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Remote Structural Biology Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... structural proteomics, or systems-level analysis of molecular and cellular biology. Research may ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... structural, glycomic, or single-cell multi-omics data a plus. Familiarity with biological databases ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Requirements A PhD in Biophysics, Physics, Biological Physics, or Quantitative Biology or a closely ...

Cradle

We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote ... Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics ...

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How much do remote structural biology jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote structural biology in the United States is $99,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is remote structural biology?

Remote structural biology refers to the study and analysis of biological macromolecules' structures (like proteins and nucleic acids) using computational tools and online platforms, rather than working in a physical laboratory. Scientists in this field often use software for molecular modeling, data analysis, and remote access to experimental facilities such as synchrotrons. This approach allows researchers to collaborate globally, access specialized equipment, and analyze structural data from anywhere with an internet connection.

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

To thrive as a Remote Structural Biologist, you need a strong background in biochemistry, molecular biology, and structural analysis, often supported by a relevant advanced degree (PhD or MSc). Proficiency with structural biology tools such as X-ray crystallography, cryo-EM, NMR spectroscopy, and computational modeling software (e.g., PyMOL, Chimera, or Rosetta) is essential. Exceptional analytical thinking, attention to detail, and clear virtual communication skills set top performers apart in remote environments. These skills are crucial for accurately interpreting molecular structures, collaborating effectively across distances, and advancing research in structural biology.

What are the typical challenges faced by structural biologists working in a fully remote environment?

Remote structural biologists often face challenges related to accessing specialized equipment, such as cryo-EM or X-ray crystallography facilities, which are typically available only in well-equipped labs. Collaboration and data sharing with team members can also be more complex, requiring robust digital workflows and frequent virtual meetings to ensure alignment. However, many organizations address these challenges by providing remote access to computational resources, cloud-based data storage, and encouraging strong communication through project management tools. Building relationships with colleagues and maintaining up-to-date knowledge of advancements may require greater initiative in a remote setting, but virtual conferences and online seminars can help bridge the gap.
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Remote Structural Biology jobs near you
Infographic showing various Remote Structural Biology job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% Remote job distribution, with an average salary of $99,400 per year, or $47.8 per hour.

Modeling Engineer/Scientist (Contract-to-Hire) (Remote)

Fulcrum Neuroscience, Inc.

South San Francisco, CA • Remote

Full-time, Contractor

Posted 13 days ago

Job description

About Fulcrum

Fulcrum Neuroscience is a biotech startup developing new therapeutic approaches to Alzheimer's disease and other neurodegenerative conditions. At the heart of Fulcrum's approach is a unique computational platform: the Brain Health and Neurodegeneration (BHN) world model, reconciling over 1,800 literature and data sources, and an underlying AI-enabled, digital twin computational engine. This platform enables Fulcrum scientists to explore target and therapeutic alternatives, identify biomarker patterns, and design lab and clinical experiments.

The BHN model is an explicit, mechanistic, causal representation of brain homeostasis and neurodegeneration grounded in mass balance, energy flow, and feedback loops, and built to interpret experimental and clinical data rather than merely fit it. It functions as a structured, evolving repository of biological knowledge, enabling simulation of disease progression, digital twin inference, and population-level insight.

The Role

Reporting to the Chief Technology Officer, you will help expand and deepen the BHN model and continue to develop the AI-driven platform that builds it. This is a hands-on modeling role at the intersection of computational biology, systems engineering, and applied AI a bridge between the science and the engineering.

Your work will include:

  • Extending the depth and breadth of the BHN model, including expansion into additional neurodegenerative diseases.
  • Developing and refining ODE-based mechanistic models of biological processes, from equations and level of abstraction through to integrated modules.
  • Using the BHN model to analyze target opportunities, support therapeutic development and optimization, and design experiments for the lab and for clinical trials.
  • Collaborate with software developers in the AI-driven workflows and tooling that accelerate model development and analysis, including chat and visualization interfaces, to enable modelers and scientists to interact with BHN.
  • Creating clear annotations and documentation of model and software architecture and code.

This is an opportunity to work with pioneers in biological modeling and quantitative systems pharmacology (QSP) to make an impact on the treatment of neurodegenerative disease while working at the leading edge of modeling techniques and technology infused with AI.

The ideal candidate would be based in the San Francisco Bay Area and able to travel to the company's office in South San Francisco, CA one day per week. Remote candidates should be willing to travel to South San Francisco, CA every 1-2 months.

Qualifications

Required

  • Advanced degree (PhD, or MS with relevant experience) in systems biology, biomedical or chemical engineering, computational biology, applied mathematics, or a related quantitative discipline. Open to candidates coming directly from a PhD or postdoc.
  • Demonstrated experience developing ODE-based models of complex nonlinear systems.
  • Hands-on experience using AI tools to support model development and analysis.
  • Strong scientific communication skills and the ability to work across the scienceengineering boundary.

Highly Desired

  • Demonstrated experience developing ODE-based biological models.
  • Familiarity with Bayesian inference, management of structural and parametric uncertainty and variability, in complex dynamic models.
  • Experience with AI-assisted coding (vibe coding) and skill development for agentic workflows.
  • Experience with Mathematica.
  • Experience working in a pharma or biotech organization.
  • Familiarity with neurodegeneration, aging biology, or brain physiology.

What We Offer

  • The chance to shape a first-of-its-kind mechanistic, causal model of brain health at an early-stage company.
  • Co-authorship on publications emerging from your contributions.
  • Meaningful early-stage equity and contract rate commensurate with experience.

This is a full-time, contract-to-hire role: we intend it as a path to full-time employment.

Direct applicants only, please. We are not working with staffing agencies or third-party recruiters for this contract opportunity and are not accepting agency-submitted candidates.