Postdoctoral Researcher, Zhou Lab

The role

The successful candidate will develop ML models for biological data, including DNA sequence, gene regulation, and perturbation modeling. You will apply these models to genome mining, molecular technology development, and the invention of new therapeutic approaches.

What you will do

• Train and evaluate state-of-the-art machine learning models for genomics
• Design, perform, and analyze experiments for model applications
• Keep appropriate experimental records and documentation
• Analyze results with the Principal Investigator
• Collaborate with postdocs, students, and employees on model development and data analyses
• May mentor/train research associates, technicians, and students
• Publish, present, and represent the Zhou lab in journals and conferences
• Present at lab meetings, and participate in Arc-wide activities

Required qualifications

• Doctorate (MD, PhD) in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Genetics/Genomics
• Excellent written and verbal communication skills
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player

Nice to have

• Familiar with recently reported projects in the fields of AI for genomics and biological design, including DNA sequence to function models, genome language models, and single-cell foundation models

About the company

Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology. It is based in Palo Alto and partners with Stanford University, UC Berkeley, and UC San Francisco.