The Data Analyst is responsible for leading data analysis efforts on multiple research projects within the department. This position will manage data and perform statistical analyses for funded research projects, help prepare results of analyses for relevant manuscripts, and provide data sets and guidance to students performing related analyses. This position may be assigned to a total of 3 Project Investigators (PIs), each with their own projects, datasets, and deadlines.
Major Responsibilities: Manage data and perform statistical analyses evaluating a number of epidemiologic hypotheses (e.g. substance use and HIV risk among vulnerable populations, determinants of reproductive health and neurodevelopment, effects of mindfulness-based interventions on cardiovascular risk factors). Provide data documentation for other data analysts and project publications and report. Write methods sections of related manuscripts and grant applications. Analytic research support and performing data analyses. Review and discuss requests for statistical support. Schedule and/or attend regular research meetings with Project PIs and other project staff. Communicate timelines for completed analyses. Conduct statistical analyses using SAS; regular reporting of results to investigators; manuscript preparation. Advise on statistical approaches and methods for various epidemiological study designs (e.g., cohort studies, case-control studies, and trials).
Providing statistical and possible epidemiological assistance to students in related projects.
â?¢ Bachelorâ??s degree required. Masterâ??s degree in Statistics, Biostatistics, or Epidemiology is preferred
â?¢ Experience in biomedical data analysis, including longitudinal analysis, survival analysis, bootstrapping procedures, methods to address missing data, etc.
â?¢ Excellent verbal and written communication skills.
â?¢ Ability to work well both independently and collaboratively.
â?¢ Effective at communicating with audiences whose statistical and technical backgrounds vary widely.
â?¢ Efficient time management skills.
â?¢ Proven ability to work effectively on multiple projects at the same time.
â?¢ Working knowledge of major statistical software package (SAS preferred)
Background Check: Criminal
Recruiting Start Date:2017-02-08-08:00
Job Posting Title:Data Analyst
Worker Sub-Type:Fixed Term (Fixed Term)
Time Type:Full time
Scheduled Weekly Hours:37.5
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
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