Postdoctoral Researcher, Zhou Lab at Arc Institute

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning Models, Genomics, Deep Learning, Computational Biology, Genetics, Data Visualization, ML Tool Building, Generative AI, DNA Sequence Modeling, Gene Regulation, Perturbation Modeling, Genome Mining, Molecular Technology Development, Experimental Design, Data Analysis, Scientific Research

Industry

Biotechnology

Description

About Arc Institute The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley. While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include: Funding: Arc fully funds Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants. Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. Support: Arc aims to provide first-class support—operationally, financially, and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction. Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration. Arc has scaled to over 350 people to date. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years. About the position The Zhou Lab is looking for motivated, hard-working and curious applicants. Our expertise is in single-cell epigenomic modeling. We use high-throughput single-cell multiomic technologies and build computational models to study spatiotemporal dynamics of gene regulation. The successful candidate will play a crucial role in advancing the state-of-the-art in generative AI applied to biology, including DNA sequence, gene regulation, and perturbation modeling. You will focus on developing ML models for biological data, leveraging frontier approaches such as novel ML architectures, interpretability techniques, and more. You will also apply your models for important computational biology applications in genome mining, molecular technology development, and invention of new therapeutic approaches. This role is a unique opportunity to advance state-of-the-art machine learning in genomics and cell biology, contribute to high-impact scientific discoveries, and help define how computational approaches shape our understanding and engineering of biology. You will work in a highly collaborative team with expert experimental biologists to realize the full impact of your work, and also have the opportunity to contribute to Institute-wide machine learning efforts such as Arc’s Virtual Cell Initiative. Post-docs will be encouraged to lead independent projects resulting in high impact publications, present at conferences and prepare for long-term careers in academia or industry. About you You are passionate about developing machine learning models with real-world applications and scientific impact. You have a strong understanding of modern deep learning, computational biology, and genetics. You are known for your ability to analyze/visualize complex datasets, build high-quality ML tools, draw meaningful conclusions, and work effectively in a multidisciplinary team. You are eager to learn and adapt new techniques. You are intellectually independent and are able to design new research directions and projects with input from your PI. You are excited about collaborating with a multidisciplinary team of experimental biologists and machine learning researchers at Arc. You are 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. In this position you will 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 (seminars, science socials, symposiums, etc). Requirements 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. How to Apply Please submit: CV Brief cover letter describing your research interests, what kinds of projects you’re excited to lead, and why the Zhou Lab is a fit. Please be sure to include contact information for 3+ references. The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.

Responsibilities

The role involves training and evaluating state-of-the-art machine learning models for genomics, designing and analyzing experiments for model applications, and collaborating with a multidisciplinary team on model development and data analyses. Responsibilities also include publishing findings, presenting at conferences, and potentially mentoring junior staff.