Biostatistician - Epidemiology/Clinical Research - Remote

Westat is committed to building a diverse workforce and a culture of inclusivity, belonging and equity for all. We believe that our greatest strength draws on the different backgrounds, cultures, perspectives and experiences of our employees.
Westat is seeking a Biostatistician to support statistical analyses on various types of research projects involving epidemiological, administrative, and clinical datasets. You will collaborate and consult with external investigators and internal project team members on your work designing and executing analyses. You will provide biostatistical support including designing analytic plans and performing data analysis for Westat projects and contribute to scientific peer reviewed publications. You will present analytic results to collaborators and assist them with data access, analysis, and interpretation of results. You will be responsible for building code and algorithms that can be shared internally to answer defined epidemiologic and evaluation questions, ensuring that results are scientifically robust and that study methods are well documented.
This will be a remote role (U.S. Based).
Responsibilities:

• Contribute to efforts in researching, recommending, and implementing methods to validate, troubleshoot, and interpret results.
• Provide study design advice to investigators including assessment of appropriateness and feasibility.
• Participate in all phases of analytical programming, data management, macros, quality control and reporting of research data.
• Conduct statistical analysis for epidemiological, clinical and evaluation projects including implementation and refinement of statistical methods, preparation of formatted tables of results and other outputs, verification of the accuracy of results, and assumption of primary responsibility for the analysis and presentation of project data.
• Present analytical results orally and in writing to internal and external audiences, incorporating descriptions of methods, relevant literature, and other background material to provide context for the results.
• Participate in quality control and quality assurance processes and review code output, tables, and charts.
• Develop statistical analysis plans for research projects including guiding the data management team in terms of database design, selection of statistical methods, creation of project timelines, and development of formats for presenting results.
• Collaborate with external investigators in developing study aims and research hypotheses.
• Serve as a data resource for research project teams and interact directly with clients and external investigators.
• Develop statistical considerations and analysis methods for study protocols.

Basic Qualifications:

• PhD
• Candidates with a Master's degree must be currently enrolled in a Doctoral program and plan to complete their degree by August 31, 2023.
• Two (2) years of advanced quantitative statistical analysis using R and SAS.

Preferred Qualifications:

• Ability to express complex statistical concepts and technical information clearly to audiences with and without formal statistical training.
• Expert ability to identify and resolve analytic issues using knowledge, background, problem solving and troubleshooting skills.
• Ability to assess existing tools and identify novel tools and approaches for analyses.

Your demonstrated ability to establish effective working relationships, work collaboratively as part of a research team, and be a self-starter is key. You will use your critical thinking, writing, and communication skills to support your projects and clients.