Clinical Pharmacist (Advanced Analytics)

You could be the one who changes everything for our 28 million members as a clinical professional on our Medical Management/Health Services team. Centene is a diversified, national organization offering competitive benefits including a fresh perspective on workplace flexibility.
 

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Clinical Pharmacist (Advanced Analytics) - Python, SQL & Power BI with Advanced Analytics and Automation.

Job Specific Duties:

• Apply clinical pharmacy expertise to identify potential cost‑savings opportunities based on guidelines, literature, utilization patterns, and site‑of‑care considerations.

• Attend and actively participate in clinically focused meetings, discussions, and workgroups.

• Review clinical guidelines, drug compendia, and published studies to inform analytical hypotheses.

• Use Python and SQL to explore, analyze, and validate data related to clinical and financial opportunities.

• Leverage and extend existing automated data pipelines and analytics workflows.

• Work with large healthcare datasets, including medical claims, pharmacy claims, member eligibility, and encounters data.

• Partner with analytics engineers to translate clinical concepts into scalable, automated analytics solutions.

• Build and maintain analytical outputs and visualizations (e.g., Power BI) to communicate findings to stakeholders.

• Present insights and recommendations clearly to clinical, business, and leadership audiences.

• Collaborate closely with team members to share knowledge, improve processes, and provide coverage across initiatives.

Key Skills, Capabilities and Experience:

• Active PharmD with strong clinical pharmacy training and experience.

• Advanced proficiency in Python for data analysis and automation.

• Advanced proficiency in SQL for querying and analyzing large datasets.

• Demonstrated ability to combine clinical judgment with data‑driven analysis.

• Experience working with healthcare data such as medical claims, pharmacy claims, eligibility, or encounters.

• Strong analytical thinking and problem‑solving skills in ambiguous problem spaces.

• Ability to communicate complex analytical findings clearly to non‑technical audiences.

• Experience with Power BI or similar data visualization tools (preferred).

• Experience with modern data platforms such as Snowflake or cloud‑based analytics environments (preferred).

Position Purpose:

• Leverage clinical pharmacy expertise and informatics capabilities to inform, design, and operationalize data‑driven strategies that improve quality of care, health outcomes, and utilization efficiency. Serve as a clinical subject‑matter expert who translates emerging evidence, clinical insights, and business priorities into scalable analytical solutions by engineering automated data pipelines, integrating internal and external data sources, and delivering decision‑ready insights through Power BI or other visualization platforms to demonstrate clinical impact and financial value.

• Serve as a clinical pharmacy subject‑matter expert, engaging in complex clinical discussions and critically evaluating emerging literature to inform population‑level strategies, program design, and clinical interventions.

• Translate clinical concepts, quality measures, and utilization drivers into analytical frameworks that support scalable, data‑driven decision‑making across pharmacy and broader healthcare initiatives.

• Design, build, and maintain automated data pipelines by integrating multiple internal and external data sources to support clinical analytics, performance monitoring, and program evaluation.

• Support the development and evaluation of clinical programs and initiatives by linking clinical insights to quality, utilization, and financial outcomes, including identification of savings opportunities and risk mitiga