Epidemiology Data Analytics

Duration: 12+ months contract 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. 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 by client. • 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: • 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. Skills: • Epidemiology, RWD, Real world data, HER, EMR, Claims data, Oncology TA & SAS Education: BMPH 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. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter’s Details: Name: Rahul Lahiri Email ID: Rahul.lahiri@ustechsolutionsinc.com