Postdoctoral Fellow in Prostate Cancer Metabolism

Postdoctoral Fellow in Prostate Cancer Metabolism

Indiana University is an equal‑opportunity employer and a provider of ADA services, and prohibits discrimination in hiring. See Indiana University’s Notice of Non‑Discrimination.

Position located in IU School of Medicine, Indianapolis, Indiana.

The El‑Kenawi Laboratory at Indiana University Melvin and Bren Simon Comprehensive Cancer Center seeks a highly motivated postdoctoral fellow to investigate metabolic mechanisms of immune suppression in the prostate tumor microenvironment. The research focuses on how cancer cells exploit metabolic symbiosis with neighboring cells to drive therapeutic resistance, emphasizing cholesterol metabolism and its role in hormonal therapy resistance.

• Metabolic interactions in the tumor microenvironment
• Cancer immunometabolism and immune cell suppression
• Cholesterol metabolism in therapeutic resistance
• Nutrient scavenging mechanisms in cancer progression

• Design and execute independent research projects on cancer metabolism and immune cell function
• Perform advanced metabolomics using LC‑MS (Orbitrap) and integrate multi‑omic datasets
• Conduct molecular biology, flow cytometry, and functional immunology assays
• Work with preclinical mouse models of prostate cancer and clinical samples
• Prepare manuscripts, present at conferences, and contribute to grant applications
• Mentor graduate and undergraduate students

• Competitive salary following NIH guidelines with comprehensive benefits
• Access to state‑of‑the‑art metabolomics core (Orbitrap LC‑MS) and NCI‑designated cancer center facilities
• Collaborative research environment with leading cancer researchers
• Professional development opportunities including grant writing training and career mentorship
• Support for conference presentations and networking

• Ph.D. in Cancer Biology, Immunology, Biochemistry, Chemical Biology, Computational Biology, or related field
• Strong publication record and demonstrated productivity
• Excellent communication skills (written and oral)
• Ability to work independently and collaboratively

• Experience with metabolomics (LC‑MS, GC‑MS) and metabolic pathway analysis
• Computational skills for multi‑omic data analysis (R, Python) is a plus

• Cover letter (1‑2 pages) describing research interests, experience, and career goals
• Curriculum vitae with publication list
• Brief summary of prior research (1 page)
• Contact information for three references

Dr. Asmaa El‑Kenawi

Email: asmaa.elkena

Website: