Job Description
Arc Institute’s Zhou Lab is hiring a postdoctoral researcher in machine learning for genomics, combining high-throughput single-cell multiomics with generative AI for DNA sequence, gene regulation and perturbation modelling, and applying the models to genome mining, molecular tools and new therapeutic approaches.
At a glance
- Role: Postdoctoral Researcher, Zhou Lab
- Where: Palo Alto, California, USA
- Pay: Minimum base salary US$80,000 a year
- Level: MD or PhD in computer science, machine learning, computational biology, bioinformatics or genetics/genomics
- Apply: open until filled (re-checked 12 October 2026)
About the Zhou Lab postdoc
- Train and evaluate state-of-the-art machine learning models for genomics, using approaches such as new architectures and interpretability techniques
- Design, run and analyse experiments that apply the models
- Collaborate with postdocs, students and staff on model development and data analysis, and mentor junior colleagues
- Publish, present at conferences and take part in Arc-wide activities
The lab works closely with experimental biologists and contributes to Arc-wide machine learning efforts such as the Virtual Cell Initiative, so models can be tested in the lab rather than only on benchmarks.
What Arc Institute is looking for
- A doctorate (MD or PhD) in computer science, machine learning, computational biology, bioinformatics or genetics/genomics
- A strong understanding of modern deep learning, computational biology and genetics
- Familiarity with recent work on DNA sequence-to-function models, genome language models and single-cell foundation models
- Excellent communication and the ability to work independently and collaboratively in a fast-paced environment
Pay and location
Arc lists a minimum base salary of US$80,000 a year for its postdocs, set by months of relevant postdoctoral experience. The role is based in Palo Alto.
How to apply
Apply through the official Arc Institute job posting. Arc Institute’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 12 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Arc Institute
Official advertisement: job-boards.greenhouse.io
How to prepare for this application
- Sequence-to-function models: revise how models predict chromatin or expression from DNA sequence.
- Single-cell epigenomics: know scATAC-seq and multiome data and their pitfalls.
- Interpretability: be ready to explain attribution methods that reveal regulatory motifs.
- Perturbation modelling: have a view on predicting the effect of unseen perturbations.
- Application materials: check the posting for the exact documents to submit with your CV.
About Arc Institute
Arc Institute is an independent nonprofit research organisation at the interface of AI and biology, founded in 2021 in Palo Alto and partnered with Stanford, UC Berkeley and UC San Francisco. Its scientists have long-term philanthropic funding and industry-like resources, and more than 300 people work there on programmes including a Virtual Cell Initiative and an Alzheimer's Disease Initiative.