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Biological Engineer Jobs in California (NOW HIRING)

Marlabs

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ... Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources ...

Cal Poly Pomona

Lecturer AY - Biological Sciences

Pomona, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

With a variety of degree programs in the arts, humanities, sciences, engineering, and professional ... Biological Sciences, Chemistry & Biochemistry, Computer Science, Geological Sciences, Kinesiology ...

CalPolyPomona

Lecturer AY - Biological Sciences

Pomona, CA

  • Medical

  • Dental

  • Vision

  • Retirement

With a variety of degree programs in the arts, humanities, sciences, engineering, and professional ... Biological Sciences, Chemistry & Biochemistry, Computer Science, Geological Sciences, Kinesiology ...

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All JobsBiological Engineer JobsBiological Engineer Jobs in California

Biological Engineer information

See California salary details

$11

$39

$70

How much do biological engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for biological engineer in California is $39.70, according to ZipRecruiter salary data. Most workers in this role earn between $20.01 and $54.38 per hour, depending on experience, location, and employer.

What is a biological engineer?

A Biological Engineer is a professional who applies principles from biology, engineering, and other scientific fields to solve problems related to living systems. They design processes, equipment, and technologies for applications such as healthcare, agriculture, environmental protection, and biotechnology. Biological engineers may work on developing medical devices, bioprocesses, or sustainable solutions for resource management. Their work often involves interdisciplinary collaboration and innovation to improve quality of life and address global challenges.

What are the key skills and qualifications needed to thrive as a biological engineer?

To thrive as a Biological Engineer, you need a strong background in biology, chemistry, mathematics, and engineering principles, typically demonstrated by a bachelor's or advanced degree in biological engineering or a related field. Familiarity with laboratory equipment, CAD software, bioinformatics tools, and relevant certifications such as Professional Engineer (PE) licensure is valuable. Strong problem-solving skills, teamwork, and effective communication help distinguish top performers in this role. These skills are crucial for developing innovative solutions and collaborating effectively on projects that address complex biological and environmental challenges.

What are some common interdisciplinary collaborations for biological engineers in the workplace?

Biological Engineers frequently work alongside professionals from diverse fields such as chemists, mechanical engineers, medical professionals, and computer scientists. These collaborations are essential for projects like developing medical devices, optimizing bioprocesses, or advancing synthetic biology. Effective teamwork and communication are crucial, as interdisciplinary teams rely on each member's expertise to solve complex biological problems and innovate new solutions. Engaging with experts from various backgrounds also provides valuable learning and growth opportunities for Biological Engineers.

What is the difference between Biological Engineer vs Environmental Engineer?

AspectBiological EngineerEnvironmental Engineer
Required CredentialsBachelor's degree in biological, biomedical, or bioengineeringBachelor's degree in environmental, civil, or chemical engineering
Work EnvironmentLaboratories, research facilities, biotech companiesField sites, government agencies, consulting firms
Industry UsageBiotech, healthcare, agricultureEnvironmental protection, waste management, sustainability

Biological Engineers focus on developing biological systems and products, often working in labs or biotech firms. Environmental Engineers concentrate on improving environmental quality through projects like pollution control and resource management. While both roles require engineering degrees, their work environments and industry applications differ significantly.

Are biological engineers in demand?

Biological engineers are in demand due to their role in developing medical devices, biotechnologies, and sustainable solutions. Employment opportunities are expected to grow as industries focus on healthcare, agriculture, and environmental management, often requiring knowledge of biology, engineering principles, and laboratory skills.

Do biological engineers get paid well?

Biological engineers typically earn competitive salaries that vary based on experience, education, and location. According to industry data, the median annual wage is above the national average for engineering roles, with higher pay often associated with advanced degrees and specialized skills in areas like biotechnology or environmental engineering.

What does a biological engineer do?

A biological engineer applies principles of biology, chemistry, and engineering to develop solutions in areas such as healthcare, agriculture, and environmental management. They design and improve processes like bioproduct manufacturing, genetic modification, and tissue engineering, often using laboratory tools and computer modeling. Biological engineers typically work in research labs, manufacturing facilities, or regulatory agencies and may require specialized training or certifications.

What jobs can I get with a biological engineer degree?

A biological engineer can work in areas such as biomedical engineering, environmental protection, food safety, and biotechnology. Common roles include research scientist, process engineer, quality control specialist, and regulatory affairs manager. These positions often require knowledge of lab techniques, data analysis, and regulatory standards.

What are popular job titles related to Biological Engineer jobs in California?

For Biological Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Biological Engineer jobs in California look for?

The top searched job categories for Biological Engineer jobs in California are:

What cities in California are hiring for Biological Engineer jobs?

Cities in California with the most Biological Engineer job openings:

Biological Engineer jobs near you
Infographic showing various Biological Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $82,580 per year, or $39.7 per hour.

Computational Biology MLOps Engineer

Marlabs

San Diego, CA • On-site

$118K - $139K/yr

Full-time

Posted 27 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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