Post Doctoral Fellow-MSH-32086-002

Mount Sinai Health Systems•New York, NY

1d•$72,500 - $80,000•Onsite

About The Position

The Department of Pharmacological Sciences at Mount Sinai Health System is seeking a Post Doctoral Fellow to conduct research that integrates experimental immunology with computational analyses of omics data. This 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 laboratory experiments (flow cytometry, cell culture, redox profiling) and computational modeling of clinical and omics data, aiming to develop new biomarkers for improved rejection surveillance and 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.
Advance translational approaches to immunology and transplantation biology.
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.