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Biomedical Researcher Jobs in California (NOW HIRING)

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How much do biomedical researcher jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for biomedical researcher in California is $30.83, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $34.62 per hour, depending on experience, location, and employer.

Are biomedical researchers in demand?

Biomedical researchers are in high demand due to ongoing advancements in healthcare, biotechnology, and medical research. Employment opportunities are expected to grow faster than average, especially for those with strong laboratory skills, advanced degrees, and experience with data analysis and research tools.

What do you do as a biomedical researcher?

A biomedical researcher studies biological processes and diseases to develop new treatments and improve healthcare. They conduct experiments, analyze data, and use laboratory tools such as microscopes and cell cultures, often working in labs and collaborating with medical professionals. Strong knowledge of biology, chemistry, and research methods is essential for this role.

How much do you make as a biomedical researcher?

Biomedical researchers typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Salaries can increase with advanced degrees, specialized skills, and research funding, and may vary between academic, government, and private sector roles.

What skills and qualifications are needed to be a biomedical researcher?

To thrive as a Biomedical Researcher, you need a solid background in biology, chemistry, and data analysis, typically backed by at least a master's or doctoral degree in a related field. Experience with laboratory techniques, statistical software (such as SPSS or R), and compliance with research regulations is highly valued. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for designing robust experiments, ensuring data integrity, and successfully collaborating with interdisciplinary teams to advance scientific knowledge.

What challenges do biomedical researchers face and how are they addressed?

Biomedical researchers often encounter challenges such as variability in biological samples, complex data analysis, and the need for rigorous regulatory compliance. To address these, research teams prioritize meticulous experimental design, collaborate closely with statisticians and bioinformaticians, and follow standardized protocols to ensure reproducibility. Regular team meetings and interdisciplinary collaboration are key strategies in troubleshooting issues and advancing research efficiently.

What qualifications do you need to be a biomedical researcher?

A biomedical researcher typically needs a bachelor's degree in biology, biochemistry, or a related field, with many roles requiring a master's or Ph.D. for advanced research positions. Strong laboratory skills, knowledge of scientific methods, and familiarity with research tools and techniques are essential. Additional certifications or experience in specific areas may enhance job prospects.

What is a biomedical researcher?

Biomedical researchers are scientists who investigate biological processes and diseases to improve human health. They use laboratory experiments, clinical studies, and data analysis to understand the causes of diseases, develop new treatments, and advance medical knowledge. Their work often bridges the gap between basic science and clinical applications, contributing to innovations in medicine, diagnostics, and therapies. Biomedical researchers may specialize in areas like genetics, pharmacology, immunology, or neuroscience, working in academic, government, or industry settings.
What cities in California are hiring for Biomedical Researcher jobs? Cities in California with the most Biomedical Researcher job openings:
Biomedical Researcher jobs near you
Infographic showing various Biomedical Researcher job openings in California as of August 2026, with employment types broken down into 3% Internship, 1% As Needed, 71% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,131 per year, or $30.8 per hour.

Research Associate Data Scientist

Cedars Sinai

Los Angeles, CA • On-site

$97K - $133K/yr

Full-time

Re-posted 19 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

40th of 1,056 rated hospitals

Job description


Research Associate Data Scientist (Cedars-Sinai Medical Center; Los Angeles, CA): Assist with the development, evaluation, and application of computational and statistical methods, including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. Assist with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. Create database-to-deployment pipelines for models using the necessary programming languages (primarily Python, R, and C++). Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. Work with senior or lead data scientists, research programmers, and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Test and validate code to ensure robustness of data applications. Perform all other duties as assigned. Participate in the development of innovative algorithms and analytical methods. Participate in the evaluation and interpretation of all analytical methods and results. Participate in the oral and written communication of scientific results including publications.
Minimum requirements: Master's degree or foreign equivalent in Electrical Engineering, Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, or related field, plus three (3) years of experience as a Research Associate Data Scientist, Computer Engineer, Biomedical Data Scientist, or related occupation.
Must have experience with the following: Python, C++, and R; developing, testing, validating, and optimizing production-level, version-controlled code (GitHub/GitLab and Azure DevOps) for algorithm development, statistical analysis, and deployment; implementing supervised and unsupervised learning algorithms (random forests, support vector machines, clustering, deep learning), with hands-on expertise training, fine-tuning, and deploying deep learning models using frameworks (PyTorch and TensorFlow), and adapting these methods to biomedical research problems; building end-to-end database-to-deployment pipelines including querying large relational databases (SQL), data cleaning, model training, validation, and deploying models in multiple computing environments; communicating scientific results effectively through peer-reviewed publications, patents, conference presentations, and internal technical reports; working with medical imaging data, including familiarity with industry-standard imaging formats (DICOM), image preprocessing workflows (segmentation, denoising, registration, resampling, and normalization), and use of imaging software libraries (SimpleITK, MONAI, or NiBabel) to prepare data for machine learning analysis; managing, processing, and optimizing large-scale 3D and 4D time-series datasets for deep learning model development on High-Performance Computing (HPC) or cloud-based GPU clusters.
Salary: $97,510 - $133,100 per year
To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.
Job Req ID:18558
Responsibilities
  • Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
  • Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
  • Performs data cleaning, quality control, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods
  • Assists research, senior research, and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Tests and validates code to ensure robustness of data applications with version control through GitHub.

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