This position calls for a talented Data Scientist who can compellingly answer business questions by quantifying our impact and spotting opportunities. It’s not a back-office role. Instead, this position is split between delivering robust and accurate client-facing analyses and working closely with our care teams to streamline their jobs. If you’ve built propensity models, risk scores, ensemble methods, and have played with deep learning packages, you check our technical boxes. What sets the best candidates apart is a knowledge of healthcare, a thirst to learn, and great communication skills. You need to understand the business application, scout out an answer (with custom code or buying a tool), and teach what you’ve learned to a diverse set of audiences.

Location...

This is a 100% remote position in the United States. Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

What you'll do...

• Lead projects to deliver analytics for risk-based contracts, including understanding and predicting healthcare costs, utilization, and outcomes.
• Collaborate with cross-functional teams, including clinical operations, finance, and technology to develop actionable insights and recommendations that drive value-based care initiatives.
• Takes ownership of analyses including storyboarding the findings for clients
• Engage with external stakeholders such as payers and providers to understand their data and analytics needs as it relates to risk-based contracts.
• Stay updated with the latest advancements in AI applications and how these are being applied to healthcare and help their champion adoption within Mindoula.
• Mentor and guide data analysts in the team, fostering a culture of knowledge sharing and continuous learning.
• Ability to juggle multiple projects in a fast-paced startup environment. You need to be comfortable solving problems enough to answer while minimizing the time to ship.
• Writes accurate organized code that others on the team can understand and productize.

What you'll need...

• Master’s degree or PhD in Statistics, Computer Science, Data Science, Epidemiology or a related field.
• Minimum of 5 years of experience in data science, with at least 2 years of experience in healthcare analytics.
• Healthcare claims data experience required
• Strong proficiency in predictive modeling and some experience with machine learning including applications of pre-trained models
• Strong programming skills in Python and/or R
• Experience with value-based contracts and commercial risk-scores such as Milliman, RAF, or DxCG is strongly preferred
• Exceptional communication skills with the ability to translate complex analytical concepts to non-technical stakeholders.