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Masters In Biomedical Science Jobs in Fairfield, CA

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Helping establish best practices for AI-assisted data science in biomedical research Qualifications Required Education and Experience * Master's degree in Computer Science, Data Science ...

Cogitativo

Senior Data Scientist

Berkeley, CA

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

Oura

Senior Algorithm Scientist

San Francisco, CA

$107K - $147K/yr

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of ... of work experience in biomedical engineering, electrical engineering, neural engineering or a ...

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Masters In Biomedical Science information

See Fairfield, CA salary details

$72.3K

$108.1K

$159.8K

How much do masters in biomedical science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for masters in biomedical science in Fairfield, CA is $108,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $159,800.00 per year, depending on experience, location, and employer.

What can you do with a master's in biomedical science?

A Masters in Biomedical Science prepares graduates for a variety of careers in healthcare, research, pharmaceuticals, biotechnology, and academia. With this degree, you can work as a research scientist, laboratory manager, clinical trials coordinator, or pursue further studies such as a PhD or medical degree. Graduates also find roles in regulatory affairs, medical writing, and public health organizations. The degree provides specialized knowledge and technical skills that are highly valued in both industry and academic settings.

What types of career paths can a professional with a master's in biomedical science pursue within the healthcare and research sectors?

With a Master's in Biomedical Science, you can pursue a variety of roles such as research scientist, clinical laboratory technologist, regulatory affairs specialist, and medical science liaison. Many graduates work in hospitals, academic research labs, biotechnology firms, or pharmaceutical companies, often collaborating with clinicians, researchers, and regulatory professionals. The work environment is typically team-oriented and project-driven, offering opportunities to participate in cutting-edge research, support clinical trials, or ensure compliance with healthcare regulations. This degree also provides a strong foundation for further study, such as pursuing a PhD or professional healthcare degree.

What are the key skills and qualifications needed to thrive with a master's in biomedical science?

A Master's in Biomedical Science requires a solid background in biology, laboratory research methods, and data analysis, usually supported by a relevant undergraduate degree. Familiarity with laboratory equipment, molecular biology techniques, and software such as SPSS or GraphPad Prism is common in this field. Critical thinking, attention to detail, and effective communication set professionals apart when interpreting results and presenting findings. These skills are crucial for conducting accurate research, advancing scientific knowledge, and contributing to healthcare innovations.

Is a master's in biomedical science worth it?

A master's in biomedical science can enhance job prospects in research, healthcare, and biotech fields, often leading to roles such as laboratory technician, research associate, or clinical scientist. It provides specialized knowledge and skills that are valued by employers, but the value depends on career goals and industry demand.

What is the difference between Masters In Biomedical Science vs Medical Laboratory Technician?

AspectMasters In Biomedical ScienceMedical Laboratory Technician
Required CredentialsMaster's degree in biomedical science or related fieldAssociate's degree or post-secondary certificate in medical laboratory technology
Work EnvironmentResearch labs, universities, biotech companiesHospital labs, diagnostic labs, clinics
Employer & Industry UsageResearch institutions, academia, biotech firmsHealthcare facilities, hospitals, diagnostic centers

Masters In Biomedical Science typically involves advanced research and laboratory work in biomedical fields, often requiring a master's degree. Medical Laboratory Technicians focus on performing diagnostic tests in clinical settings with an associate's or certificate. Both roles are essential in healthcare and research, but they differ in education level, job responsibilities, and work environment.

What are popular job titles related to Masters In Biomedical Science jobs in Fairfield, CA? For Masters In Biomedical Science jobs in Fairfield, CA, the most frequently searched job titles are:
What job categories do people searching Masters In Biomedical Science jobs in Fairfield, CA look for? The top searched job categories for Masters In Biomedical Science jobs in Fairfield, CA are:
What cities near Fairfield, CA are hiring for Masters In Biomedical Science jobs? Cities near Fairfield, CA with the most Masters In Biomedical Science job openings:
Masters In Biomedical Science jobs near you
Infographic showing various Masters In Biomedical Science job openings in Fairfield, CA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Contract, and 4% Summer. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $108,068 per year, or $52 per hour.

