The Role:

Data Scientists at Grand Rounds Health work on problems that are core to the company’s mission. Important goals include developing systems and models to identify the highest quality doctors in the country as well as methodologies to uncover the subtle differences between each physician’s clinical expertise. Additionally, patient-level modeling allows us to understand the specific healthcare needs of every person. With a high fidelity understanding of both patients and physicians we are able to route patients to both appropriate and high quality care.

In addition to developing the company’s core technologies, data scientists provide decision support analysis for many teams across the organization including product development, sales, marketing, and strategy. Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems.

This particular role will focus on contributing robust code to our machine learning platform in order to support our modeling of clinical outcomes. You’ll contribute to a production Python codebase and develop models in challenging datasets. We regularly deal with class imbalance, noisy data, huge feature sets, and balancing advanced solutions with interpretable results. We write production code that is tested and maintainable, and look for machine learning implementations that balance cutting edge solutions with maintainability and simplicity. This role will use insurance claims and other data sources to help identify members’ needs, match members to top providers, and determine which providers have the experience in particular domains.

Example Projects include:

• Predict a provider’s sub-specialization. A member’s care can be greatly enhanced if a clinician is particularly skilled in the treatment of specific conditions. For example, some neurologists might specialize in treating migraines, while others are generalists. While we can easily tell that a provider is a neurologist, we need to apply statistical techniques to insurance claims to infer their more nuanced expertise. Work like this helps us recommend the ideal physicians to meet our members’ needs, whether those be general or highly specialized.




• Behavioral Health (BH) provider quality modeling. Unfortunately, not all providers are equal. Due to differences in judgement, training, and prior experience we find that there is a huge range in the clinical outcomes they can drive. Further, as different providers have different expertise, it is a non-trivial problem to measure and predict which patients are best treated by which providers. Grand Rounds Health is a trusted source in the field of measuring clinical quality, and we hope to further extend our tooling and modeling expertise to additional aspects of BH. Instead of just going to a generic in-network provider, this effort will help route our members to providers with a proven track record in the specific area of their need. 

Responsibilities:

• Help maintain our clinical measurement and modeling tools
• Train and improve clinical quality models
• Lead and develop projects from end-to-end encompassing planning, design, technical implementation, debugging, roll-out to Product & Engineering, testing, and iteration
• Operate at level of sophistication in statistics, machine learning, or computer science that is publication-worthy
• Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering
• Evaluate and experiment with new technologies and tools prior to wider adoption by the team
• Work closely with analysts, data scientists, product managers, clinicians, and engineers

Qualifications:

• Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
• Business intuition and product sense that help you identify the most impactful projects to work on to address current and future business needs
• BS with 7+ years or MS with 5+ years or PhD with 2+ years of experience. Degree(s) should be in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Math, a quantitative social science
• Work experience on a team handling complex Data Science and Engineering projects
• Experience with SQL relational databases as well as big data
• Required: Python, SQL, linux shell scripting 
• Prior experience with Amazon Web Services or Google Cloud Platform
• Bonus Points for: background in Behavioral Health or Healthtech, Pyspark experience

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About Grand Rounds Health, Doctor On Demand and Included Health:

Grand Rounds Health, Doctor On Demand and Included Health merged in 2021 to form the first of its kind integrated virtual care company to raise the standard of healthcare. Our personalized, longitudinal care services include primary care, specialty care, integrated behavioral health, everyday and urgent care, chronic condition management and prevention and 24/7 triage. We get members to the right care, at the right time through ongoing clinical navigation, expert medical opinions and care coordination.

Partnering with leading employers and health plans, we deliver unparalleled, end-to-end care. Our combined nationwide practice of dedicated clinicians and innovative data science and technology platforms provide better care experiences, better member satisfaction, and better outcomes and cost savings for our nearly 100 million covered lives across commercial, Medicare and Medicaid. 

Headquartered in San Francisco, the combined company has been recognized as a 2020 UCSF Digital Health Award winner for Employer Wellness and 2021 Best Workplaces in Healthcare and Biopharma™ by Great Place to Work and Fortune. Learn more at www.grandrounds.com and www.doctorondemand.com.

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Grand Rounds Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Grand Rounds Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.