Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive, and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.Why CVS-Aetna?Do things that matter. Diabetes, congestive heart failure, COPD, back pain, asthma, pulmonary fibrosis, chronic kidney disease, Alzheimer's, multiple sclerosis, cancer... everyone knows someone affected by these chronic conditions. Our goal is to decrease cost and improve health for members with chronic disease. We do this by using data science and advanced analytics (e.g., condition-specific predictive models and clinical data mining) to improve their care journeys and outcomes, and bend the business case to favor the right members getting the right interventions at the right time. Mission aligned to improve health. With +9,900 stores, >1,100 minute clinics, 1,100 health hubs, and millions of American insured lives, more than 80% of Americans live within 5 miles of a CVS. Together CVS-Aetna is an unparalleled platform to make a significant impact in healthcare in the US and beyond. https://cvshealth.com/about/facts-and-company-informationWe have actual big data. The combined data assets of CVS and Aetna are massive. Claims. Pharmacy. Health care records. Commercial store and transactional data. Challenge yourself to innovate in ways that others simply cannot. An elite team. Youll be joining a team of MDs, PhDs, MBAs, and MSc from top tier universities and industries that bring their clinical, technical, and economic experience to bear on some of the toughest targets in healthcare chronic disease. Who are we looking for? Our groups core competency is data science. However, were looking for people with additional talent and experience in 3 key spheres. Healthcare data wizards. These magical folks help translate clinical hypotheses into data and interventions. Were for data scientists with deep experience working with claims/healthcare data particularly those that have an understanding of its implications, and its scientific and/or clinical value. Client-service orientated chimeras. You must wear a lot of hats to make a product work. You excel in translating business and stakeholder needs into data science direction, and vice versa. You have great interpersonal skills and an ability to reduce, and then present, complex business/data science concepts into digestible components. You care deeply about credible measurement and experimental design, and you are old hat at developing business cases and presenting to executive leadership. Research and Development data scientists. You have deep experience architecting and evaluating cutting edge mechanistic and empirical models. They need to have deep experience coding and developing pipelines, in coordination with our other spheres and our data engineering colleagues.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
The complex chronic care group within clinical analytics employs cutting-edge ML, signal analysis, and time-series modeling to move the needle on healthcare using claims, commercial pharmacy, and front-end store data. As a principal data scientist supporting a portfolio of chronic disease oriented internal products, you spike hard in both client-service and research and development spheres. Specifically, you: Are an expert (+5 years) in experimental design, causal and empirical modeling methods, model explainers, and healthcare data, andHave 5 or more years of technical data science leadership, focusing on application of ML to large datasets for healthcare or similar applications, andHave deep (+3 years) clinical and research understanding of chronic diseases and their and associated disorders and comorbidities, andHave deep (+2 years) technical experience in healthcare business case development, and med cost savings estimation, andHave strong (+2 years) consultatory, clinical and commercial stakeholder management, and leadership skills, andAre passionate about helping patients by integrating data science research into application. You must be able to work within a complex storage and compute environment in close collaboration with engineers (i.e., youre expert in git, bash, and have more than basic Linux sys admin skills). You must be proficient in python and/or R. Minimum qualifications:MSc with significant experience. Preferred qualifications:MD and/or PhD in a technical field or equivalent practical experience (e.g., PhD in machine learning, computer science, or statistics and modeling heavy engineering field (chemistry and bioengineering)). Relevant experience to the position, such as post-doctoral roles, a proven track record of publications and developed models/software.A real passion for ML and experimental design. A real passion for patients.An understanding of healthcare claims data.
Please review required qualifications above
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.