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Remote Computational 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 ...

Dana-Farber Cancer Institute

$200K - $450K/yr

... structural biology, metabolism, genomics, proteomics and computational biology. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing ...

SPT Labtech

Field Application Scientist

San Diego, CA · Remote

Provide on-going remote and in-person applications support to end-users. * Develop, modify, and ... Good understanding of genomics, drug discovery, and structural biology. * Practical experience with ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The laboratory employs integrative genomic and computational approaches in cattle and mouse models ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS Postdoctoral Scholar (Computational Biology) The National Synthesis Center for ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The focus of this search is on candidates with expertise in areas such as computational biology ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Biology with a computational emphasis * Or a related quantitative life sciences discipline ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational, theoretical, or data-driven approaches in molecular and cellular biology. Research ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... for Structural Biology, at Penn State seeks a postdoctoral scholar to study the structure and ...

Weekday AI

Biology Expert (PhD) - AI Safety

$65 - $70/hr

Strong understanding of modern laboratory methodologies and computational techniques relevant to ... Fully remote with flexible scheduling. Equal Opportunity We are committed to fostering an inclusive ...

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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.

Product Management Lead

Genesis Molecular AI

San Mateo, CA • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

Genesis Molecular AI is pioneering a transformative approach to drug discovery by leveraging state-of-the-art machine learning, computational chemistry, and biology. Our mission is to accelerate the development of life-changing therapies by merging cutting-edge technology with innovative science. We are building a world-class team to drive forward the future of drug discovery.
About the Team:
We are a mission-driven group of scientists and engineers using cutting-edge computational methods to discover drugs for unmet medical needs. Our work spans machine learning, computational chemistry, biology, and wet lab experimentation, all operating within a high-trust, deeply technical environment.
You'll join a team with extremely strong ML talent that is actively pushing the frontier of AI in drug discovery. We are refining how experimental data, biological context, and computational models integrate into a seamless feedback loop.
You will help reshape how data flows from experiment → infrastructure → model → decision and increase the speed and scale at which we learn.
The Role
This is a builder-integrator role inside a deeply technical, cross-domain environment spanning AI/ML, engineering, computational chemistry, biology, and wet lab operations. You will serve as the connective tissue and acceleration engine across these domains.
You will work closely with senior leadership to own roadmap definition and execution across critical internal platforms while driving structural improvements in how our teams operate.
This role exists to:
  • Bridge domain silos and reduce friction between ML experimentation and biological context
  • Operate at both the strategic systems level and the fiddly operational detail level
  • Get hands dirty when needed
  • Close the AI ↔ Chem loop so lab data is captured in standardized form, accessible for model training, and drives measurable model performance improvements
  • Increase iteration speed by an order of magnitude from research idea to validated result
  • Standardize execution across programs so we can scale programs without reinventing workflows

The products you'll work on include:
  • Nucleus, our internal platform that houses the GEMS AI system that enables all of our drug discovery programs.
  • Our computational methods research platform - the data, analysis and pipelining platform that powers new physics and AI methods development.
  • You will own the product roadmap, prioritize initiatives, and drive the execution of projects that support our mission to revolutionize drug discovery.

Responsibilities
  • Roadmap Ownership: Define, maintain, and communicate the technical and scientific product roadmap in alignment with company goals, ensuring prioritization of impactful projects.
  • User research and design: Deeply understand user needs, translate workflow complexity into simple and effective product design.
  • Team Collaboration and Translating Across Domains: Facilitate effective collaboration among software engineers, ML researchers, and computational chemistry scientists, acting as a glue to bridge technical and scientific perspectives.
  • Stakeholder Engagement: Act as the primary point of contact for internal stakeholders, gathering input and communicating progress effectively.
  • Data-Driven Decision Making: Leverage data and feedback to make informed decisions and iterate on product features.
  • Product Strategy: Translate company objectives into actionable product plans, ensuring alignment with user needs and strategic goals.
  • Execution Leadership: Drive projects from concept to completion, ensuring high-quality deliverables on time and within scope.
  • Risk Management: Identify potential risks in product development and proactively implement mitigation strategies.

Within 12 months, success in this role should look like:
  • A functionally closed AI ↔ Chem loop
  • Measurable performance gains from internal data
  • Faster model-lab feedback cycles
  • Standardized, scalable execution playbooks replacing heavy customization
  • Direct contribution to major method launches by bridging scientific insight and product execution

Who you are:
  • 5+ years of product management experience in a technical or scientific environment
  • Bachelor's degree in Computer Science, Engineering, Chemistry, or related field (advanced degree preferred)
  • Strong understanding of machine learning systems and data infrastructure
  • Literacy in drug discovery, structural biology, or computational chemistry
  • Proven ability to operate at the interface of ML and life sciences
  • Demonstrated experience translating computational results into actionable scientific outcomes
  • Experience leading complex, cross-functional initiatives
  • Mindset: Passionate about innovation, problem-solving, and making a tangible impact on human health.

You are someone who:
  • Runs toward ambiguity rather than away from it
  • Knows what you don't know and does not bluff in technical domains
  • Thinks in systems and anticipates what will not scale
  • Balances strategic thinking with hands-on execution
  • Is motivated by advancing methods that impact real patients

*Experience in biotech, pharma, frontier AI, or computational research environments is strongly preferred.
About Genesis Molecular AI
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.
Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

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