Epidemiology programmer

This role is 100% remote

Job Description:
The Contractor in Data Analytics is accountable to a real-world data and analytics leader within the Global Epidemiology function in Clinical Sciences. The role provides expertise of real-world data and analysis methods within Clinical Sciences. Required to draw upon their experience to develop data/statistical analysis plans and execute data analysis with minimal technical oversight. Required to be able to independently deliver data analysis results and findings to epidemiologists or cross-functional members as necessary. This person should be able to do comprehensive literature review for real-world data methodology and coding algorithm. Provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.
Responsibilities:
Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures. Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data
Qualifications:
MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration, or related field. Ph.D. is preferred.
With 4-5 years of epidemiology and/or public health experience with a Master degree or 1-2 years of experience with a Ph.D. degree (must have). Pharmaceutical industry experience is preferred.
Proficient with SAS, SQL, R, or related statistical software or other data analysis tools for data analysis, modeling, and visualization.
Familiar with real-world data (e.g. health insurance claims, EMRs) concepts and structures. Extensive experience in manipulating and analyzing these databases is required.
Knowledge and experience in different therapeutic areas.