Research Scientist - AI and Biology

Company: Chan Zuckerberg Biohub San Francisco (CZ Biohub SF)

Location: San Francisco, California

About Us

The is a leading independent nonprofit research institute that unites Stanford, UC Berkeley, and UC San Francisco into a collaborative technology and innovation powerhouse. At CZ Biohub SF, we support a community of exceptional engineers, data scientists, and biomedical researchers dedicated to understanding the fundamental mechanisms of disease and developing breakthrough technologies for diagnostics and therapies.

Our Vision

• We tackle large-scale scientific challenges that aren't feasible in typical environments.
• We empower individual scientists to pursue their most risky and innovative ideas.
• The cutting-edge technologies developed here facilitate research by scientists and clinicians at our partner institutions and beyond.

We thrive on diversity of thought, ideas, and perspectives, which are central to our mission of disruptive innovation and scholarly excellence. We are committed to fostering an inclusive environment where all team members feel valued and impactful.

The Opportunity

Reporting to the Director of Computational Biology and Data Science, the Research Scientist will lead the development of multimodal data fusion strategies and the creation of innovative AI/ML models to support research at CZ Biohub San Francisco.

Key Responsibilities

• Develop and implement multimodal data fusion strategies.
• Build, deploy, and maintain advanced deep learning models for multimodal cellular readouts.
• Create innovative modeling approaches (e.g., deep generative models, foundation models) for diverse biological data across multiple scales (cell, tissue, organism).
• Collaborate with interdisciplinary teams in a dynamic scientific and engineering culture.
• Write and present findings at scientific conferences.

Qualifications

Essential

• PhD in Computer Science, Bioengineering, Computational Biology, or a related field with a focus on AI/ML.
• 3+ years of experience with Python and major deep learning libraries (TensorFlow or PyTorch).
• Proven publication track record in machine learning applied to biological data.
• Experience with large multimodal datasets and training large AI/ML models.
• Proficiency in Linux environments and version control systems (e.g., git).
• A passion for staying current with state-of-the-art research in machine learning and multimodal reasoning.
• Strong professional judgement and problem-solving skills.
• Excellent interpersonal, written, and verbal communication skills.
• Ability to adapt and prioritize in a fast-paced environment.

Nice to Have

• Knowledge of learning paradigms beyond supervised learning.
• Experience with deep generative models like variational autoencoders and generative adversarial networks.
• Working knowledge of cell biology and omic data normalization.

COVID-19 Vaccination Policy

All employees, contractors, and interns at the Chan Zuckerberg Biohub are required to provide proof of full COVID-19 vaccination, including a booster dose if eligible, by their start date. Exceptions are available for those with a disability or a sincerely held religious belief.

Compensation

Salary Range: $187,000 - $205,700

What We Provide

• Resources to innovate at the frontiers of biology and disease knowledge.
• A collaborative environment with diverse expertise.
• Collaborations within CZ Biohub and with leading partner institutions.
• Competitive compensation and benefits commensurate with experience.

Benefits

We offer a comprehensive benefits program including healthcare coverage, life and disability insurance, commuter subsidies, family planning services, childcare stipend, 401(k) match, flexible time off, and generous parental leave. We are dedicated to career development and scholarly excellence through onsite learning opportunities from leading scientists.

Equal Opportunity Employer

The CZ Biohub Network is an equal opportunity