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Roles & Responsibilities:

Postdoctoral Fellowship in Exposomics, Environmental Epidemiology, Environmental Medicine, Public Health, Biostatistics, Pediatrics and Medicine
A fully-funded PostDoc position is available with Dr. Alison Lee at the Icahn School of Medicine at Mount Sinai in NYC. Funding is guaranteed for 2 years with potential for further support. Dr. Lee's research leverages two NIH-funded ongoing pregnancy cohort studies investigating the impact of perinatal exposures (both chemical and non-chemical) on lung development and the programming of future respiratory disease in children, with a specific focus on epigenetic mechanisms including DNA methylation, non-coding microRNAs and long noncoding RNAs, and extracellular vesicle communications. Metabolomics and microbiome are also of interest. Further, these studies are part of the national ECHO (Environmental Influences on Children's Health Outcomes) Initiative and consider a range of additional outcomes, including growth and obesity, perinatal outcomes and neuropsychological development, allowing extension of epigenetic work to these outcomes. The successful postdoc will lead epidemiology and computational investigations of how these molecular mechanisms mediate the effects of high-resolution environmental exposures on human health.
Examples of active projects include:
1. Maternal trauma, circulating microRNA in extracellular vesicles, and programming of childhood respiratory outcomes
2. Prenatal PM2.5 and programming of respiratory outcomes: Placental biomarkers and effect modification by stress
3. ECHO consortium on perinatal programming of neurodevelopment
Team: The fellow will work closely with Dr. Lee and will be part of an interdisciplinary team of environmental epidemiologists, epigeneticists, and computational biologists dedicated to environmental health investigations.
 

Requirements:

Qualifications: Applicants should possess a Ph.D. in Environmental and/or Molecular Epidemiology, or alternatively, in other relevant disciplines, such as Statistics/Biostatistics, Computational Biology, Machine Learning, or Bioinformatics, with relevant previous work and interest in environmental health. Strong quantitative skills, practical experience working with complex epidemiology data, familiarity with the R statistical software packages and excellent oral communication and scientific writing are also necessary. Experience with high dimensional molecular data such as Illumina BeadChip methylation (450K, 850K or EPIC) and RNA-seq data is strongly preferred.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

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 deeply 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.

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Qualifications: Applicants should possess a Ph.D. in Environmental and/or Molecular Epidemiology, or alternatively, in other relevant disciplines, such as Statistics/Biostatistics, Computational Biology, Machine Learning, or Bioinformatics, with relevant previous work and interest in environmental health. Strong quantitative skills, practical experience working with complex epidemiology data, familiarity with the R statistical software packages and excellent oral communication and scientific writing are also necessary. Experience with high dimensional molecular data such as Illumina BeadChip methylation (450K, 850K or EPIC) and RNA-seq data is strongly preferred.
Application:
Interested individuals should send a cover letter, curriculum vitae, two sample publications, and the names/phone numbers of three people who could provide letters of reference by email to Ms. Suzy Allen, Administrative Manager: Suzy.Allen@mssm.edu.

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $72,500.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, ICC - Pediatrics Pulmonology Research - ISM, Icahn School of Medicine

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