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Remote Structural Biology Jobs (NOW HIRING)

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 ...

$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 ...

Director, AIRx Medicinal Chemistry

Boston, MA · On-site +1

$177K - $278K/yr

Interpret structural biology data (X-ray, cryo-EM) in partnership with Structural Biology contacts ... This position is currently classified as "hybrid" by Takeda's Hybrid and Remote Work policy Takeda ...

Interpret structural biology data (X-ray, cryo-EM) in partnership with Structural Biology contacts ... This position is currently classified as "hybrid" by Takeda's Hybrid and Remote Work policy Takeda ...

Research Specialist

Austin, MN · On-site +1

$63K - $77K/mo

Design and implement experiments to support structural biology research objectives. Analysis ... Work location options include working fully remote, partially remote, or entirely in the office and ...

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics ...

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

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 ...

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 ...

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 ...

... structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification ... PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related ...

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Remote Structural Biology information

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$50K

$99.4K

$152K

How much do remote structural biology jobs pay per year?

As of Jul 23, 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 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.

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.
More about Remote Structural Biology jobs
What cities are hiring for Remote Structural Biology jobs? Cities with the most Remote Structural Biology job openings:
What are the most commonly searched types of Structural Biology jobs? The most popular types of Structural Biology jobs are:
What states have the most Remote Structural Biology jobs? States with the most job openings for Remote Structural Biology jobs include:
What job categories do people searching Remote Structural Biology jobs look for? The top searched job categories for Remote Structural Biology jobs are:
Infographic showing various Remote Structural Biology job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $99,400 per year, or $47.8 per hour.
DevOps Engineer, Cloud Infrastructure & Scientific Computing (Remote, Americas)

DevOps Engineer, Cloud Infrastructure & Scientific Computing (Remote, Americas)

Cartography Biosciences

Remote

$130K - $145K/yr

Full-time

Posted 11 days ago


Job description

About Cartography Biosciences
Cartography Biosciences is a therapeutics organization creating the first atlas to identify targets that are specific enough to only engage cancerous cells, broad enough to work across cancer cells and patients, and safe enough to sidestep toxic side effects. Founded by Kevin Parker, Howard Chang, and Ansu Satpathy, Cartography is bridging immunology and computation to understand the critical differences between normal and cancerous cells, ultimately solving the challenge of finding the safest, most selective targets for a variety of immunotherapeutic approaches.
We are looking for a DevOps Engineer to own and evolve the cloud infrastructure that powers our computational biology platforms, internal applications, and data pipelines. You will build and maintain systems spanning workflow orchestration for genomics and structural biology workloads, internal-facing scientific applications, and the security and reliability infrastructure that supports them.
This role sits at the intersection of cloud engineering, scientific computing, and applied software development. You will work closely with computational biology, antibody discovery, and software engineering teams to translate prototype workflows into production systems, ensure uptime and observability for the tools scientists rely on daily, and apply security best practices appropriate for a biotech environment handling sensitive scientific and business data.
This role is 100% remote and can be based in the US, Canada, Mexico, Central America, or South America.
Key Responsibilities
  • Architect, deploy, and maintain cloud infrastructure across Google Cloud Platform (primary) and AWS (secondary), with a focus on cost efficiency, reproducibility, and security across compute, storage, networking, and identity.
  • Manage infrastructure-as-code using Terraform, with full version control via GitHub and CI/CD pipelines that support both scientific compute and internal application deployment.
  • Support and extend our scientific compute infrastructure, including Cromwell, Google Batch, Cloud Run, Cloud Storage, and GPU-accelerated environments for protein design, structural prediction, and machine learning workloads.
  • Maintain uptime, observability, and incident response for internal applications including Slack integrations, web dashboards, and data ingestion services that connect lab and computational workflows.
  • Implement and uphold data security practices appropriate for a biotech environment, including IAM, secrets management, audit logging, network segmentation, and compliance-adjacent controls.
  • Collaborate with computational biologists and software engineers to operationalize new tools and pipelines, translating prototype workflows into reliable production systems.
  • Triage and resolve infrastructure issues across the stack, with clear documentation and post-mortems that improve the system over time.
  • Articulate technical decisions and trade-offs to diverse audiences, including engineering and scientific teams.

Required Qualifications
  • DevOps Engineer: 4+ years of hands-on DevOps, SRE, or cloud infrastructure experience.
  • Strong production experience with Google Cloud Platform (GCE, GKE, GCS, Cloud Run, IAM, Cloud Logging, Batch) and working knowledge of AWS (EC2, S3, IAM, Lambda).
  • Deep proficiency with Terraform, GitHub Actions or equivalent CI/CD systems, and Docker.
  • Proficiency in Python for scripting, automation, and data handling; comfortable in Unix or Linux terminal environments.
  • Practical experience implementing data security controls, including encryption, access policies, secrets management, and audit trails.
  • Demonstrated ability to maintain internal-facing applications and services with high uptime expectations.
  • Excellent written and verbal communication in English, with the ability to document systems clearly for both engineers and scientists.
  • Working hours that include meaningful synchronous overlap with US Pacific Time.

Preferred Qualifications
  • Fluency with AI-augmented development workflows, including practical use of tools such as Claude Code, Cursor, or GitHub Copilot as part of day-to-day infrastructure and scripting work.
  • Experience supporting scientific or research computing environments (genomics, single-cell, structural biology, ML, or HPC).
  • Familiarity with workflow orchestration systems such as Cromwell, Nextflow, WDL, or Airflow.
  • Experience with GPU infrastructure and scheduling of ML or protein design workloads.
  • Background in life sciences infrastructure, including familiarity with Benchling, ELN integrations, or scientific data management systems.
  • Prior experience at an early-stage biotech, scientific software company, or research-driven startup.
  • Familiarity with SOC 2, HIPAA-adjacent, or other regulated-environment security frameworks.

Logistics
  • Fully remote, open to candidates based in the Americas (US, Canada, Mexico, Central America, or South America).
  • You will report directly to the head of computational biology.
  • Compensation calibrated to local market with US benchmarking
  • Direct collaboration with our US-based engineering and computational biology teams in South San Francisco.

The pay range for this role is:
130,000 - 145,000 USD per year (US - DevOps Engineer)