Postdoctoral Researcher, Zhou Lab
Core
Developing state-of-the-art machine learning models for genomics and cell biology to study spatiotemporal dynamics of gene regulation and advance AI applications in biology.
Role type
Postdoctoral Researcher (Machine Learning for Genomics)
Builds
Generative AI models for DNA sequences, gene regulation, and perturbation modeling; tools for genome mining and therapeutic development.
Domain
Artificial Intelligence, Computational Biology, Genomics
Deliverable
production ML models
Required skills
modern deep learning, computational biology, genetics, single-cell multiomic technologies, novel ML architectures, interpretability techniques, complex dataset analysis, high-quality ML tool building
Preferred skills
knowledge of AI for genomics, DNA sequence to function models, genome language models, single-cell foundation models
Technologies
single-cell multiomic technologies, generative AI, novel ML architectures
Responsibilities
Train and evaluate state-of-the-art machine learning models for genomics; Design, perform, and analyze experiments for model applications; Analyze results with the Principal Investigator; Collaborate with postdocs, students, and employees on model development and data analyses; Publish, present, and represent the Zhou lab in journals and conferences.
Seniority
Postdoctoral Researcher, independent project lead
