Clinical Informatics Specialist

The Department of Medicine is seeking a highly motivated and collaborative Clinical Informatics Specialist to join the Program in Pharmacoepidemiology within the Division of General Internal Medicine. This exciting opportunity offers the chance to contribute to innovative, high-impact research focused on medication safety, effectiveness, and healthcare outcomes using large-scale healthcare claims and electronic health record data.

The ideal candidate will bring strong analytical and programming skills, experience working with complex healthcare datasets, and a passion for leveraging real-world data to improve patient care and inform healthcare decision-making. Responsibilities include managing and analyzing large datasets, developing analytic files for observational research studies, supporting advanced statistical analyses, and collaborating closely with multidisciplinary teams of clinicians, epidemiologists, biostatisticians, and researchers to generate evidence that shapes healthcare policy, regulatory decisions, and clinical practice.

Annual range: $95,400-$208,300

• 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.