Machine Learning Scientist, Foundation Virtual Staining Models (Computational Microscopy - Bioh[...]
Company: Tbwa Chiat/Day Inc
Location: San Francisco
Posted on: May 3, 2025
Job Description:
Machine Learning Scientist, Foundation Virtual Staining Models
(Computational Microscopy - Biohub SF)The Chan Zuckerberg Biohub
San Francisco (CZ Biohub SF) is an independent nonprofit research
institute that brings together three powerhouse universities -
Stanford, UC Berkeley, and UC San Francisco - into a single
collaborative technology and discovery engine. CZ Biohub SF
supports some of the brightest engineers, data scientists, and
biomedical researchers to investigate the fundamental mechanisms
underlying disease and develop new technologies that will lead to
actionable diagnostics and effective therapies. We are guided by
our values of scholarly excellence, disruptive innovation, hands-on
engineering/hacking/building, partnership and collaboration, open
communication and respect, inclusiveness, and opportunity for
all.Our Vision
- We pursue large scientific challenges that cannot be pursued in
conventional environments.
- We enable individual investigators to pursue their riskiest and
most innovative ideas.
- The technologies developed at CZ Biohub San Francisco
facilitate research by scientists and clinicians at our home
institutions and beyond.Diversity of thought, ideas, and
perspectives are at the heart of the CZ Biohub Network and enable
disruptive innovation and scholarly excellence. We are committed to
cultivating an organization where all colleagues feel inspired and
know their work makes an important contribution.The
OpportunityReporting to the Platform Leader of Computational
Microscopy, the Machine Learning Scientist will have the primary
responsibility for developing innovative and impactful AI/ML models
of intracellular dynamics and accelerating CZ Biohub's ambitious
goals of mapping dynamic cell systems across biological scales.
Please include a cover letter describing the match between your
career trajectory and this role (required). If you have letters of
recommendation that you would like to share before the interviews,
please mention them in the cover letter.You will
- Design imaging experiments in collaboration with experimental
colleagues, including discussions in BSL2 (Biosafety Level 2)
laboratory.
- Develop explainability methods that provide actionable insights
in model performance and testable biological hypotheses for
interactions among organelles and cells in the presence of
intrinsic and extrinsic perturbations.
- Contribute to and extend our computational pipelines (e.g., )
for training models with terabyte-scale imaging data acquired with
high throughput live cell screens.
- Train, deploy, and maintain state-of-the-art deep learning
models for use by biologists within the CZ Biohub, partner
universities, and beyond.
- Demonstrate scholarly excellence with regular dissemination of
the findings via papers, presentations, and computational
demonstrations.You have
- MS degree with 3 years of relevant experience or a recent PhD
degree in computer science, bioimaging, clinical imaging, computer
vision, bioengineering, or a related field with AI/ML research
experience.
- 3+ years of experience with Python and relevant deep learning
frameworks (PyTorch, JAX, etc.).
- Strong mathematical foundation in linear algebra, calculus, and
optimization algorithms.
- Track record of preprints or publications focused on computer
vision for imaging data.
- Experience working in Linux environments and familiarity with
version control systems (e.g., git).
- Experience working with terabyte-scale datasets and training
large AI/ML models.
- An appetite to study and build on state-of-the-art research in
AI/ML for cell biology.
- Strong interpersonal skills with excellent written and verbal
communication skills.
- Ability to respond quickly to data and needs of colleagues, and
prioritize work efficiently.Nice to have
- Ability and interest in contributing to community standards and
open source ecosystem.
- Demonstrated problem-solving abilities and judgement to drive
success in a dynamic field.
- Experience with cell biology and data visualization methods
relevant to cell biology.
- Experience using hyperparameter optimization and MLOps
frameworks (PyTorch Lightning, Optuna, MLFlow).CompensationThe San
Francisco, CA base pay range for this role is Machine Learning
Scientist I = $131,000.00 - $180,400.00 and Machine Learning
Scientist II = $150,000.00 - $205,700.00. New hires are typically
hired into the lower portion of the range, enabling employee growth
in the range over time. Actual placement in range is based on
job-related skills and experience, as evaluated throughout the
interview process.What We Provide
- Resources to disrupt and innovate at the frontiers of our
knowledge of biology and disease.
- A collegial and collaborative environment consisting of diverse
expertise.
- Access to collaborators, resources, and facilities at our three
partner universities (Stanford University, UC Berkeley, and UC San
Francisco) and at partner organizations in the SF Bay Area and
beyond.
- Competitive compensation and benefits commensurate with the
experience.If you're interested in a role but your previous
experience doesn't perfectly align with each qualification in the
job description, we still encourage you to apply as you may be the
perfect fit for this or another role.We offer a robust benefits
program that enables the important work Biohubbers do every day.
Our benefits include healthcare coverage, life and disability
insurance, commuter subsidies, family planning services with
fertility care, childcare stipend, 401(k) match, flexible time off,
and a generous parental leave policy. In addition, we honor our
commitment to career development and our value of scholarly
excellence through regular onsite opportunities to learn from the
world's leading scientists.The CZ Biohub Network is an equal
opportunity employer committed to diversity of thought, ideas, and
perspectives. We are committed to cultivating an inclusive
organization where all Biohubbers feel inspired and know their work
makes an important contribution. Therefore, we provide employment
opportunities without regard to age, race, color, ancestry,
national origin, religion, disability, sex, gender identity or
expression, sexual orientation, or any other protected status in
accordance with applicable law.Pursuant to the California Fair
Chance Act, we will consider for employment qualified applicants
with arrest and conviction records.Headhunters and recruitment
agencies may not submit resumes/CVs through this website or
directly to managers. The CZ Biohub Network does not accept
unsolicited headhunter and agency resumes. The CZ Biohub Network
will not pay fees to any third-party agency or company that does
not have a signed agreement with the CZ Biohub Network.Apply for
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Keywords: Tbwa Chiat/Day Inc, San Francisco , Machine Learning Scientist, Foundation Virtual Staining Models (Computational Microscopy - Bioh[...], Other , San Francisco, California
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