Job Details

Job Description:

• The Contractor, Epidemiology Data Analytics, is accountable for real-world data analytics in oncology within the Global Epidemiology function with Clinical Sciences at Client, Inc.
• Major responsibilities include a) contributing to data analysis plan documentation and management and systematic programming approach to derive clinical variables and outcomes from real-world data; b) operationalizing relevant clinical variables and measures with minimal technical oversight; c) preparing relevant tables and figures and contributing to the interpretation of results; d) understanding strengths and weaknesses of specific databases; e) delivering data analysis results and findings to epidemiologists or cross-functional members as necessary.
• This person should be able to do comprehensive literature reviews for real-world data methodology and coding algorithms, and provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.

• Understand general to advanced epidemiology research techniques and apply appropriate research methods to answer research questions relating to drug safety.
• Perform SAS programming at an advanced level to operationalize clinical concepts and measures in oncology.
• Contribute to the design of observational studies using real-world data through data exploration.
• Document and manage data analysis plan and analyze specific epidemiology databases to prepare results in relevant tables, figures, and visualizations.
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data.
• Communicate with RWD vendors to coordinate questions for technical support on analytic and data quality issues for RWD sources that are in-licensed by Client.
• ct as a knowledge developer, creating a repository of best practices around RWD, establish design principles and standards to ensure consistency across analytical work projects.
• nticipate and communicate potential issues that could impact timelines or quality and propose solutions to mitigate these risks.

• MPH or MS degree in Epidemiology, biostatistics 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.
• SAS Advanced Programming certificate is preferred.
• Familiar with real-world data (e.g. oncology EMRs, health insurance claims) concepts and structures. Extensive experience in manipulating and analyzing these databases is required.
• Knowledge and experience in data analysis in oncology is strongly preferred.
• Generate tables, listings, and graphs for compound projects.
• Responsible for the validation and quality assurance of any output produced.
• Generate and review validated table, listings, and graph output meeting the needs of Clinical Projects.
• Prefer candidate with clinical experience. SAS program experience required.
• Experience Level = 3-5 Years.