Post-doctoral Fellow - Nutrition

Title: Post-doctoral Fellow

Department: Nutrition

Supervisor Name and Title: Gürkan Bebek, Assistant Professor


We are seeking a highly motivated and skilled researcher in bioinformatics and systems biology to support collaborative, data-driven projects in Alzheimer’s Disease and related dementias. Our research focuses on understanding the temporal changes of key driver genes related to inflammatory changes over distinct clinical stages of AD and develop a clinical and research framework. Our goal is reaching to fundamental knowledge that can be used to develop treatments to stage and mitigate cognitive decline in AD and improve clinical care. Most recently, we discovered inflammatory pathway analytes predicting rapid cognitive decline in Mild Cognitive Impairment (MCI) stage of Alzheimer's disease. 

We employ next generation sequencing (NGS) technologies (RNAseq and scRNAseq) and proteomics (label-free and phosphoproteomics) to identify changes throughout the disease spectrum and carry out mechanistic studies to define the functions of these changes and their impact on the transcriptome and neurobiology. We are particularly interested in developing and testing hypotheses for novel pathways and biomarkers explaining these changes. The postdoctoral fellow will also work on integrating the vast amount of publicly available datasets and our novel datasets generated from patient samples in collaboration with the Cleveland Clinic. 

The qualified candidate will:

- Utilize systems analyses, network biology, pathway analysis techniques to analyze large omics datasets from proteomics, transcriptomics, and genomics.

- Present data at departmental seminars and scientific meetings, prepare manuscripts, and contribute preliminary data for grant proposals.

- Work/troubleshoot independently as well as understand and incorporate findings in the scientific literature into his/her research.

- Is expected to take a lead role in data analysis, interpretation, visualization, and manuscript preparation. 


- Scientific and technical expertise in molecular biology, bioinformatics, and systems biology.

- Fluent in using high-level programming languages, such as R and Python, for analyzing complex biological data and skilled at data visualization. Experience with compiled languages such as C/C++ is a plus.

- Experience in proteomics data analysis preferred but not required.

- Experience in analyzing data generated by high-throughput molecular assays, especially single-cell NGS assays (e.g., scRNA-seq, scATAC-seq).

- Understanding of statistical principles behind current best practices in high-throughput molecular data analysis.

- Strong communication and data presentation skills.

- Strong organizational skills and feel comfortable working on multiple projects in parallel.


-  Supervise visiting scholars and student trainees in experimental design and data analysis of a variety of projects. 


- Minimum qualifications include a Ph.D. in biological sciences, computer science or a relevant field

- Prior post-doctoral research experience is not needed but preferred. 

- A background in proteomics and genomics is highly preferred. 

- The successful candidate must have strong analytical, oral and written communication skills. 


To apply, send a CV, cover letter describing your qualifications and interest in the position, and the names and contact details of three references to Gürkan Bebek,

In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity.  Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.

Case Western Reserve University provides reasonable accommodations to applicants with disabilities.  Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Inclusion, Diversity and Equal Opportunity at 216-368-8877 to request a reasonable accommodation.  Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.