We are currently seeking an experienced, versatile Biostatistician to support a project. The Biostatistician is responsible for analyzing large, de-identified medical record and clinical databases and for supporting the development of statistical methods for research projects. The Biostatistician will work collaboratively with scientists, including physicians, engineers, and computer scientists, in the design of formal studies and will participate in development of statistical methods to find important predictors of outcomes in large claim-based clinical database using various regression and survival models.
This position requires being onsite daily at our location in Bethesda, Maryland.
Key Responsibilities:
- Manipulating claims data using SAS
- Merging and consolidating different claim-level files and creating patient-level summary data
- Analyzing patient-level study data to find important predictors for outcomes of interest
- Documenting projects and providing status reports
Basic Qualifications:
- M.S. degree in statistics or biostatistics with strong academic training in methodology
- Experience with analysis of clinical and medical record data
- Demonstrable expertise with implementing electronic health records, especially claims data
- Familiarity with statistical models such as generalized linear models, survival analyses (Cox proportional hazard regression, Accelerated Failure time model, Fine-Gray subdistribution hazard regression etc.), and Mixed model
- High degree of programming proficiency in SAS/R/Stata
- Expertise in SAS. Example: SAS/SQL, SAS/STAT such as PHREG, LIFEREG, GENMOD, GLIMMIX etc.
- Experience implementing propensity score approaches (matching, stratification, and weighting) in analyzing observational data Preferred Qualifications:
- Experience in R programming language and Stata
- Good working knowledge of SAS and time-efficient programing
Please send your resume to Sherrie.Tsen@icf.com Or Apply here: https://www.icf.com/careers/jobs/R1801900
