• Master’s degree (PhD preferred) In Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field.
• Experience with administrative health care claims data required, i.e., data management, cleaning, and linkage of large healthcare datasets (e.g., Medicare, Medicaid, commercial insurance datasets)
• Highly proficient in data management and statistical programming languages (SAS, SQL, R, STATA, or Python)
• Solid understanding of pharmacoepidemiologic study designs and causal inference methods for observational data analysis
• Familiarity with drug coding systems (NDC, ATC), diagnosis and procedure codes (ICD, CPT)
• Exceptional written and verbal communications skills for scientific reporting and collaboration
• 3 years Demonstrated experience with statistical analysis and programming for research. At least three years of experience required.
• Ability to work effectively as a member of a multidisciplinary research team
• Ability to collaborate effectively with other programmers/analysts working with other programming languages

Preferred:

• More than 5yrs of experience with programming in a health care environment preferred.