Clinical Pharmacist (Advanced Analytics)

Centene Corporation

1d•Remote

About The Position

Centene is seeking a Clinical Pharmacist with advanced analytics capabilities to join their Medical Management/Health Services team. This role involves applying clinical pharmacy expertise to identify cost-saving opportunities, analyze healthcare data using Python and SQL, and develop automated analytics solutions. The position requires working with large datasets, collaborating with analytics engineers, and presenting findings to various stakeholders. The goal is to leverage clinical pharmacy knowledge and informatics to improve quality of care, health outcomes, and utilization efficiency through data-driven strategies.

Requirements

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.
Bachelor's Degree or advanced degree (PharmD., M.S) in Pharmacy.
3+ years of clinical pharmacy (Pharmacist) experience in managed care, health plan, hospital, or related setting preferred
1+ years Advanced analytical skillset, including hands on experience with SQL, Python, and Power BI to analyze healthcare data and translate insights into scalable, decision ready outputs required
1+ years of experience partnering with technical or analytics teams (or independently building solutions) to move data from source systems into analytical environments required
Current US state Pharmacist License with no restrictions required

Nice To Haves

Experience with Power BI or similar data visualization tools (preferred).
Experience with modern data platforms such as Snowflake or cloud‑based analytics environments (preferred).
1+ years exposure to data engineering concepts (ETL/ELT, data modeling, automation), preferred
1+ years of experience supporting strategic initiatives that link clinical insights to financial, or utilization outcomes, preferred
1+ years of experience with Snowflake or similar cloud data platforms, preferred

Responsibilities

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.
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.
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 mitigation strategies.
Provide clinical oversight and validation of analytical outputs to ensure findings are clinically sound, evidence‑based, and actionable.
Contribute to the continuous improvement of informatics capabilities by identifying opportunities to enhance data quality, automation, reproducibility, and scalability of clinical analytics solutions.
Develop and deliver analytically rigorous dashboards, reports, and visualizations (e.g., Power BI) that clearly communicate trends, opportunities, outcomes, and value to clinical, operational, and executive stakeholders.
Partner cross‑functionally with analytics, data engineering, IT, and business teams to ensure accurate data interpretation, appropriate clinical context, and alignment with enterprise data standards and governance practices.
Performs other duties as assigned.
Complies with all policies and standards.