What are the responsibilities and job description for the Sr. Data Scientist position at The Cigna Group?
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Are you passionate about healthcare, machine learning, and predictive analytics and looking for an opportunity to strive to help make prescription drug costs predictable for the average American?
Job Description: The role will report to the Actuarial Analytics practice and will utilize various data tools to architect data science solutions within the Medicare market and PBM Health space. The role will be best suited for candidates with strong Machine Learning (ML), and data science background interest in working to help solve problems that will matrix and allow for development to understand the background in the Medicare Part D space to develop robust drug trends, clinical disease, and drug management solutions.
The role allows for deep dive into existing actuarial analyses for the drug landscape spanning governmental drug and medical programs.
What else will you be doing in this role?
Product Support / Development
Design, develop and deploy an interactive Tableau dashboard to display advanced analytics on prescription drug gaps and opportunities
Construct frameworks and deploy ML to analyze large amounts of health data to identify patterns and anomalies to identify clinical and disease management opportunities.
Utilize ML to identify patient comorbidities cohorts, extrapolate patient spending patterns, close information asymmetry gap, and create educational opportunities to demystify prescription drug coverage for beneficiaries.
Use ML methods to improve the speed and accuracy of beneficiary risk assessments for better segmenting risk profiles and identifying at-risk beneficiaries.
Perform financial analysis of proposed regulatory changes, and other program changes by CMS to determine the financial impact on various entities within the drug supply chain
Build analytics Minimum Viable Product (MVP) products and project management functions and facilitate effective pilot analytics improvement processes to accelerate and safeguard improvements.
Identify and develop the right talent for the team to deliver on our innovative analytics roadmap
Lead technology and cultural change in Data Science within the actuarial team and organization at large to deliver data-driven health insights
Cross-Functional Health Plan Sponsor Support
Advanced trend analytics
Medical Loss Ratio (MLR) / member profitability projections
Formulary Strategy
Clinical Analytics around prescription drugs pipeline products
Member risk score benchmark analysis
Assimilate macro and micro trends, develop benchmarks, and gather competitive intelligence to develop market competitive strategies
What do you need to be successful in this role?
Bachelor’s degree in mathematics, Statistics, Computer Science, or other quantitative fields strongly preferred
4 years of data science, ML, or predictive analytics experience
Pharmacy Benefit Manager (PBM), healthcare or pharmaceutical experience preferred
Understanding of fundamental health care and Medicare knowledge preferred
Proven capabilities in modeling, forecasting, and predictive analytics
Strong written and verbal communication and presentation skills
Ability to gather and analyze information to aid in the growth of existing businesses and the building of new businesses
Coding skills in either SQL / SAS required, Python / R other languages preferred
Understanding of structured data and ML models:
Experience with deep learning frameworks (like TensorFlow or PyTorch ) preferred
Industry or academic experience working on a range of ML problems.
Strong data science skills with a focus on building sound and scalable ML
A real passion for finding, analyzing, and incorporating the latest research, technologies, and techniques directly into a production environment.
Understanding of neural networks preferred
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
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