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Genomic AI Fellows

Job in New York, New York County, New York, 10261, USA
Listing for: SilkRoad
Full Time position
Listed on 2026-10-07
Job specializations:
  • Research/Development
    Data Scientist, Genetics / Genomics
Salary/Wage Range or Industry Benchmark: 100000 - 136000 USD Yearly USD 100000.00 136000.00 YEAR
Job Description & How to Apply Below
Location: New York

The New York Genome Center (NYGC) is seeking exceptional, highly motivated Genomic AI Fellows to join a high-impact initiative transforming the diagnosis, prevention, and treatment of human disease through predictive genomic AI. This program aims to bridge the gap between large-scale genomic data and transformative clinical impact. The fellowship will provide early-career scientists with the resources and environment to develop next-generation Foundation Models (FMs) for the human genome.

The Vision

While DNA sequencing is now a clinical staple, the noncoding "dark matter" of the genome remains largely undeciphered. AI will play a key role in unlocking the sequence-to-function code. As a Genomic AI Fellow, you will collaborate with data generators, computational experts, and geneticists. You will leverage NYGC’s massive, proprietary datasets, including single-cell multiomics and large-scale genetic perturbation datasets, to build models that predict how genetic variation influences cellular behavior and, ultimately, human health.

Research Opportunities

Genomic AI Fellows are encouraged to explore the frontier of genomic modeling, with access to high-resolution data and high-performance computing to address challenges such as:

  • Mapping the Regulatory Landscape:
    Moving beyond bulk-omics to predict cell-type-specific molecular phenotypes directly from DNA sequence.

  • Decoding Distal Regulation:
    Developing novel architectures that can accurately connect distant regulatory elements to transcriptomic output, capitalizing on genetic perturbations.

  • Predicting Clinical Trajectories:
    Utilizing whole-genome sequencing (WGS) from tens of thousands of cases—including Autism, Schizophrenia, Alzheimer’s, and ALS—to predict disease risk and susceptibility via intermediate molecular effects.

Who You Are

We are seeking "high-risk, high-reward" thinkers who thrive at the intersection of machine learning and biology.

  • Academic Background: A Ph.D. in Computer Science, Computational Biology, Genomics, or a related quantitative field

  • AI Sophistication:
    Deep expertise in modern deep learning, foundation models, and large-scale model training.

  • Biological Curiosity: A strong interest in (or experience with) gene regulation, epigenomics, or the genetic basis of complex disease.

  • Independence: A track record of leading original research and the ability to navigate complex, multi-modal datasets.

Why the NYGC Genomic AI Fellowship?

This is a platform for researchers to lead high-impact projects within a collaborative ecosystem. You will be paired with world-class computational expertise and gain direct access to genomics data and "in-production" multiomics pipelines. Your work will sit at the vanguard of precision medicine, translating the multiomics revolution into actionable biological insights.

This position is offered as a one-year renewable appointment, with renewal based on performance, funding availability, and program needs.

Salary & Benefits

The pay for this position is $118,000 per year; this includes a $100,000 base pay and a $1,500 per month taxable postdoctoral housing allowance ($18,000 per year), a full range of medical, financial, and other benefits, and generous time off.

About the New York Genome Center

The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism,…

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