Open Faculty and Staff Positions

The Department has two faculty positions for which we are actively recruiting - both in Biostatistics.

Associate or Full Professor rank and open track (Tenure or non-Tenure) faculty position in Biostatistics.

Rank and tenure status will be determined based on applicant's background and expertise.

We are looking for expertise that complements our current areas of departmental research (statistical genomics, complex longitudinal statistical modeling, modeling of health impact of environmental and behavioral factors, correlated data analysis, big data analytics, clinical trials, and causal inference). Expertise in and ability to work with multidisciplinary research teams is expected. Candidates should have a strong record of research in biostatistics in one or more of: investigator-initiated studies, company-sponsored trials, collaborative group studies, and content knowledge of trial design from the regulatory, biological/clinical/behavioral, and statistical perspective. Examples of specific diseases or health issues of interest include cardiovascular disease, cancer, diabetes, health disparities, infectious disease, neurodegeneration, and obesity. A PhD or equivalent degree in biostatistics or a relevant quantitative discipline is required.

Preference will be given to candidates with experience in and/or interest in a faculty leadership role as Director of the Master’s program in Biostatistics.  Candidates with established external funding and a strong record of publications reflecting independent and/or collaborative research programs, especially those who could advance/collaborate with existing departmental and institutional research are preferred. The successful candidate will be expected to establish a track record of extramurally-funded research as Principal Investigator and/or as a collaborator.

Download a PDF of the Associate or Full Professor position

Instructions about how to apply are included in the PDF.


 

Research Positions 

The following positions are handled through the Department. Each description includes an email to which you can directly send your CV, cover letter, and recommendations. 
  
o    Postdoctoral Fellow, working with Department Chair, Jonathan L. Haines, PhD, focusing on quantitative genomic studies related to Alzheimer’s disease and other neurological disorders. The successful candidate will have a PhD (or equivalent experience) in genetics, genomics, epidemiology, computational biology, bioinformatics, biostatistics, or computer sciences, and have experience or interest in computational, analytical, or statistical genomics research.  
o    Read more and download a pdf here.  


o    Research Associate, working with Jennifer Cullen, PhD, MPH, focusing on computational analysis of genomic, proteomics, genetic and traditional survival analysis studies.  Candidates will have experience in developing analytic and statistical plans, as well as support in study design, preferably in the fields of cancer and/or genetic epidemiology. 
o    Read more and download a pdf here.  


Staff Positions  

These positions are hired through the University’s central Human Resources department, which uses an employment portal (called HCM).  The portal link:  https://case.edu/hr/careers

You will need the Job ID number listed for each position.  
 

o    Analyst Programmer 2 (Job ID: #8372), working with Will Bush, PhD. This position focuses on further developing existing analysis workflows and pipelines within “big data” frameworks, and then packaging and deploying these products to cloud environments. 

o    Research Assistant 3 (Job ID #8735), working with Department Chair Jonathan L. Haines, PhD. This position focuses on recruiting and enrolling study participants in the African American Alzheimer Disease Study.

o    Research Assistant 4 (Job ID #8736), working with Department Chair Jonathan L. Haines, PhD. This position also focuses on recruiting and enrolling study participants in the African American Alzheimer Disease Study. It also includes day-to-day management of the ascertainment study team.