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 dat
- aGenerate and explain data-driven insights and predictive models based on the wide variety of healthcare dat
- aClean and prepare data for analysis, and generate data quality report
- sDesign and generate weekly/monthly operational reports to support different clinical program
- sCollaborate with operations and clinical teams to enhance member engagement and outcomes reportin
- gWork with data engineering team to automate essential data analysis processes and report
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Specific Skills/ Attribute
- s:Organized with good time management skil
- lsStrong problem solving and analytical skil
- lsExcellent interpersonal skil
- lsAbility to work well and flexibly i.e. autonomously, in small teams, and with a wide range of varying stakeholde
- rsAbility to see the big picture, whilst still maintaining a focus on detail and implementati
- onFlexibility and adaptability to respond to a rapidly changing environme
- ntStrong written and oral communications skil
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Qualificatio
- ns:5+ years of experience in statistics, statistical methods, data science and ML methodolog
- iesProficiency in Python, Jupyter Notebooks is required and SQL is prefer
- redMaster's/PhD degree in biostatistics/healthcare data analytics is a p
- lusProficiency in ML & deep learning technologies like py-torch, xg-boost, sk-learn is requi
- redExperience with a visualization tool like Matplotlib, Bokeh, Streamlit is prefer
- redAbility to generate and improve predictive models through analysis of model accuracy in pract
- iceDemonstrated ability to stay up to date with population health cost savings literat
- ureFamiliarity with standard codes and code systems used in healthcare, e.g., ICD10, CPT, NDC, e
- tc.Must have the ability to express complex statistical concepts and technical information to researchers and non-scientific audien
- cesKnowledge of standard quality measures used regulatory reporting a strong p
lus