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Biomedical Student Jobs in California (NOW HIRING)

UCSF

Pediatric Radiologist

San Francisco, CA · On-site

$149K - $393K/yr

Pediatric Radiologist The Department of Radiology and Biomedical Imaging is seeking a Pediatric ... The faculty will supervise and teach residents, fellows and medical students in pediatric radiology.

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Biomedical Student information

See California salary details

$7

$27

$56

How much do biomedical student jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for biomedical student in California is $27.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.95 and $31.78 per hour, depending on experience, location, and employer.

What is the difference between Biomedical Student vs Biomedical Technician?

AspectBiomedical StudentBiomedical Technician
Required CredentialsTypically enrolled in a degree program, no certification requiredAssociate's or Bachelor's degree; certification may be preferred
Work EnvironmentEducational settings, laboratories, internshipsHospitals, clinics, research labs
Employer & Industry UsageEducational institutions, research projectsHealthcare facilities, medical device companies
Common Search & ComparisonLearning phase, future career prospectsPractical application, technical support roles

The main difference between a Biomedical Student and a Biomedical Technician is that students are primarily in training or education, focusing on learning foundational knowledge, while Biomedical Technicians are trained professionals working in healthcare settings to maintain and repair medical equipment. Students are in the learning phase, whereas technicians are actively applying their skills in the field.

What does a biomedical student do?

A biomedical student studies the principles of biology and medicine to understand human health and disease. They often engage in laboratory research, coursework in anatomy, physiology, and biochemistry, and may participate in internships or research projects to gain practical experience in biomedical sciences.

What jobs can you go into with a biomedical student degree?

A biomedical student degree prepares individuals for careers such as biomedical researcher, clinical laboratory technician, medical sales representative, or healthcare technician. These roles often require knowledge of biology, chemistry, and laboratory skills, and may involve working in hospitals, research labs, or pharmaceutical companies.

Where can a biomedical student work?

A biomedical student can work in research laboratories, healthcare facilities, pharmaceutical companies, or biotech firms. These roles often involve assisting with experiments, data analysis, or clinical support, and may require knowledge of laboratory techniques and relevant certifications.
Biomedical Student jobs near you
Infographic showing various Biomedical Student job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $56,908 per year, or $27.4 per hour.

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Buck Institute

Novato, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
This position is 100% on site.
About the Zhou Lab
Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Recent example of our work:
The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
Responsibilities
  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.
  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.
  • Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
  • Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
  • Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
  • Contribute to a collaborative and intellectually engaged research environment.
Required Qualifications
  • BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  • Strong experience in one or more of the following areas:
    • Computer vision
    • Image recognition and segmentation
    • Deep learning
    • Generative AI
    • Diffusion models
    • Multimodal or foundation-model approaches
  • Demonstrated experience developing computational methods and analyzing complex datasets
  • Strong quantitative, analytical, and programming skills
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Preferred Qualifications
  • Experience with biological, biomedical, or microscopy imaging data
  • Experience working in interdisciplinary research environments
  • Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
  • Publication record, open-source contributions, relevant research, project, or code portfolio
Compensation & Benefits  
  • $80,000 to $130,000 depending on skills and experience
  • Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.
About the Buck
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
To Apply
Please submit:
  • a curriculum vitae or resume,
  • a brief statement of interest, and
  • any relevant publications, projects, or code.

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