in Clinical Informatics, Bioinformatics, CS, Engineering, Epidemiology, Statistics, or a quantitative discipline
• Experience manipulating large data sets and developing and deploying models onto production infrastructure
• Fluency with Python, R, SQL, git, Linux and cloud infrastructure (AWS and Docker). You have published a Python or R package before and are familiar with virtual environments
• Sufficiently knowledgeable about healthcare to understand product needs
• Excellent problem-solving, project management and team collaboration skills
• Flexible thinking: you know how to re-frame problems to find practical solutions

Nice-to-haves

• Additional skills in epidemiology, precision medicine, predictive modeling, using LLMs, RWE, causal inference, recommenders, NLP, data engineering, MLOps or DevOps
• Knowledge of relevant medical coding terminology (e.g., ICD, CPT, LOINC, RxNORM)
• Masters or PhD training in a quantitative field

Benefits

• Health Benefits: employer paid Medical, Dental, Vision, Life, STD, and LTD insurance, and FSA
• Parental Leave: up to twelve weeks of paid leave for new parents who have been at the company for 6+ months
• Financial Wellness: 401k plan with Human Interest
• Flexible Work Environment: remote first company with a flexible vacation policy
• Home Office Stipend: stipend to support remote office setup
• Offsites: 2-3 times a year to get together in small teams and all together as a company