Assistant Professor of Biology (Computational/AI)

New York University Arts and Science - Department of Biology; New York (NY); On-site; USD 110,000 - 130,000; Full time

Job summary

New York University’s Department of Biology invites applications for a tenure-track Assistant Professor position in Computational/AI beginning September 1, 2027, pending approvals. The successful candidate will establish an independent computational research program in Biology, with opportunities for collaboration with experimental labs.

We seek candidates at the interface of artificial intelligence and biology, focusing on AI/ML methods or applications to biological problems such as

Responsibilities

• Establish an independent computational biology research program.
• Supervise undergraduate and graduate students and participate in teaching.
• Collaborate with NYU's AI research community and other faculty.
• Secure external funding for research and program development.

Skills

Artificial intelligence

Machine learning

Computational biology

Genomics

Job description

Assistant Professor of Biology (Computational/AI)
Department of Biology
New York University Arts and Science

New York University’s Department of Biology invites applications for one tenure-track position at the rank of Assistant Professor to begin September 1, 2027, pending administrative and budgetary approval. This search is part of NYU’s Artificial Intelligence Initiative. The successful candidate will establish an independent computational research program in the Department of Biology, complemented by opportunities for collaboration with experimental laboratories.

We seek candidates working at the interface of artificial intelligence and biology. We welcome researchers developing new AI and machine learning methods motivated by biological problems, as well as those applying these approaches to advance fundamental biological understanding. Areas of interest include, but are not limited to, sequence-to-function modeling, analysis of biological imaging data, generative design of biological molecules and systems, and large-scale modeling and analysis of high-dimensional genomic data. We welcome applications across the full breadth of AI-enabled computational biology, including areas beyond those listed above.

The Department of Biology offers a collaborative and interdisciplinary research environment. The successful candidate will have opportunities to collaborate with faculty across the Department, develop new directions that complement its research strengths, and engage with NYU’s broader AI research community. Candidates are expected to develop an externally funded research program and to participate in the teaching mission of the Department. Candidates will supervise scholarly activities of undergraduate and graduate students and participate in administrative activities in the Department of Biology.

Arts & Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber who are sensitive to the needs of and possess an interest in working in a broad academic community with different viewpoints and backgrounds. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: https://as.nyu.edu/departments/facultyexcellence.html.

In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $110,000-$130,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

Applications will be accepted until Nov 15, 2026. All materials should be uploaded via Interfolio: https://apply.interfolio.com/195143 Please direct administrative inquiries to [e-mail]. Questions regarding the position may be directed to [e-mail].