Clinical Application Specialist II / RWE data analyst

Contractor role supporting the Global Epidemiology function in Clinical Sciences, reporting to a real-world data and analytics leader. Remote position.

About the role

Provides expertise in real-world data and analysis methods within Clinical Sciences. Develops data and statistical analysis plans, executes data analysis with minimal oversight, and delivers results to epidemiologists and cross-functional teams. Conducts comprehensive literature reviews for real-world data methodology and coding algorithms, and offers insights into epidemiology study concepts and protocols.

Responsibilities

• Apply general to advanced epidemiology research techniques to address drug safety questions.
• Identify and utilize public and private epidemiology databases and resources for data analysis.
• Independently manage data and statistical analysis plans, analyze epidemiology databases, and prepare tables and figures. Communicate results clearly to epidemiologists and cross-functional members.
• Contribute to the design of observational studies, including registries, and critically appraise study protocols through inter-departmental and cross-functional committees.
• Convert sales data to exposure data, stratified by factors such as age groups, gender, and indications using real-world data.
• Provide epidemiology data for core safety and regulatory documents, including RMPs, PSURs, and Briefing Books.
• Use 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 a related field. Ph.D. preferred.
• 4-5 years of epidemiology and/or public health experience with a Master’s degree, or 1-2 years with a Ph.D. Pharmaceutical industry experience is preferred.
• Proficiency with SAS, SQL, R, or related statistical software for data analysis, modeling, and visualization.
• Familiarity with real-world data concepts and structures (e.g., health insurance claims, EMRs), with extensive experience manipulating and analyzing these databases.
• Knowledge and experience in different therapeutic areas.

Skills

• SAS
• R Language

Pay

$50.00 - $60.23 per hour

Benefits

• Medical, prescription, dental, and vision insurance
• AD&D and life insurance
• Short-term disability
• 401K plan