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Biomedical Analyst Jobs in California (NOW HIRING)

Apple

Biomedical Research Engineer

Cupertino, CA

$129K - $225K/yr

This candidate should also be adept at building research platforms to study physiology and analyze ... Coherent light sensing for biomedical applications. Stochastic modeling methods for light-tissue ...

Apple

Biomedical Research Engineer

Cupertino, CA

$184K - $324K/yr

This candidate should also be adept at building research platforms to study physiology and analyze ... PhD in Biomedical, Optical Engineering or related field. Minimum Qualifications In-depth ...

enBio Corp

Biomedical Equipment Technician II

Glendale, CA · On-site

$33 - $40.50/hr

... biomedical engineering services, hospital bed and gurney support, healthcare staffing, regulatory ... analyzers, patient simulator, storage oscilloscopes, manometers, tachometers, etc. * Possess the ...

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Biomedical Analyst information

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$32

$47

How much do biomedical analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for biomedical analyst in California is $32.11, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $37.26 per hour, depending on experience, location, and employer.

What is a biomedical analyst?

Biomedical analysts are professionals who work primarily in laboratories, where they analyze biological samples such as blood, tissues, and fluids to assist in the diagnosis, monitoring, and treatment of diseases. They use a range of scientific techniques and specialized equipment to conduct tests and ensure the accuracy and reliability of results. Biomedical analysts play a crucial role in healthcare teams, supporting doctors and other medical professionals with vital information for patient care.

What are the key skills and qualifications needed to thrive as a biomedical analyst, and why are they important?

To thrive as a Biomedical Analyst, you need a strong background in biology, chemistry, and data analysis, typically supported by a degree in biomedical sciences or a related field. Familiarity with laboratory information management systems (LIMS), statistical software like SPSS or R, and relevant laboratory certifications is often required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate research outcomes, regulatory compliance, and impactful contributions to medical advancements.

What are some common challenges biomedical analysts face when working with interdisciplinary teams?

Biomedical Analysts frequently collaborate with professionals from diverse backgrounds, such as clinicians, laboratory technologists, and data scientists. One common challenge is translating complex biomedical data into actionable insights that are understandable across disciplines. Effective communication and adaptability are essential to ensure that everyone is aligned on project goals and data interpretations. Proactively seeking feedback and maintaining clear documentation can help bridge gaps and foster successful teamwork.

What is the difference between Biomedical Analyst vs Laboratory Technician?

AspectBiomedical AnalystLaboratory Technician
Required CredentialsBachelor's degree in biomedical science or related field; certifications varyAssociate's degree or diploma in laboratory technology
Work EnvironmentResearch labs, hospitals, biotech companiesClinical or research laboratories, hospitals
Employer & Industry UsageHealthcare, research institutions, biotech firmsHospitals, diagnostic labs, research facilities
Common Search & ComparisonYesYes

The main difference between a Biomedical Analyst and a Laboratory Technician lies in their education, responsibilities, and work settings. Biomedical Analysts typically hold a bachelor's degree and focus on analyzing biological data, conducting research, and supporting medical advancements. Laboratory Technicians usually have an associate's degree and assist with routine lab tests and sample processing. Both roles are essential in healthcare and research environments, but Biomedical Analysts often engage in more complex data analysis and research activities.

How do you become a biomedical analyst?

To become a biomedical analyst, typically a bachelor's degree in biology, chemistry, or a related field is required. Gaining experience through internships or entry-level positions and developing skills in laboratory techniques and data analysis are important; some roles may also require certification or advanced degrees for specialized work.

How much do biomedical analysts make in the US?

Biomedical analysts in the US typically earn a median annual salary of around $50,000 to $70,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries, often working in laboratory or research environments with standard working hours.

What cities in California are hiring for Biomedical Analyst jobs?

Cities in California with the most Biomedical Analyst job openings:

Biomedical Analyst jobs near you
Infographic showing various Biomedical Analyst job openings in California as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $66,793 per year, or $32.1 per hour.

BioMedical AI Research Engineer

South San Francisco, CA

Xaira Therapeutics
See more jobs at Xaira Therapeuticsexternal

$227K - $295K/yr

Full-time

Re-posted 29 days ago

Job description

About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.

This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.

Key Responsibilities

  • Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
  • Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
  • Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
  • Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
  • Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
  • Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
  • Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.

Qualifications

  • Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
  • Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
  • Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
  • Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
  • Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).

Preferred

  • Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
  • Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
  • Understanding of privacy, security, and regulatory considerations in healthcare AI.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $227,000 - $295,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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