Job Description:

Sharecare is the leading digital health company that helps people – no matter where they are in their health journey – unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are all together better, at Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.

Job Summary:

Sharecare is seeking an experienced data science to join our population health analytics team. Sharecare creates a personalized experience and interventions to help members improve their health, based on its Health Risk Assessment tools, including the scientifically validated RealAge Test. You will help Sharecare measure the outcomes and value of its diverse array of wellness and health products by examining health, financial, utilization, lab, quality, and other data. Experience in both the wellness domain and payer space is preferred. The ideal candidate is creative and has a passion for using public/proprietary data and statistics to improve the quality of health products and measure the impact of their use on health outcomes.

Essential Job Functions:

• Explore various clinical data sources including medical and pharmacy claims, self-reported data, and lab data

• Generate and explain data-driven insights and predictive models based on the wide variety of healthcare data

• Clean and prepare data for analysis, and generate data quality reports

• Design and generate weekly/monthly operational reports to support different clinical programs

• Collaborate with operations and clinical teams to enhance member engagement and outcomes reporting

• Work with data engineering team to automate essential data analysis processes and reports

Specific Skills/ Attributes:

• Organized with good time management skills

• Strong problem solving and analytical skills

• Excellent interpersonal skills

• Ability to work well and flexibly i.e. autonomously, in small teams, and with a wide range of varying stakeholders

• Ability to see the big picture, whilst still maintaining a focus on detail and implementation

• Flexibility and adaptability to respond to a rapidly changing environment

• Strong written and oral communications skills

Qualifications:

• 5+ years of experience in statistics, statistical methods, data science and ML methodologies

• Proficiency in Python, Jupyter Notebooks is required and SQL is preferred

• Master's/PhD degree in biostatistics/healthcare data analytics is a plus

• Proficiency in ML & deep learning technologies like py-torch, xg-boost, sk-learn is required

• Experience with a visualization tool like Matplotlib, Bokeh, Streamlit is preferred

• Ability to generate and improve predictive models through analysis of model accuracy in practice

• Demonstrated ability to stay up to date with population health cost savings literature

• Familiarity with standard codes and code systems used in healthcare, e.g., ICD10, CPT, NDC, etc.

• Must have the ability to express complex statistical concepts and technical information to researchers and non-scientific audiences

• Knowledge of standard quality measures used regulatory reporting a strong plus

Sharecare and its subsidiaries are Equal Opportunity Employers and E-Verify users. Qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, sexual orientation, gender identity, religion, age, equal pay, disability, genetic information, protected veteran status, or other status protected under applicable law.

Sharecare is an Equal Opportunity Employer and doesn't discriminate on the basis of race, color, sex, national origin, sexual orientation, gender identity, religion, age, disability, genetic information, protected veteran status,or other non-merit factor.