Job Location: Durham, NC
Job Detail:
Fully-remote, 12-month contract assignment with Large Pharma
Job Description:
- The Contractor, Epidemiology Data Analytics is accountable to a real-world data and analytics leadership within the Global Epidemiology function in PPS. The role provides expertise of real-world data and analysis methods within PPS. Required to draw upon their experience to develop data/statistical analysis plan and execute on 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. 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. Immunology or oncology experience is preferred.
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