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Remote Computational Structural Biology Jobs (NOW HIRING)

GondolaBio

Senior Biological Data Scientist

$155K - $205K/yr

S.-based remote role with periodic travel (quarterly or as needed) to GondolaBio's Palo Alto office or conference locations. Requirements Who You Are Required: * PhD in Computational Biology ...

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Structural Biology and the Center for Eukaryotic Gene Regulation. The laboratory is seeking a ...

Higharc

Sr. Software Engineer, Structural

Austin, TX · Remote

$102K - $139K/yr

Familiarity with computational geometry and mathematical modeling. * Professional fluency with ... Remote work means more time with family, less time commuting, and the flexibility to blend work and ...

Higharc

Sr. Software Engineer, Structural

San Francisco, CA · Remote

$102K - $139K/yr

Familiarity with computational geometry and mathematical modeling. * Professional fluency with ... Remote work means more time with family, less time commuting, and the flexibility to blend work and ...

Higharc

Sr. Software Engineer, Structural

New York, NY · Remote

$102K - $139K/yr

Familiarity with computational geometry and mathematical modeling. * Professional fluency with ... Remote work means more time with family, less time commuting, and the flexibility to blend work and ...

Higharc

Sr. Software Engineer, Structural

New York, NY · On-site +1

$110K - $149K/yr

Familiarity with computational geometry and mathematical modeling. * Professional fluency with ... Remote work means more time with family, less time commuting, and the flexibility to blend work and ...

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 ...

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 ...

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Remote Computational Structural Biology information

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How much do remote computational structural biology jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote computational structural biology in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.

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 cities are hiring for Remote Computational Structural Biology jobs?

Cities with the most Remote Computational Structural Biology job openings:

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

The most popular types of Computational Structural Biology jobs are:

What states have the most Remote Computational Structural Biology jobs?

States with the most job openings for Remote Computational Structural Biology jobs include:

Remote Computational Structural Biology jobs near you
Infographic showing various Remote Computational Structural Biology job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.

Senior Biological Data Scientist

GondolaBio

Remote

$155K - $205K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Job description

About GondolaBio
GondolaBio is a clinical-stage biopharmaceutical company focused on developing breakthrough therapeutics for genetic diseases. GondolaBio is an independent sister company to BridgeBio, originally carved out in 2024 after securing $300M in private financing from external investors. GondolaBio aims to leverage cutting-edge biological research to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases.
What You'll Do
You will design and execute integrative computational analyses spanning multiomics datasets to accelerate therapeutic discovery in rare and genetically defined diseases. Working independently in a collaborative, data-driven environment, you will identify opportunities where diverse biological data can answer challenging scientific questions, generate therapeutic hypotheses, and advance biomarker discovery. You will leverage AI-enabled computational approaches to accelerate scientific discovery while applying sound scientific judgment throughout the research process.
Responsibilities
  • Design, execute, and interpret integrative computational analyses spanning transcriptomic, proteomic, genetic, and other biological data modalities to support target identification, biomarker discovery, mechanism-of-action studies, and translational research.
  • Integrate public and internal datasets to generate, prioritize, and refine therapeutic hypotheses across diverse disease programs.
  • Collaborate closely with cross-functional scientists to translate computational analyses into actionable scientific insights.
  • Communicate results clearly and effectively through presentations, written reports, and contributions to scientific publications and conferences.

Where You'll Work
This is a U.S.-based remote role with periodic travel (quarterly or as needed) to GondolaBio's Palo Alto office or conference locations.
Requirements
Who You Are
Required:
  • PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative discipline with 5+ years of industry and/or postdoctoral experience applying computational methods to large-scale biological datasets.
  • Demonstrated experience integrating transcriptomic, proteomic, genetic, and related biological datasets to answer complex scientific questions.
  • Experience supporting biomarker discovery, translational research, or target identification in a biotechnology or pharmaceutical setting.
  • Working proficiency in Python for scientific computing and data analysis.
  • Comfortable tackling unfamiliar biological problems by rapidly learning new disease areas, identifying appropriate datasets, and integrating diverse evidence into actionable scientific insights.
  • Excellent communication skills and the ability to thrive as an independent contributor in a collaborative, fast-moving research environment.

Preferred:
  • Experience with transcriptomic approaches, particularly single-cell RNA sequencing. Experience with spatial transcriptomics or related cellular profiling technologies is strongly preferred.
  • Experience using large language models and agentic AI workflows to accelerate computational biology research, with appropriate scientific validation of outputs.
  • Deep expertise in at least one area of computational biology while contributing broadly across multiomics analyses.

What We Offer
  • Patient Days, where we are fortunate to hear directly from individuals living with the conditions we are seeking to impact throughout the year and learn how we can improve our efforts.
  • A culture inspired by our values: put patients first, think independently, be radically transparent, every minute counts, and let the science speak.
  • An unyielding commitment to always putting patients first.
  • A decentralized model that enables our program teams to focus on advancing science and helping patients. Our affiliate structure is designed to eliminate bureaucracy and put decision-making power in the hands of those closest to the science.
  • A place where you own the vision - both for your program and your own career path.
  • A collaborative, fast-paced, data-driven environment where we inspire ourselves and each other to always perform at the top of our game.
  • Access to learning and development resources to help you get in the best professional shape of your life.
  • Robust and market-competitive compensation & benefits package (Base, Performance Bonus, Equity, health, welfare & retirement programs).
  • Flexible PTO.
  • Rapid career advancement for strong performers.
  • Potential ability to work on multiple GondolaBio Pharma programs across multiple therapeutic areas over time.
  • Commitment to Diversity, Equity & Inclusion.

Compensation
The base pay range for this position is $155,000 to $205,000 per year. The actual compensation offered will be determined based on a number of job-related factors, including experience, skills, qualifications, and location. A bonus plan and equity will also be offered.
Equal Employment Opportunity
GondolaBio ServiceCo is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Employees of BridgeBio and all affiliated companies should work through their managers to inquire about and learn more about this role.

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