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Remote Protein Research Jobs (NOW HIRING)

Arvinas

Early Development Team Leader

New Haven, CT · On-site +1

In addition to its robust preclinical pipeline of PROTAC protein degraders against validated and ... Partnering with Research to move programs out of exploratory research and into development

Arvinas

In addition to its robust preclinical pipeline of PROTAC protein degraders against validated and ... The Asset Team Leader will lead a cross-functional team including clinical research, clinical ...

Griffith Foods

Business Development Manager

Dallas, TX · Remote

$110K - $120K/yr

Remote from Chicago IL Indiana Iowa or Texas COMP RANGE: $110,000-120,000/year plus 25% target ... culinary, R&D, and cross-functional teams to align Protein Processor customer activity with QSR ...

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Paul Babitzke's research lab within the Center for RNA Molecular Biology and the Department of ...

Griffith Foods

Business Development Manager

Chicago, IL · On-site +1

$110K - $120K/yr

Remote from Chicago IL Indiana Iowa or Texas COMP RANGE: $110,000-120,000/year plus 25% target ... culinary, R&D, and cross-functional teams to align Protein Processor customer activity with QSR ...

Griffith Foods

Business Development Manager

Chicago, IL · Remote

$110K - $120K/yr

Remote from Chicago IL Indiana Iowa or Texas COMP RANGE: $110,000-120,000/year plus 25% target ... culinary, R&D, and cross-functional teams to align Protein Processor customer activity with QSR ...

New

Griffith Foods

Business Development Manager

Chicago, IL · Remote

$110K - $120K/yr

Remote from Chicago IL Indiana Iowa or Texas COMP RANGE: $110,000-120,000/year plus 25% target ... culinary, R&D, and cross-functional teams to align Protein Processor customer activity with QSR ...

Griffith Foods

Business Development Manager

Chicago, IL · Remote

$110K - $120K/yr

Remote from Chicago IL Indiana Iowa or TexasCOMP RANGE: $110,000-120,000/year plus 25% target Sales ... culinary, R&D, and cross-functional teams to align Protein Processor customer activity with QSR ...

Danaher

Discovery AKTA Sales Specialist

San Jose, CA · On-site +1

The position is remote and territory based. What You'll Do * Partner with life science customers to ... Strong understanding of protein purification, chromatography, or biologics research workflows ...

Danaher

Discovery AKTA Sales Specialist

Palo Alto, CA · On-site +1

The position is remote and territory based. What You'll Do * Partner with life science customers to ... Strong understanding of protein purification, chromatography, or biologics research workflows ...

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Remote Protein Research information

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How much do remote protein research jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote protein research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is remote protein research?

Remote protein research refers to the study and analysis of proteins using computational methods, online databases, and collaborative tools, allowing scientists to work from locations outside of traditional laboratories. This can include tasks such as molecular modeling, bioinformatics analysis, and data interpretation, all performed via remote access to specialized software and cloud-based platforms. Remote protein research enables collaboration across the globe, increases flexibility, and often accelerates scientific discovery by leveraging digital resources.

What is the difference between Remote Protein Research vs Remote Biochemistry Technician?

AspectRemote Protein ResearchRemote Biochemistry Technician
Required CredentialsAdvanced degrees in biochemistry, molecular biology, or related fieldsAssociate's or Bachelor's in biochemistry or related sciences
Work EnvironmentPrimarily research labs, offices, or remote settings with access to lab dataLaboratory settings, often with remote data analysis
Industry UsageResearch institutions, biotech companies, academiaLaboratories, biotech firms, research facilities
Common Search/ComparisonRemote Protein Research vs Remote Biochemistry Technician

Remote Protein Research typically involves advanced scientific research requiring higher education and focuses on studying proteins at a molecular level. Remote Biochemistry Technicians support lab operations and experiments, often with less emphasis on independent research. Both roles are vital in biotech and research industries, but they differ in credentials, responsibilities, and work environment.

What are some common challenges faced by professionals working in remote protein research roles?

Professionals in remote protein research often encounter challenges related to laboratory access, as some experimental procedures require specialized equipment that may not be available at home. Collaborating with team members across different time zones and ensuring clear communication can also be difficult, particularly during complex data analysis or project planning phases. However, many organizations use advanced digital tools and shared databases to facilitate collaboration and streamline workflows. Staying self-motivated and managing independent research timelines is crucial for success in a remote setting.

What are the key skills and qualifications needed to thrive as a remote protein researcher?

To thrive as a Remote Protein Researcher, you need a solid background in molecular biology, biochemistry, or a related field, often supported by an advanced degree and experience in protein analysis. Familiarity with bioinformatics tools, molecular modeling software, and relevant data analysis platforms is typically required. Strong problem-solving abilities, self-motivation, and effective virtual communication are crucial soft skills for collaborating with remote teams and driving research initiatives. These skills ensure rigorous and innovative protein research while maintaining productivity and collaboration in a remote work environment.
More about Remote Protein Research jobs
What cities are hiring for Remote Protein Research jobs? Cities with the most Remote Protein Research job openings:
What are the most commonly searched types of Protein Research jobs? The most popular types of Protein Research jobs are:
What states have the most Remote Protein Research jobs? States with the most job openings for Remote Protein Research jobs include:
What job categories do people searching Remote Protein Research jobs look for? The top searched job categories for Remote Protein Research jobs are:
Remote Protein Research jobs near you
Infographic showing various Remote Protein Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Computational Biology MLOps Engineer (Remote)

Onebridge

San Diego, CA • Remote

$114K - $134K/yr

Full-time

Posted 18 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA.

Computational Biology MLOps Engineer | About You

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus.

Computational Biology MLOps Engineer | Day-to-Day

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment.
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training.
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts.
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches.
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models.
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems.

Computational Biology MLOps Engineer | Skills & Experience

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure.
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows.
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries.
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing.
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX.
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure.
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.