Top 53 Postdoctoral Jobs in Uc Berkeley Ca

Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)
Episteme Inc. —San Francisco, CA
- $120,000 - $140,000 a year
- Computer Science
- Analysis skills
- Math
- Paid parental leave
- AD&D insurance
Quick Apply
Postdoctoral Fellow - Human Genetics, Bhangale Lab
Genentech —San Francisco, CA
- $110,000 - $120,000 a year
- Online Application
- Doctor of Philosophy
- Senior level
- Python
Quantum Experimentalist Postdoctoral Fellow
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $6,924 - $8,026 a month
- Urgently hiring
- Background check
- Doctor of Philosophy
- Senior level
- Health insurance
- 401(k)
Quantum Engineering Postdoctoral Fellow
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $6,924 - $8,026 a month
- Urgently hiring
- Background check
- 3 years
- Doctor of Philosophy
- Health insurance
- 401(k)
Clinical Psychologist Postdoctoral Fellow
Edgewood Center for Children and Families —San Francisco, CA
- $80,000 - $88,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Clinic experience
- Outpatient experience
- 403(b) matching
- Commuter assistance
Quick Apply
Postdoc - Stem Cell Disease Modeling and Precision Medicine - Innovative Genomics Institute
University of California Berkeley —Berkeley, CA
- $69,073 - $77,030 a year
- Online Application
- 3 years
- University
- Doctor of Philosophy
11d
Postdoctoral Fellow, Cell Therapy/Immunology, Ng and Kim Labs
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Temporary
- Doctor of Philosophy
- Senior level
- Communication skills
Postdoctoral Fellow - Protein Sciences, Ciferri Lab
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Online Application
- Doctor of Philosophy
- Senior level
- Communication skills
Postdoctoral Fellow, Cell Therapy/Immunology, Ng and Kim Labs
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Online Application
- Doctor of Philosophy
- Senior level
- Communication skills
Postdoctoral Fellow - Protein Sciences, Ciferri Lab
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Online Application
- Doctor of Philosophy
- Senior level
- Communication skills
Postdoctoral Scholar - Systems Biology & Phage Therapy
Gladstone Institutes —San Francisco, CA
- Full-time
- Senior level
- Commuter assistance
- Health insurance
Postdoctoral Fellow – Technology Development (Regev & Lubeck Labs)
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Temporary
- Doctor of Philosophy
- Computer skills
- Senior level
Postdoctoral Fellow - Discovery Oncology, Foster Lab
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Temporary
- Doctor of Philosophy
- Senior level
- Communication skills
Postdoc Employee-The Building Blocks of Cognition Laboratory - Psychology
University of California Berkeley —Berkeley, CA
- $71,491 - $85,736 a year
- Online Application
- Analysis skills
- University
- Doctor of Philosophy
4d
Postdoctoral Fellow-Discovery Protein Science
Amgen —South San Francisco, CA
- $85,238 - $115,322 a year
- Doctor of Philosophy
- In-person
- Senior level
- Disability insurance
- Health insurance
Postdoc - Evolutionary Genomics - Molecular and Cell Biology
University of California Berkeley —Berkeley, CA
- $69,073 - $77,030 a year
- Online Application
- 3 years
- University
- Doctor of Philosophy
Member of Research Staff (C. elegans Neural Activity Imaging Postdoc)
Episteme Inc. —San Francisco, CA
- $100,000 - $120,000 a year
- Analysis skills
- Doctor of Philosophy
- Senior level
- Paid parental leave
- AD&D insurance
Quick Apply
Postdoctoral Fellow - Discovery Oncology, Foster Lab
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Online Application
- Doctor of Philosophy
- Senior level
- Communication skills
Postdoctoral Scholar – Protein Engineering and Bioconjugation for Cellular Force Microscopy
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $84,336 - $94,020 a year
- Full-time
- Background check
- 3 years
- Doctor of Philosophy
Postdoctoral Fellow – Imaging Technology and Compound Screening, Regev & Singh Labs
Genentech —San Francisco, CA
- $100,000 - $106,500 a year
- Temporary
- Analysis skills
- Doctor of Philosophy
- Senior level
5d

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Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)

