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Biological Systems Engineering Jobs in California

Cytek Biosciences Inc

Sr. Systems Engineer

Fremont, CA · On-site

$126K - $185K/yr

Help improve engineering processes related to requirements management, verification, system ... sensors, or biological assays. * Strong ability to define clear requirements, test plans ...

City of Hope

Postdoctoral Fellow

Duarte, CA · On-site

$51K - $69K/yr

Engineered culture microenvironments, primary human mammary epithelial cells, and cell-based ... PhD, MD, or equivalent degree in Computational Biology, Systems Biology, Cell and Molecular Biology ...

Booz Allen Hamilton, Inc.

Systems Integrator

El Segundo, CA · On-site

$86K - $198K/yr

Systems Integrator The Opportunity: Are you looking for an opportunity to combine your technical ... Bachelor's degree in a STEM field such as Biology, Chemistry, Computer Science, or Engineering Nice ...

Booz Allen Hamilton

Systems Integrator

El Segundo, CA · On-site

$86K - $198K/yr

R0246706 Systems Integrator The Opportunity: Are you looking for an opportunity to combine your ... Bachelor's degree in a STEM field such as Biology, Chemistry, Computer Science, or Engineering Nice ...

Vaxcyte

Staff Engineer, Process Systems

San Carlos, CA · On-site

... biologics manufacturing facilities. This position will support all aspects of process systems engineering activities related to commercial Launch, and routine GMP Manufacturing to ensure the ...

Pae

Support Scientist II-6

Mountain View, CA · Hybrid

$99K/yr

Perform scientific work involving rigorous studies of biological systems designed to operate in ... Bachelor of Science in recognized field of Engineering or Science from an accredited institution ...

Booz Allen Hamilton

Systems Integrator

El Segundo, CA · Hybrid

$86K - $198K/yr

Systems Integrator The Opportunity: Are you looking for an opportunity to combine your technical ... Bachelor's degreein a STEM field such as Biology, Chemistry, Computer Science, or Engineering Nice ...

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All JobsBiological Systems Engineering JobsBiological Systems Engineering Jobs in California

Biological Systems Engineering information

See California salary details

$30.6K

$41.6K

$55.3K

How much do biological systems engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biological systems engineering in California is $41,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $45,900.00 per year, depending on experience, location, and employer.

What is biological systems engineering?

Biological Systems Engineering is an interdisciplinary field that applies engineering principles to biological and agricultural systems. Professionals in this field work on developing sustainable solutions for food production, environmental protection, bioenergy, and resource management. They integrate biology, chemistry, and engineering to design systems and technologies that improve the efficiency and sustainability of processes involving living organisms. Careers can include work in agriculture, environmental consulting, biotechnology, and renewable energy industries.

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

To thrive as a Biological Systems Engineer, you need a solid background in engineering principles, biology, and mathematics, generally supported by a degree in biological systems engineering or a related field. Familiarity with CAD software, modeling tools like MATLAB, and knowledge of relevant industry standards or certifications (such as FE/EIT) is often required. Strong problem-solving, teamwork, and communication skills help professionals excel in multidisciplinary projects and effectively convey complex ideas. These skills and qualifications ensure engineers can develop sustainable solutions to biological and agricultural challenges, bridging the gap between engineering and life sciences.

What are some common interdisciplinary collaborations for biological systems engineers within an organization?

Biological Systems Engineers frequently work alongside professionals from a variety of fields, such as agronomists, environmental scientists, mechanical engineers, and computer scientists. These collaborations often focus on developing sustainable solutions for agricultural production, environmental protection, or bioenergy systems. Working in cross-functional teams helps Biological Systems Engineers address complex real-world challenges, integrate new technologies, and ensure that project outcomes are practical and scalable. Effective communication and teamwork are essential, as projects may involve coordinating fieldwork, data analysis, and system optimization.

What is the difference between Biological Systems Engineering vs Agricultural Engineer?

