Postdoctoral Fellow-MSH-32910-032

Mount Sinai Health System; United States; On-site; USD 75,000 - 80,000; Full time

Benefits offered by this job

Housing assistance

Job summary

The Mount Sinai Health System invites applications for a Postdoctoral Research Fellowship in Machine Learning, AI, and Computational Biology focusing on human disease genomics. The role involves developing models to predict functional variants and conducting large-scale PheWAS using major biobanks in collaboration with CBIPM, AIHH, and GGS at Icahn School of Medicine at Mount Sinai in New York.

The successful candidate will work with a team of data scientists, geneticists, and clinicians,

Qualifications

• Ph.D., M.D., or equivalent doctorate in computational biology, human genetics, disease genomics, or related field.
• Proficiency in Python and statistical computing with R.
• Excellent publication record.
• Strong communication and presentation skills in English.

Skills

Python

R

Publication record

Communication skills

Education

Ph.D./M.D. or equivalent

Job description

Postdoctoral Research Fellowship in Machine Learning, Artificial Intelligence, and Computational Biology for Human Disease Genomics

CBIPM, AIHH, GGS

Icahn School of Medicine at Mount Sinai

We are seeking applications for a Postdoctoral Research Fellowship in Human Disease Genomics, Artificial Intelligence (AI) and Machine Learning (ML), developing model to predict models to predict the functional effects of genetic variants, and to conduct large-scale Phenome-Wide Association Studies (PheWAS) in major biobanks. This fellowship will be jointly hosted by the Charles Bronfman Institute for Personalized Medicine (CBIPM), the the Windreich Department of Artificial Intelligence and Human Health (AIHH) and the Genetics and Genomic Sciences (GGS) departments at the Icahn School of Medicine at Mount Sinai in New York, NY.

We are dedicated to advancing precision medicine through cutting-edge AI techniques and human disease genomics discovery research. Key research areas of interest include, but are not limited to: developing AI/ML methods to predict disease-specific causal variants and genes, utilizing LLM and computational approaches to generate extensive databases of gain- and loss-of-function functional variants in various categories, and performing PheWAS in the Mount Sinai Million Discovery Program (MSM) biobank combined with other leading biobanks (All of Us, UK Biobank, and Million Veterans Programs) across various human populations, traits and clinical measurements utilizing electronic health records (EHR) data.

Dr. Yuval Itan will supervise the successful candidate. The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include (a) Access to >10 million patient records in the Mount Sinai Data Warehouse with multi-modal data; (b) The Mount Sinai Million health Discoveries Program with >100,000 patients with whole exome sequencing data linked to longitudinal clinical data; (c) Ability to deploy the models into clinical care. He or she will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations. As an advisor, Dr. Itan actively encourages the professional development of his lab members and facilitates presentation of exciting findings in pioneering conferences.

The postdoctoral fellow will join a dynamic team of data scientists, geneticists, and clinicians and participate in unique opportunities to apply cutting-edge computational and statistical techniques for important scientific breakthroughs and to directly impact patients’ lives in a clinical setting.

The ideal candidates will have the following background:

1. Ph.D., M.D., or equivalent doctorate in computational biology, human genetics, disease genomics, population genetics, bioinformatics, or a related field.

2. Proficiency in programming (e.g., Python) and statistical computing (e.g., R).

3. Excellent publication record.

4. Strong communication and presentation skills with fluency in spoken and written English.

Information on the Postdoctoral Training Program at Mount Sinai:

http://icahn.mssm.edu/education/postdoctoral-training. To learn more about the Icahn School of Medicine at Mount Sinai: http://icahn.mssm.edu.Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and of a wide range of amenities as well as visa sponsorship on a case-by-case basis.

About Our Organization:

The Icahn School of Medicine at Mount Sinai is internationally recognized as a leader in groundbreaking clinical and basic science research and is known for its innovative approach to medical education. With a faculty of more than 3,400 in 38 clinical and basic science departments and centers, Mount Sinai ranks among the top 20 medical schools in receipt of National Institutes of Health grants. In its 2015 "America’s Best Graduate Schools" issue, U.S. News & World Report ranks the Icahn School of Medicine 14th out of 130 medical schools nationwide. Mount Sinai Medical Center is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds. Mount Sinai Medical Center--An EEO/AA-D/V Employer.

Keywords:

Artificial Intelligence, Machine Learning, Deep Learning, Phenome-Wide Association Studies, Genome-Wide Association Studies, Biobanks, Computational Biology, Bioinformatics, Genomics, Genetics, Electronic Health Records, Electronic Medical Records, Network Biology, Predictive modeling, Data Science, Clustering, R, Python, Precision Medicine, Personalized Medicine.

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 the role is $74,692.00 - $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.

SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), J18 - AI and Human Health - ISM, Icahn School of Medicine