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Remote Computational Structural Biology Jobs in California

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $270K/yr

... structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $270K/yr

... structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in ...

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Your hands-on expertise in functional biology assays and computational modeling will define how we ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Metagenomics

San Francisco, CA · On-site +1

$120K - $180K/yr

... in biology. About the Role You will contribute to our technical approach for evaluating how AI ... Working with software engineers and computational biologists, you'll build ground-truth benchmark ...

New

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

Master's or PhD in bioinformatics, genetics, biology, statistics, or related field * 3-5 years of ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Proteomics

San Francisco, CA · On-site +1

$120K - $180K/yr

... biology. About the Role You will contribute to our technical approach to teaching agents how to ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

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All JobsComputational Structural Biology JobsRemote Computational Structural Biology JobsRemote Computational Structural Biology Jobs in California

Remote Computational Structural Biology information

What is remote computational structural biology?

Remote computational structural biology is a field where scientists use computer-based methods to study the structures and functions of biological macromolecules, such as proteins and nucleic acids, from a remote location. This discipline leverages advanced software, molecular modeling, and simulation techniques to analyze biological structures, often collaborating with experimental biologists online. Working remotely allows professionals to access powerful computing resources and databases, contribute to research projects, and interact with international teams without being physically present in a laboratory. It is commonly used in drug discovery, protein engineering, and understanding disease mechanisms.

How does remote work impact collaboration and project management in computational structural biology teams?

Remote computational structural biology teams often rely on digital communication tools and shared data platforms to collaborate on complex projects. While physical distance can pose challenges for real-time discussions and problem-solving, most teams use regular video meetings, collaborative software, and cloud-based resources to coordinate efforts and share findings. Clear documentation and version control are crucial for managing research data and ensuring reproducibility. Team members typically specialize in different aspects, such as modeling, simulations, or data analysis, and work closely together despite being geographically dispersed. This structure allows for flexibility while maintaining high scientific standards and project momentum.

What are the key skills and qualifications needed to thrive as a remote computational structural biologist, and why are they important?

To thrive as a Remote Computational Structural Biologist, you need a strong background in structural biology, molecular modeling, and bioinformatics, typically supported by a Ph.D. or advanced degree in a related field. Proficiency with computational tools such as PyMOL, Rosetta, Chimera, and molecular dynamics software, as well as experience with programming languages like Python or R, is essential. Excellent problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for collaborating with interdisciplinary teams remotely. These competencies ensure accurate data analysis, innovative research contributions, and successful teamwork in a remote scientific environment.

What is the difference between Remote Computational Structural Biology vs Remote Bioinformatics Scientist?

AspectRemote Computational Structural BiologyRemote Bioinformatics Scientist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with structural modeling toolsDegrees in bioinformatics, biology, or computer science; familiarity with genomic data analysis
Work EnvironmentResearch labs, biotech companies, academic institutions; primarily computer-basedResearch institutions, healthcare, biotech; data analysis and software development
Industry UsagePharmaceuticals, academia, biotech firms focusing on protein structuresHealthcare, genomics, biotech firms analyzing biological data

Remote Computational Structural Biology focuses on modeling and analyzing 3D protein structures, requiring specialized knowledge in structural bioinformatics. In contrast, Remote Bioinformatics Scientists work with genomic and biological data, often involving sequence analysis and data interpretation. Both roles are essential in biotech and research industries but differ in their focus and technical skills.

What are the most commonly searched types of Computational Structural Biology jobs in California?

The most popular types of Computational Structural Biology jobs in California are:

What cities in California are hiring for Remote Computational Structural Biology jobs?

Cities in California with the most Remote Computational Structural Biology job openings:

Remote Computational Structural Biology jobs near you
Infographic showing various Remote Computational Structural Biology job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 5 days ago

Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
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