Clinical Application Specialist II

Target PR Range: $45–$55/hr depending on experience.

About the role

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 in real-world data and analysis methods, developing data and statistical analysis plans, executing data analysis with minimal technical oversight, and independently delivering results and findings to epidemiologists or cross-functional members.

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 manage data/statistical analysis plans and analyze specific epidemiology databases to prepare relevant tables and figures.
• Clearly communicate 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.
• Convert sales data to exposure data, overall and stratified by key factors (e.g., age groups, gender, indications) by leveraging 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.
• Conduct comprehensive literature reviews for analytics methodology and coding algorithms related to real-world data.

Requirements

• MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration, or related field. Ph.D. is preferred.
• 4–5 years of epidemiology and/or public health experience with a Master’s degree or 1–2 years of experience with a Ph.D. degree (required).
• 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.

Note: CO/NYC candidates might not be considered.