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Per Diem Computational Biologist Jobs (NOW HIRING)

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

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 ...

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site +1

$118K - $139K/yr

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 ...

Louisiana State University

... per year, typically includes a week off at Christmas), generous annual (vacation) and sick leave ... Assistant/Associate Professor (Computational Biology/Data Science) Posting Date:February 25, 2025 ...

Louisiana Workforce Commission

... per year, typically includes a week off at Christmas), generous annual (vacation) and sick leave ... Assistant/Associate Professor (Computational Biology/Data Science) Posting Date:February 25, 2025 ...

LSU AgCenter

... per year, typically includes a week off at Christmas), generous annual (vacation) and sick leave ... Assistant/Associate Professor (Computational Biology/Data Science) Posting Date:February 25, 2025 ...

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Per Diem Computational Biologist information

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$48.5K

$94K

$133.5K

How much do per diem computational biologist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for per diem computational biologist in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is a Per Diem Computational Biologist?

A Per Diem Computational Biologist is a professional who applies computational and statistical techniques to analyze biological data, such as genomics, proteomics, or clinical datasets, on an as-needed or hourly basis. Unlike full-time employees, per diem workers are typically hired for specific projects or to cover temporary staffing needs, offering flexible work arrangements. Their responsibilities may include data analysis, algorithm development, and collaboration with research teams to extract insights from complex biological data. This role is often found in research institutions, hospitals, and biotech companies that require specialized expertise without a long-term commitment.

What is the difference between Per Diem Computational Biologist vs Contract Computational Biologist?

AspectPer Diem Computational BiologistContract Computational Biologist
Work ArrangementTemporary, on-demand assignments, often with flexible hoursProject-based, fixed-term contracts with specific deliverables
CredentialsTypically requires a relevant degree and experience in computational biologySimilar credential requirements, often with additional project-specific skills
Work EnvironmentLabs, research institutions, or remote workResearch facilities, biotech companies, or remote
Employer UsageHospitals, research institutes, biotech firms needing temporary supportOrganizations seeking specialized expertise for defined projects

Both roles involve computational biology skills and similar credentials, but Per Diem Computational Biologists typically work on flexible, short-term assignments, while Contract Computational Biologists are engaged for specific projects with defined durations.

What are the key skills and qualifications needed to thrive as a Per Diem Computational Biologist, and why are they important?

To thrive as a Per Diem Computational Biologist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in a relevant field. Expertise in programming languages (such as Python or R), bioinformatics tools (e.g., BLAST, Galaxy), and experience with high-throughput data analysis are commonly required. Strong problem-solving skills, adaptability, and effective communication help you excel in dynamic, project-based environments. These skills ensure accurate data interpretation, efficient collaboration with research teams, and the ability to deliver high-quality results on short-term assignments.

How does a Per Diem Computational Biologist typically integrate with full-time research teams and contribute to ongoing projects?

As a Per Diem Computational Biologist, you will often collaborate closely with full-time researchers, providing specialized expertise on a flexible, as-needed basis. While your schedule may differ from standard full-time staff, you'll be expected to attend key meetings, communicate your findings clearly, and adapt to shifting project priorities. The role often requires quickly familiarizing yourself with existing datasets and research goals so that you can deliver impactful analyses or develop computational tools that complement the team's objectives. Strong communication skills and the ability to work independently are crucial for success in this dynamic, collaborative environment.
More about Per Diem Computational Biologist jobs
What cities are hiring for Per Diem Computational Biologist jobs? Cities with the most Per Diem Computational Biologist job openings:
What are the most commonly searched types of Computational Biologist jobs? The most popular types of Computational Biologist jobs are:
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What job categories do people searching Per Diem Computational Biologist jobs look for? The top searched job categories for Per Diem Computational Biologist jobs are:
Per Diem Computational Biologist jobs near you
Infographic showing various Per Diem Computational Biologist job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $93,988 per year, or $45.2 per hour.
Computational Biologist MLOps Engineer

Computational Biologist MLOps Engineer

Marlabs

San Diego, CA • On-site

Other

Posted 3 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.

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