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Computational Biophysics Jobs in California (NOW HIRING)

Astera

Scientist - Computational Biophysics

Emeryville, CA · On-site

$100K - $180K/yr

The diffUSE Project is an ambitious initiative designed to advance our understanding of protein dynamics by building the experimental methods, computational models, and global infrastructure needed ...

Saint Louis University

$55K - $74K/yr

Premila's research group ( at Saint Louis University invites applicants for a postdoctoral research associate position in computational biophysics. The successful candidate will lead project(s ...

Astera

General DiffUSE Job Application

Emeryville, CA · On-site

$100K - $300K/yr

We work at the interface of structural biology (crystallography, cryo-EM), modern machine learning, computational biophysics, and open scientific tooling. Our team spans computational biologists, ML ...

Verge Genomics

Computational Biologist

San Francisco, CA · On-site +1

PhD in computational biology, AI/ML, applied statistics, biophysics, or , * MS and professional experience in relevant fields. * ≥5 years of experience working in applied computational biology and ...

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How much do computational biophysics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for computational biophysics in California is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $72.60 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a computational biophysicist?

To excel in Computational Biophysics, you generally need advanced knowledge in physics, biology, and mathematics, with a graduate degree (often a Ph.D.) in a related field. Expertise in scientific programming languages (such as Python, C++, or MATLAB), experience with molecular modeling software (e.g., GROMACS, NAMD), and familiarity with high-performance computing environments are essential. Strong analytical thinking, attention to detail, and effective collaboration skills distinguish top performers. These competencies enable professionals to develop and interpret complex simulations, solve biological problems, and contribute significantly to interdisciplinary research teams.

What is a computational biophysicist?

A Computational Biophysics job involves using theoretical models, simulations, and computational tools to study biological systems at a molecular or biophysical level. Professionals in this field apply physics, mathematics, and computer science to analyze biomolecular structures, dynamics, and interactions. They work in academia, pharmaceutical companies, or biotech industries, contributing to drug discovery, protein modeling, and materials science. Strong skills in programming, statistical analysis, and molecular dynamics simulations are essential.

What do computational biophysicists do?

Computational Biophysicists are often engaged in projects such as simulating molecular dynamics, investigating protein folding, drug binding, or membrane behavior, and developing models to understand biological systems at the atomic or molecular level. They frequently collaborate with experimental scientists to interpret data and validate computational predictions, making teamwork and communication skills vital. Typical daily tasks may include running large-scale simulations, analyzing data, writing code for custom analysis, and preparing reports or scientific publications. This role offers diverse challenges and opportunities to contribute to advancements in areas like drug discovery, structural biology, and materials science.

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Infographic showing various Computational Biophysics job openings in California as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $112,753 per year, or $54.2 per hour.

Scientist - Computational Biophysics

Astera

Emeryville, CA • On-site

$100K - $180K/yr

Full-time

Re-posted 6 days ago

Job description

About Astera:
Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.
Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.
About the Role:
We are seeking a scientist to join the diffUSE Project, which focuses on developing next-generation protein representations that bridge dynamic structural biology to downstream functional applications. The diffUSE Project is an ambitious initiative designed to advance our understanding of protein dynamics by building the experimental methods, computational models, and global infrastructure needed to capture molecular motion at scale. Our goal is to establish dynamic structural biology as a foundational pillar of modern science, as transformative and indispensable as the Protein Data Bank has been for static structures.
In this role, you will help build ensemble-aware protein representations and/or metrics to enable the integration with other inputs such as protein language model (PLM), ligand binding data, mutational data, and/or functional information. You will design and maintain large-scale bioinformatic pipelines, manage complex datasets, develop metrics for dynamics and/or fine-tune or architect ML models to capture sequence-structure-function relationships. A key part of the role involves synthesizing diverse data sources to improve biological relevance. You will work closely with experimental collaborators to ground computational insights in real biological systems.
Key Responsibilities:
  • Build ensemble-aware protein representations that integrate PLM and LLM embeddings with experimentally derived structural heterogeneity for functional prediction
  • Design, develop, and maintain large-scale bioinformatic pipelines capable of processing and managing complex, high-dimensional datasets
  • Fine-tune or architect ML models to capture sequence-structure-function relationships, with a focus on dynamic and conformational features
  • Synthesize diverse data sources spanning evolutionary history, binding affinity, allostery, and functional annotations to improve model performance and biological relevance
  • Collaborate closely with experimental partners to ground computational representations in real biological measurements and ensure models are continuously refined against experimental ground truth
  • Contribute to the broader diffUSE infrastructure, helping establish community-wide standards and tools for dynamic structural biology

Required Skills and Qualifications:
  • PhD in bioinformatics, computational biology, machine learning, or a related field.
  • Strong understanding of protein structure and function.
  • Demonstrated experience building large bioinformatic pipelines and managing high-dimensional datasets.
  • Proficiency in fine-tuning or modifying ML models (e.g., transformer-based architectures).
  • Familiarity with protein language models (ESM, AlphaFold, etc.) is a plus.
  • Collaborative, team-oriented mindset with the ability to drive research questions from conception to execution.

Compensation
Commensurate with experience.
  • Benefits summary

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