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?
This role will report to the Actuarial Analytics practice and will utilize various data tools to architect data science solutions within the Medicare market and the PBM Health space. The role will be best suited for candidates with strong Machine Learning (ML) and data science background as well as an 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.
This role allows for deep dive into existing actuarial analyses for the drug landscape spanning governmental drug and medical programs.
Product Support & Development
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
Client 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
Qualifications
Bachelor’s degree in Mathematics, Statistics, Computer Science or other quantitative fields strongly preferred
4+ years of Data Science, Machine Learning, Predictive Analytics or related 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 Machine Learning Models:
Experience with deep learning frameworks (like TensorFlow or PyTorch ) preferred
Industry or academic experience working on a range of Machine Learning problems.
Strong data science skills with a focus on building sound and scalable Machine Learning
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.For this position, we anticipate offering an annual salary of 95,300 - 158,900 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.