Description:
The team is currently working remotely but may return to on-site work at WRAIR, Silver Spring, Maryland. Candidates must live within reasonable commuting range to WRAIR or are willing to relocate.
Responsibilities Include But Are Not Limited To
- Lead advanced statistical analyses and modeling of administrative and medical data. Statistical analyses can include, but are not limited to linear, logistic, Poisson, proportional hazards, and other time-to-event regression modeling and cost-benefit analysis
- Participate in design, plan, execute and validate large-scale epidemiological studies which measure short- and long-term impacts of policy changes, occupational exposures, and diseases/injuries on military service and disability discharge
- Design and plan methodologies to address project-specific needs, including study planning, literature reviews, sampling, and rigorous and comprehensive statistical analysis (overall descriptive, exploratory, and confirmatory)
- Collaborate with team members to identify relevant data sources, support the creation of analytic datasets, and rapidly deploy analytics in response to ad hoc requests for information
- Apply epidemiologic expertise and strong communication skills to interpret results, summarize technical approaches and results, and write various knowledge products, including annual reports, white papers, manuscripts, and briefings
- Train and mentor junior staff in SAS programming, study design, analysis, results interpretation, and development of knowledge products
- Serve as a critical subject matter expert to develop innovative strategies and solutions, and to support the program’s missions.
- Participate in research collaborations that may span multi-site, multi-agency, and multi-stakeholder initiatives to help advance targeted public health objectives
Minimum Qualifications
- PhD/equivalent in statistics with 5+ years of experience in the health/medical research, or MS in statistics with 10+ years of experience in health/medical research
- Thorough understanding of statistical modeling, including ability to identify potentially appropriate approaches for any given research need, and to select and rigorously justify the method ultimately chosen
- Expertise in programming using SAS software
- Ability to interpret and apply statistical techniques, summarize and explain methods and findings to non-statistician research team members, and assist and train junior staff
- Solid knowledge of and experience with the design and analysis of epidemiologic studies
- Strong understanding and application of public health, epidemiology, and research principles
- Strong analytic, critical thinking, and decision-making skills and ability to identify and solve issues independently
- Excellent English verbal and written communication skills needed to keep research team informed of progress, changes in status of work, and communicate findings to stakeholders
- Must be able to work on multiple projects at the same time
- Strong communicative, interpersonal, negotiation, consensus-building, and analytical skills with the ability to work successfully in cross functional teams in an organized, fast paced environment while meeting time sensitive deadlines is a must