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About the Role

This position involves conducting research that integrates experimental immunology with computational analyses of omics data. The goal is to advance translational approaches to immunology and transplantation biology, with a specific project focused on developing a novel dynamic fluorescent biosensor to evaluate redox homeostasis in T lymphocytes as a biomarker for acute cellular rejection in heart transplant recipients.

Responsibilities

Design, execute, and analyze 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.
Conduct laboratory experiments including flow cytometry, cell culture, and redox profiling.
Perform computational modeling of clinical and omics data.
Develop new biomarkers to 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.

Skills

Experimental immunology
Computational analyses of omics data
Wet lab assays
Computational pipelines
Translational approaches to immunology
Transplantation biology
Flow cytometry
Cell culture
Redox profiling
Computational modeling
R programming
Python programming
Data analysis

Location

1428 Madison Ave, NY, NY 10029

Work Type

Onsite

Experience Level

Postdoctoral Fellow

Education Level

PhD
MD
MD/PhD

Salary/Compensations

$72500 - $80000 Annually

About the Company

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence and delivering outstanding patient care.
Mount Sinai's legacy includes achievement, education, and innovation in transforming healthcare.
The organization encourages active participation in creating a culture of fair access to opportunities, inclusive practices, and individual success.
Leaders are committed to fostering a workplace where employees feel valued, respected, and empowered to grow.
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area with over 48,000 employees.
It includes eight hospitals, over 400 outpatient practices, over 300 labs, a school of nursing, and a leading school of medicine and graduate education.
Mount Sinai advances health by addressing complex healthcare challenges, discovering new scientific knowledge, developing effective treatments, educating future medical leaders, and supporting communities with high-quality care.
The Health System offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches like artificial intelligence and informatics.
It is consistently ranked by U.S. News & World Report's Best Hospitals and other prestigious publications for various specialties and research.

Equal Opportunity

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws.
We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law.
We are committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported.
Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.