Staff Data Scientist (Machine Learning Engineer)

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.

This is a hybrid role combining Data Science and Software Engineering. If you enjoy driving the development and deployment of data science products such as models, recommenders, databases in collaboration with 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 engineering skills to augment our automated Atropos Health workbench that generates rapid and reliable RWE. 

Responsibilities

• Work with Product, Clinical and Engineering stakeholder teams to understand product and clinical requirements and deliver product 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

Minimum Qualifications

• 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

• Additional skills in epidemiology, LLM’s, RWE, causal inference, recommenders, NLP, data engineering, MLOps or DevOps will be a plus

• Knowledge of relevant medical coding terminology (e.g., ICD, CPT, LOINC, RxNORM) is a plus

• Masters or PhD training in a quantitative field is a plus

Reporting

The Staff Data Scientist (Machine Learning Engineer) reports directly to the President, Neil Sanghavi.

Location

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.

Our Core Values

• 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.

Perks

•  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.