Biostatistician Apply
Job Title: Biostatistician
Location: Baltimore, MD
We are seeking a skilled Biostatistician to provide expert support in statistical analysis and data management for a community-based cohort study focused on brain health equity. You will work with a multidisciplinary team of researchers, assisting in the statistical design, analysis, and interpretation of epidemiological data. This is a unique opportunity to contribute to research that addresses health disparities and advances public health outcomes.
Key Responsibilities:
- Provide biostatistical expertise for research studies, including designing and implementing statistical analyses.
- Analyze and interpret epidemiologic data using statistical methods such as logistic regression, Cox regression, and rate standardization.
- Manage and organize large, complex datasets, including data cleaning, transformation, and ensuring data integrity.
- Write statistical sections for manuscripts and assist in interpreting comments from referees.
- Perform descriptive and missing data analyses and document results for reports and publications.
- Collaborate with research teams to develop innovative strategies for data modeling, genomic data integration, and prediction.
- Stay current with new statistical methods and software packages, offering consultation and training to staff.
- Integrate data from multiple sources into statistical software like SAS, R, Stata, and Epicure.
Qualifications:
- Master's or PhD in Biostatistics, Statistics, Bioinformatics, or a related field.
- Specialized experience in statistical analysis of epidemiological data.
- Proficiency in statistical software (e.g., SAS, R, Mplus, SPSS).
- Strong analytical skills with experience in public health, epidemiology, or clinical research.
- Excellent communication skills to explain statistical concepts and results to non-statistical audiences.
- Ability to work independently and collaboratively as part of a team.
This position is perfect for a biostatistician who is passionate about public health, enjoys working with complex datasets, and is committed to making a meaningful impact on health equity. If you're ready to contribute to cutting-edge research, we'd love to hear from you!
