Head of Data Science - Remote
United States - Remote
We're on a mission to scale personalized, coordinated care to everyone. Today, care coordination is a benefit available only to a select few, the most complex 1%-2% of patients, even though 60% of Americans live with at least one complex or chronic condition.
The result is health inequity - patients and their loved ones are left to fend for themselves in a confusing, highly fragmented health system. We are building disruptive technology that will cause a paradigm shift in virtual care.
We are backed by top-tier investors bridging both technology and healthcare including Maverick Ventures (investors in Cityblock, hims & hers, Devoted Health, One Medical). Find more info on our Series A here.
The Role
We’re looking for a founding data science leader. You will help us build a living, learning healthcare platform that integrates patient data from disparate sources, assists clinicians in care coordination, and unleashes the power of machine learning to enhance care pathways for patients facing significant health challenges.
Our data science team has access to hundreds of thousands of our patient interactions, EMR data, and outcomes. In this role, you will own our data science platform and build our CareBlocks Engine, a powerful model that predicts patient-specific personalized interventions to materially improve the patient’s quality of life and health outcomes.
Help us predict the ideal intervention for the 150,000 patients we serve today, and use the learnings to deliver personalized, highly effective interventions to the millions of patients we’ll serve in the future.
Requirements
- 7+ years algorithm development experience; 2+ years managing high-output data science teams working on ML algorithms
- Experience delivering predictive ML models in production using any or all of: EMR, NLP, claims, CCD, and structured + unstructured patient data.
- Firm knowledge of machine learning and experimentation techniques and tooling
- Ability to manage open-ended R&D timelines alongside definite product requirements
- Experience balancing the needs of data science and product teams to achieve a common objective: helping our patients live healthier lives
Bonus Points
- Early-stage start-up experience
- Interest and experience building data science thought leadership, ie by publishing whitepapers and submitting to peer-reviewed publications.
Why Apply🎉:
- Get in the early stage at an impactful company with extreme product market fit and exponential growth (we’re deployed at 80+ health systems across >25 states!)
- Actively transform healthcare outcomes by personalizing healthcare and solving real-world problems for millions of patients.
- Reporting to the CEO, you are trusted to take complete autonomy over the data science side of the company, with a great opportunity to establish thought leadership in healthcare data science.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Machine Learning ML models NLP R R&D
Perks/benefits: Career development Startup environment
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