Epidemiology Data Analytics Contractor

Target PR Range: 46-56/hr
*Depending on experience

Job Description:
The Contractor, Epidemiology Data Analytics, is accountable for real-world data analytics in oncology within the Global Epidemiology function with Clinical Sciences.

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.

Responsibilities:
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.
Act as a knowledge developer, creating a repository of best practices around RWD, establish design principles and standards to ensure consistency across analytical work projects
Anticipate and communicate potential issues that could impact timelines or quality and propose solutions to mitigate these risks.

Experience/Skills:
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