Post Doctoral Fellow-MSH-32086-002
About The Position
The Department of Pharmacological Sciences is seeking a Postdoctoral Fellow to conduct research that integrates experimental immunology with computational analyses of omics data. The position requires designing, executing, and analyzing both wet lab assays and computational pipelines, with the goal of advancing translational approaches to immunology and transplantation biology. The fellow will also prepare manuscripts, present findings at conferences, and collaborate closely with clinicians and scientists. The specific research project focuses on developing and applying a novel dynamic fluorescent biosensor (FJ375) to evaluate redox homeostasis in T lymphocytes as a biomarker for acute cellular rejection (ACR) in heart transplant recipients. This project involves both laboratory experiments (flow cytometry, cell culture, redox profiling) and computational modeling of clinical and omics data. The ultimate goal is to develop new biomarkers that improve rejection surveillance and guide personalized immunosuppression strategies in cardiac transplantation.
Requirements
- PhD, MD, or MD/PhD in Immunology, Computational Biology, Bioinformatics, Molecular Biology, or a related field.
- Demonstrated expertise in wet lab immunology techniques (e.g., flow cytometry, cell culture, molecular assays).
- Experience with computational methods and programming (R, Python, or similar) applied to biological datasets.
- Strong initiative, independence, and ability to integrate clinical and basic science questions.
- Excellent communication and collaborative skills.
Responsibilities
- Conduct research that integrates experimental immunology with computational analyses of omics data.
- Design, execute, and analyze both wet lab assays and computational pipelines.
- Prepare manuscripts and present findings at conferences.
- Collaborate closely with clinicians and scientists.
- Characterize the redox metabolic profile of T cell subsets in transplant recipients.
- Assess the diagnostic performance of FJ375 for detecting acute cellular rejection.
- Determine the prognostic capacity of redox signatures for predicting persistent rejection.
- Explore the influence of immunosuppressive therapy on T cell redox balance through ex vivo assays.
- Integrate clinical, immunological, and computational analyses to identify molecular correlates of immune tolerance and risk of rejection.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
