Manager, Clinical Informatics & Analytics, Women's Health & Genomics

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
* This remote role can be performed in any US time zone, however supporting PST business hours is preferred.
* Position Summary The CVS Health Women's Health and Genomics team is part of the Enterprise Medical Affairs organization group responsible for advancing the highest clinical quality standards, increasing access to care, improving patient outcomes and reducing health care costs across the enterprise. We deliver effective and efficient solutions that span a broad range of clinical priorities and initiatives.

As Manager, Clinical Informatics & Analytics, on the Enterprise Women's Health and Genomics Team, you will be responsible for advanced analytics, clinical informatics, modeling of clinical and claims data, and hypothesis-driven approaches to generate actionable, customer-centric insights. These insights will help operationalize the strategy and drive growth, ensure cost-effectiveness, improve health outcomes, and expand access to healthcare across all CVS Health businesses.

Your work will also inform financial reporting to enterprise business partners.

This role aligned with a Sr. Decision Scientist position will also help support opportunities to develop and deploy AI/ML solutions for Women's Health & Genomics operations with a focus on improving workflows, administrative efficiencies, quality, cost, and  this role, you will support the team's Data Scientist lead with the following:

Analyze claims, utilization, and clinical data to inform strategic initiatives and identify healthcare gaps and opportunities

Explore structured and unstructured clinical datasets to uncover patterns to generate structured, actionable downstream analytics, and predictive modeling

Use Business Intelligence (BI) tools and reporting platforms (Tableau, Power BI, SQL, SAS)
Develop operational reports and dashboards

Cross-functional partnership to identify needs, mitigate risk, and drive alignment

Serve as a SME for analytics workflows and with data governance

Partner with enterprise AI, data science, and technology teams under enterprise governance to deploy scalable AI solutions into production workflows

Apply and operationalize responsible AI principles to automate analytics workflows, improve reporting efficiency, and accelerate insight generation

Essential

Qualifications:

5+ years' experience in healthcare analytics, finance, or strategy with 2+ years in data science, machine learning (ML), or applied Natural Language Processing (NLP)
Experience in clinical analytics environment (preferably relative to women's health and genomics)
Knowledge of clinical diagnostic and billing coding systems and terminologies (ICD-10, CPT, etc.)Strong knowledge of reimbursement models (FFS and value-based care) and claims-based analytics

Advanced BI and statistical analysis skills with experience in ML platforms

Experience with PHI handling, compliant with privacy and security laws: HIPAA, etc.

Proven ability to be proactive, creative, and nimble in their approach to enable success in a fast-paced and dynamic environment

Ability to simultaneously manage multiple projects and initiatives across a range of topic areas Willingness to work within matrixed teams to drive innovation and value but also to continuously adapt as required

Preferred Qualifications:

Proficiency in Python and SQL for working with large-scale healthcare datasetsTechnical
- Aetna Applications/Enterprise Data Warehouse/2-5 Years/Power User Technical
- Data visualization software (ex. Thought Spot, Tableau)

Education:

Required:

Bachelor's degree in health informatics, biostatistics, computer science, data science mathematics, biomedical informatics, or related-or an equivalent combination of formal education and experience

Preferred:
Master's…