Episteme Inc. -
San Francisco, CA

Quick Apply

Job Details

$120,000 - $140,000 a year

Benefits

Paid parental leave
AD&D insurance
Disability insurance
Relocation assistance
Health insurance
Unlimited paid time off
Dental insurance
Paid time off
Parental leave
Vision insurance
Life insurance

Qualifications

AI models
Software engineering
Computational research
Computer Science
Applied Mathematics
Neuroscience
Predictive modeling analysis
PyTorch
Software implementation
Generative models
AI platforms (beyond public GPTs)
Computational framework
Computational modeling
Collaborative research
Doctoral degree in Computer Science
Analysis skills
Machine intelligence
Math
Inferential statistics
Doctor of Philosophy
Model deployment
Implementation (software development lifecycle)
Research project planning
Neural networks
Predictive analytics projects
Machine learning libraries
Senior level
Cross-functional collaboration
Research & development
Machine learning frameworks

Full Job Description

About Episteme

Episteme is a new kind of R&D company built for people who want their work to matter in the world. We support exceptional researchers pursuing ambitious, translational science; work that often struggles to find the right home within traditional academic or corporate institutions. At Episteme, we provide the financial, infrastructural and operational support that allows researchers to focus on the problems that genuinely deserve their attention.

We work closely with researchers to move ideas from early insight to real-world application. Translation is part of the work, not an afterthought. When breakthroughs are ready, we help bring them into the world responsibly, including through commercialization when appropriate.

Working at Episteme means joining a company that is intentionally different. We are building something new, and that requires comfort with ambiguity, intellectual honesty, and a bias toward thoughtful execution. You will work alongside people from many disciplines who care deeply about rigor, impact and follow-through. We value clarity over complexity, ownership over passivity and collaboration without micromanagement. Roles evolve through contribution and trust rather than rigid job descriptions, and ideas are tested quickly, decisions are made explicitly, and learning is shared openly so the system improves faster than any individual.

What We Look For

This is a Member of Research Staff role, equivalent in scope and career stage to a postdoctoral researcher position. The position is about developing statistical and machine learning models that process, explain, and predict neural dynamics from large-scale experimental recordings.

You will work within the research group of Dr. Michael Skuhersky, contributing to a broader effort to decode and model neural dynamics in C. elegans by combining experimental observations with computational models. Working closely with both computational and experimental scientists, you will develop and deploy machine learning models for imaging data, neural activity traces, and predictive and causal modeling of neural circuits.

You have strong foundations in machine learning and statistical modeling and are excited by the challenge of applying those tools to difficult scientific questions. You understand that biological systems are noisy, incomplete and often resistant to simple explanations. Rather than treating this complexity as a limitation, you see it as an opportunity to build better models and ask better questions.

You operate with a high degree of independence within a defined research scope. You can take broad objectives and translate them into experiments, analyses, and models while exercising sound scientific judgment. You know when to push forward independently and when to seek input from collaborators.

You are motivated by learning, discovery, and scientific rigor. You care not only whether a model performs well, but also whether it improves understanding, generates useful hypotheses, and helps move the field forward.

Research Focus Areas

Predictive modeling of neural activity from optical recordings
Integration of multimodal priors including imaging, behavior, and connectomics
Statistical inference and causal analysis of circuit-level dynamics
Development of advanced machine learning approaches including graph neural networks, symbolic regression, mechanistic models, and statistical learning methods
Mathematical frameworks connecting learned representations with mechanistic hypotheses of neural and circuit function

Key Responsibilities

Develop and test ML models for processing and integrating multi-modal data priors (e.g., calcium imaging, connectomics, and voltage dynamics of individual neurons and circuits)
Develop and test ML models for predicting neural activity and behavior from experimental datasets
Explore advanced deep learning methods (e.g., symbolic regression, GNNs, Transformers, generative models) to inform neural models from data and enhance interpretability
Apply statistical and causal inference methods to identify candidate circuit mechanisms
Develop models and software that can be broadly adopted by the scientific community through open-source or commercial distribution models.
Contribute to the collaborative, interdisciplinary environment of the project
Follow a structured research plan, with defined tasks and milestones.

What Success Looks Like

Success is reflected in the quality, rigor and usefulness of the work you produce.