AspectBiological Systems EngineeringAgricultural Engineer
CredentialsBachelor's in Biological Systems Engineering or related fieldBachelor's in Agricultural Engineering or related field
Work EnvironmentResearch labs, manufacturing, environmental systemsFarms, agricultural facilities, rural settings
Industry UsageBiotech, environmental, healthcare, manufacturingAgriculture, food production, rural infrastructure

Biological Systems Engineering focuses on applying engineering principles to biological systems across various industries, including healthcare and environmental management. Agricultural Engineers primarily work within the agriculture sector, designing systems for farming, irrigation, and food production. While both roles require similar credentials, their work environments and industry applications differ significantly.

Are biological systems engineers well paid?

Biological systems engineers typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around the national average for engineering roles, with experienced professionals earning higher wages, especially in industries like biotechnology, agriculture, and environmental management. Certifications and specialized skills can also influence earning potential.

Is biological systems engineering a good major?

Biological systems engineering is a versatile major that combines biology, engineering, and technology to develop solutions in agriculture, healthcare, and environmental management. Graduates often find employment in research, manufacturing, or consulting, and the field values skills in problem-solving, systems analysis, and technical tools like CAD and data modeling.

What jobs can you get with a biological systems engineering degree?

Biological systems engineering graduates can pursue careers as biological or agricultural engineers, environmental engineers, or process engineers, often working in industries such as agriculture, healthcare, or environmental management. These roles typically require knowledge of biology, engineering principles, and often involve designing systems, managing projects, or improving processes using tools like CAD software and data analysis. Certification or licensing may be required for certain engineering positions.

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

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

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

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

Biological Systems Engineering jobs near you
Infographic showing various Biological Systems Engineering job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $41,554 per year, or $20 per hour.

Co-Op, ML Scientist for Biology

Lila Sciences

San Francisco, CA • On-site

Full-time

Re-posted 23 days ago

Job description

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve hard problems across scientific domains. Within Life Sciences AI, we are developing autonomous-science capabilities for biological systems, spanning multiple biological domains and resolutions, based on multi-modal data and foundation models.

We are seeking a Co-Op, LS AI, ML Scientist for Biology to contribute to cutting-edge research on how to effectively evaluate, guide, and reinforce agentic model behavior in this domain.

This is an opportunity to work alongside Lila scientists on early-stage research in autonomous life science AI. You will help explore reasoning models, evaluation and benchmark datasets, and workflows that connect modern AI methods to real biological questions, gaining hands-on experience in a fast-moving scientific environment.

What You'll Be Building

  • Contribute to ML research on reasoning models for biological discovery and autonomous science.
  • Explore methods to evaluate, guide, and reinforce agentic model behavior in biological domains.
  • Help develop evaluation and benchmark datasets for biological reasoning tasks.
  • Analyze multi-modal biological data to identify useful signals for model evaluation and improvement.
  • Prototype workflows that connect model reasoning, evaluation, and scientific feedback.
  • Communicate findings through code, notebooks, written summaries, and presentations.

What You'll Need to Succeed

  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Biology, Bioengineering, or a related quantitative field.
  • Research experience in machine learning, AI for science, computational biology, or biological data analysis.
  • Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, or similar tools.
  • Experience working with biological, scientific, or multi-modal datasets.
  • Interest in reasoning models, agentic systems, evaluation methods, or benchmark design.
  • Interest in closed-loop scientific discovery, autonomous labs, or AI systems that interact with experimental feedback.
  • Ability to communicate research findings clearly through code, notebooks, written summaries, and presentations.
  • Comfort working in a collaborative, cross-disciplinary research environment.

Bonus Points For

  • Experience with reasoning models, agentic systems, reinforcement learning, or model evaluation.
  • Experience developing benchmarks, evaluation datasets, or model assessment workflows.
  • Publications, preprints, talks, posters, or workshop presentations in ML, AI for science, computational biology, or related scientific venues.

Apply