The Substance Abuse Research Team within the College of Nursing is seeking an experienced team player to serve as an Assistant Research Professor (Biostatistician) on funded projects. This position provides an excellent opportunity to expand research skills and work with an investigator studying substance use policy, health disparities, health services, health behaviors, and other related research.
Responsibilities
Successful candidates will be independent self-starters, willing to learn new research techniques, have excellent communication and organizational skills, work well with a team, and ability to multi-task and work on multiple projects simultaneously. The Biostatistician will work closely with the Principal Investigator (PI) and multiple research team members.
Responsibilities include:
Overseeing and conducting statistical analyses, including descriptive statistics, sample comparisons, regression analyses, longitudinal analyses, survival analyses, mixed-effect models, and multivariable analyses
Data curation and assisting with study design development and other research as needed
Assisting with research proposals, grants, manuscripts, and presentation materials
Making recommendations to the Principal Investigator (PI) regarding preferred analyses and research methods for proposed projects
Presenting analysis results, including tables and figures, and provide a written description of methods and statistical analyses used
Reviewing statistical outputs for consistency and quality
Qualifications
This position requires a PhD in Biostatistics or a related discipline with 1 to 2 years of experience.
The ideal candidate will have excellent written and verbal communication skills, be highly organized, possess the ability to learn and navigate new research quickly, and enjoy taking on new challenges.
This position requires advanced knowledge and experience with standard statistical analysis procedures with a degree in statistics, biostatistics, or a related field, and demonstrated knowledge of at least one statistical programming language such as Stata, SAS, and R. Experience with Microsoft Office (Word, Excel, PowerPoint) is required. The individual in this position must have the ability to work on several projects simultaneously and manage deadlines, and excellent communication skills, including the ability to explain statistical techniques and present results clearly. Experience with creating publication-quality graphs, figures, and infographics preferred.
Application
Review of applications will continue until a suitable candidate is identified. Candidates will need to upload a cover letter and resume or CV and provide three references.
This is a limited term appointment funded for three years from the date of hire with excellent possibility of re-funding.
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