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Cornell University

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Postdoctoral Associate in AI for Conservation Genomics at Cornell University and Rockefeller University Cornell University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Associate position funded by the Bezos Earth Fund. Cornell posting lists a hiring range of $63,480 - $72,000. The project is part of GAIA, a collaborative initiative with Cornell University, The Rockefeller University, and Revive & Restore.

Deadline

Oct 9, 2026

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Country

United States

University

Cornell University

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Keywords

Computer Science
Machine Learning
Environmental Science
Deep Learning
Biology
Conservation Biology
Artificial Intelligence
Python Programming
Genomic
Statistics
Bioinformatic

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About this position

Postdoctoral Associate opportunity in AI for conservation genomics at Cornell University, in collaboration with The Rockefeller University and Revive & Restore through the GAIA initiative (Genomic Artificial Intelligence Applications).

The project focuses on building and applying cutting-edge artificial intelligence, machine learning, and deep learning methods to large-scale genomic and ecological datasets. The successful candidate will work on models that integrate thousands of genome assemblies and multimodal biological data to identify genomic determinants of species resilience, adaptation, and extinction vulnerability, and to support practical conservation and genetic rescue strategies.

GAIA is developing two major tools: Jarvis, an AI genome curation assistant, and Genera, a multimodal AI system for conservation decision support. The Cornell postdoc will primarily focus on Genera, with opportunities to interact with the developers of Jarvis and collaborate with researchers across the consortium.

Funding: The position is funded by the Bezos Earth Fund. The Cornell posting lists a salary range of $63,480–$72,000.

Eligibility highlights: PhD in computational biology, bioinformatics, computer science, electrical engineering, or a related field; 3+ years of relevant research experience with publications; strong background in AI/ML and deep learning; proficiency in Python and tools such as PyTorch, Jax, or scikit-learn; experience with sequence modeling and interpretable AI methods; and interest in genomics and biodiversity conservation.

How to apply: Apply through Academic Jobs Online. Submit a cover letter, CV, and contact information for three references. Applications are reviewed on a rolling basis until the position is filled.

Deadline: Listed until 2026-10-09.

Funding details

Postdoctoral Associate position funded by the Bezos Earth Fund. Cornell posting lists a hiring range of $63,480 - $72,000. The project is part of GAIA, a collaborative initiative with Cornell University, The Rockefeller University, and Revive & Restore.

What's required

PhD in computational biology, bioinformatics, computer science, electrical engineering, or a related field. At least 3+ years of experience with impactful results and publications using relevant AI/ML techniques and genomic data analysis. Background and motivation in genomics and/or biodiversity conservation studies. Strong AI/ML fundamentals, extensive deep learning experience, proficiency in Python and frameworks such as PyTorch, Jax, or scikit-learn on genomic or related datasets. Experience with sequence modeling architectures and interpretable AI methods such as SHAP or Integrated Gradients. Ability to stay current with AI advances, work independently, and collaborate effectively in multidisciplinary teams.

How to apply

Apply via Academic Jobs Online using the Cornell posting. Submit a cover letter, CV, and contact information for three references. Review begins immediately and continues on a rolling basis until filled, so apply early.

More information can be found here

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