Machine learning models developed by the group become more predictive, interpretable and scientifically meaningful because of your contributions. Experimental and computational researchers are able to learn faster because your work helps clarify which hypotheses deserve further investigation and which do not.

Your models generate genuine scientific insight rather than simply improving benchmark performance. They help connect observations, mechanisms, and predictions in ways that improve understanding of neural circuit function.

You consistently deliver high-quality research with minimal supervision, make sound decisions within your scope of responsibility, and contribute positively to the progress of the broader research program.

Even when experiments or models fail, they produce useful learning that improves future work.

Over time, your contributions become a trusted part of how the team understands neural dynamics and approaches increasingly difficult scientific questions.

Who Thrives in This Role

You have strong Machine Learning foundations and a deep interest in applied neuroscience.

You are technically strong but intellectually humble. You care about evidence, are willing to revise your assumptions, and are comfortable operating in areas where answers are not known in advance.

You understand what model features will increase the utility of the model to the relevant scientific and industrial communities.

You are excited by difficult, high-dimensional datasets and enjoy developing new approaches when existing methods fall short. You can move comfortably between mathematical reasoning, software implementation, model development, and scientific interpretation.

You work well independently but value collaboration. You enjoy discussing ideas, sharing work early, and improving your thinking through interaction with researchers from different backgrounds.

You care deeply about rigor and transparency. You surface uncertainty clearly, challenge weak assumptions, and avoid overstating conclusions.

Above all, you are motivated by the opportunity to contribute to ambitious scientific problems that have the potential to change how we understand biological intelligence.

Background We Typically See

We care more about scientific judgment and technical capability than credentials. We typically see:

Ph.D. in Computer Science, Applied Mathematics, Computational Neuroscience, Machine Learning, or a related field
Strong track record developing machine learning methods for multidimensional signal, image, or sequence data
Experience building models across predictive, generative, classification, or regression tasks
Demonstrated expertise in statistical modeling, predictive analysis, and causal inference
Experience developing impactful computational tools, models, or software systems
Proficiency with Python and modern machine learning frameworks such as PyTorch or JAX
Strong scientific communication and collaborative software development practices

Exceptional candidates may come from different paths. What matters most is the ability to apply machine learning thoughtfully to difficult scientific problems and generate meaningful scientific insight.

What We Offer

We offer competitive compensation and comprehensive benefits, including:

Unlimited Paid Time Off (PTO), plus 12 company holidays
Comprehensive medical, dental, and vision coverage
100% company-paid short-term disability, long-term disability, basic life insurance, and AD&D insurance
16 weeks of fully paid parental leave
Relocation assistance for qualifying relocations

Quick Apply

Refine Your Search

postdoctoral jobs in uc berkeley ca

Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)

Postdoctoral Fellow - Human Genetics, Bhangale Lab

Quantum Experimentalist Postdoctoral Fellow

Quantum Engineering Postdoctoral Fellow

Clinical Psychologist Postdoctoral Fellow

Postdoc - Stem Cell Disease Modeling and Precision Medicine - Innovative Genomics Institute

Postdoctoral Fellow, Cell Therapy/Immunology, Ng and Kim Labs

Postdoctoral Fellow - Protein Sciences, Ciferri Lab

Postdoctoral Fellow, Cell Therapy/Immunology, Ng and Kim Labs

Postdoctoral Fellow - Protein Sciences, Ciferri Lab

Postdoctoral Scholar - Systems Biology & Phage Therapy

Postdoctoral Fellow – Technology Development (Regev & Lubeck Labs)

Postdoctoral Fellow - Discovery Oncology, Foster Lab

Postdoc Employee-The Building Blocks of Cognition Laboratory - Psychology

Postdoctoral Fellow-Discovery Protein Science

Postdoc - Evolutionary Genomics - Molecular and Cell Biology

Member of Research Staff (C. elegans Neural Activity Imaging Postdoc)

Postdoctoral Fellow - Discovery Oncology, Foster Lab

Postdoctoral Scholar – Protein Engineering and Bioconjugation for Cellular Force Microscopy

Postdoctoral Fellow – Imaging Technology and Compound Screening, Regev & Singh Labs

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About Episteme

What We Look For

Research Focus Areas

Key Responsibilities

What Success Looks Like

Who Thrives in This Role

Background We Typically See

What We Offer

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