Pharmacy Outcomes Data Mangement Specialist Part-time

• Perform complex data analyses to identify trends, patterns, and anomalies in prescribing and dispensing patterns and pharmacy operations.

• Develop predictive models to forecast drug demand, patient medication adherence, and potential adverse drug events.

• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses.

• Create payor and PBM data models to ensure payments received align with contract terms.

• Integrate data from various sources, including electronic health records (EHR), claims data, social determinants of health, and other relevant datasets.

• Propose and implement innovative solutions to improve data analysis and reporting.

• Analyze pharmacy data, including prescription information, patient adherence metrics, and healthcare outcomes.

• Use statistical and machine learning techniques to uncover trends and insights to identify patients who are at risk of non-adherence to their medication regimens.

• Apply machine learning techniques to personalize medication regimens.

• Estimating future demand for medications to optimize inventory management.

• Tailoring medication plans based on individual patient characteristics and predicted responses to treatments.

• Forecasting pharmacy and healthcare resource needs, including staffing and budgeting.

• Build predictive models to forecast drug spending, identify potential cost savings, and assess the impact of PBM programs on healthcare outcomes.

• Identifying the types of data sets, such as patient information, medication details, prescription records, inventory levels, and transaction histories.

• Designing tables with appropriate columns and data types to accurately represent different data elements.

• Establishing relationships between tables (e.g., linking patient tables to prescription tables).

• Regularly update and maintain the tables.

• Creating mechanisms for entering data into the tables.

• Design and implement decision support systems that aid pharmacists and healthcare providers in making evidence-based decisions.

• Collaborate with clinical teams to integrate patient data and clinical guidelines into decision-making processes.

Minimum Requirements

• High school diploma or equivalent required.

• Bachelor's or master's degree, preferably in Pharmacy or Data Science OR previous experience in data analytics and business strategy, managing referral processes, or working with 340B program referrals within a healthcare organization in lieu of a degree.

• Required to obtain 340B certification within 1 year.

• Required to attend a 340B conference annually based on business need.

• Previous experience in data analytics and business strategy, managing referral processes, or working with 340B program referrals within a healthcare organization.

• Minimum of 3 - 5 years of job-related experience.

• Strong understanding of pharmacy business and/or data analytics preferred.

• Excellent analytical skills with the ability to interpret complex data, identify trends, and provide data-driven insights and recommendations.

• This position is non-exempt, part-time, 20 hours per week.