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UO
University of Maryland, Baltimore
Research Associate
Career Insights for Biostatistician
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What they do
A Biostatistician conducts statistical analysis of health and biology-related data. Analysis may be used for product development at a pharmaceutical company, disease research at a hospital or health policy research at a public health organization.
$101,097 / year median in Maryland
+10% projected growth
Job Description
The Greenebaum Comprehensive Cancer Center and the Division of Biostatistics and Bioinformatics in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine are recruiting a full-time, non-tenure track, faculty-level Research Associate with expertise in biostatistics to join a thriving cancer research environment. The successful candidate will be committed to working with Greenebaum Comprehensive Cancer Center members and will hold a primary appointment in the Department of Epidemiology and Public Health. Applicants must have a Ph.D. or equivalent in Biostatistics, Statistics, Computational Biology, or Mathematics. Primarily, this is a collaborative biostatistics position to help support the research infrastructure of the Cancer Center. This will involve working with a number of different cancer researchers on a range of projects, assisting with experimental design, data analyses, grant development, clinical trials, abstracts and manuscripts. Preference will be given to experienced individuals who have 1) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services, including grant writing; 2) demonstrated expertise in modern biostatistics, bioinformatics and/or AI methodologies, with cancer-related applications being especially of interest; 3) clinical trial protocol development expertise is a priority but it can be developed, as it will be a required aspect of the position; 4) a record of independent and innovative methodological research would be welcomed and supported as well. In sum, the ideal candidate will have methodological versatility across modern biostatistics and have a strong demonstrated interest and ability to work collaboratively.