AI Data Scientist-Furman lab

Buck Institute for Research on Aging

Novato, CA • On-site

$60K - $75K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging, computational biology, multi-omics, and translational data science.
This position is ideal for a creative, technically outstanding individual with a Master's degree or equivalent experience who has demonstrated excellence through high-impact projects, awards, hackathons, publications, startup experience, open-source contributions, or other evidence of exceptional technical ability. We are especially interested in candidates who are deeply fluent in the use of large language models, agentic AI systems, modern software engineering practices, and scalable approaches for harmonizing and modeling large, complex datasets.
The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions, platforms, and data types.
We are looking for someone who is not only technically strong, but also inventive, entrepreneurial, and capable of rapidly building solutions. The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches for managing and modeling complex scientific data.
Key Responsibilities
1. Develop AI-enabled systems for large-scale data harmonization and modeling
The candidate will help design, build, and implement computational systems that support the organization, harmonization, modeling, and interpretation of large biomedical datasets. Responsibilities may include:
  • Developing agentic AI workflows to support data curation, quality control, documentation, and analysis
  • Designing LLM-powered tools to help harmonize large datasets across cohorts, studies, institutions, and assay platforms
  • Building pipelines to extract, standardize, and validate metadata and data dictionaries
  • Creating systems to support multi-modal data integration across omics, clinical, demographic, imaging, and functional datasets
  • Developing scalable approaches for identifying patterns, inconsistencies, and missing information across large datasets
  • Supporting model development for prediction, classification, clustering, and biological interpretation
  • Prototyping AI tools that improve research productivity, reproducibility, and scientific discovery
2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research
Responsibilities may include:
  • Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems
  • Designing AI agents capable of interacting with structured and unstructured scientific data
  • Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation
  • Evaluating the performance, limitations, and reliability of AI-enabled tools in biomedical research contexts
  • Supporting responsible, reproducible, and well-documented use of AI in federally funded research
  • Collaborating with bioinformaticians and domain experts to translate research needs into functional computational tools
3. Support large-scale data science and computational biology projects
The candidate may contribute to analyses involving:
  • Transcriptomics, including single-cell and bulk RNA-seq
  • Proteomics
  • Metabolomics
  • Epigenetics and biological aging clocks
  • Clinical and phenotypic datasets
  • Survey data
  • Integrative multi-omics
  • Dimensionality reduction and clustering
  • Classification methods and predictive modeling
  • Drug repurposing
  • Network analysis and pathway enrichment
  • Computer vision and feature extraction, as applicable
4. Collaborate across interdisciplinary teams
The candidate will work closely with computational biologists, data scientists, principal investigators, research staff, software engineers, and external collaborators. Responsibilities may include:
  • Translating scientific goals into computational tools and workflows
  • Participating in project meetings and presenting technical progress
  • Creating clear documentation, diagrams, and technical specifications
  • Supporting manuscript preparation, grant writing, figure generation, and reporting
  • Working with diverse teams to improve data transfer, management, and analysis systems
  • Helping establish best practices for AI-assisted data science in biomedical research

Qualifications
Required Education and Experience
  • Master's degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial, or technical experience will also be considered
  • Demonstrated experience building AI, data science, machine learning, or software engineering systems
  • Strong proficiency in Python
  • Experience using large language models, AI APIs, or LLM-based developer tools
  • Experience with modern software engineering practices, version control, testing, documentation, and collaborative development
  • Ability to work independently, rapidly prototype solutions, and solve ambiguous technical problems
Required Skills
  • Strong practical experience with large language models and AI-assisted workflows
  • Interest or experience in agentic AI, tool-calling agents, retrieval-augmented generation, vector search, or automated workflow orchestration
  • Strong analytical and problem-solving skills
  • Ability to design systems for organizing, harmonizing, and modeling large datasets
  • Comfort working with structured and unstructured data
  • Excellent written and oral communication skills
  • Strong attention to detail and commitment to reproducibility
  • Ability to collaborate with both technical and non-technical team members
  • High degree of creativity, initiative, and intellectual curiosity
Preferred Qualifications
  • Evidence of exceptional technical achievement, such as hackathon wins, awards, competitive programming, startup experience, open-source contributions, publications, deployed products, or other high-impact projects
  • Experience with biomedical, healthcare, clinical, or omics data
  • Experience with APIs, cloud platforms, Docker, databases, or scalable data systems
  • Experience with vector databases, embeddings, RAG systems, or AI agent frameworks
  • Experience with Python-based data science libraries and machine learning frameworks
  • Familiarity with data harmonization, metadata standards, ontologies, or research data repositories
  • Experience working in fast-paced startup, academic, or highly collaborative environments

Compensation and Benefits
  • Salary range: $60,000-$75,000, commensurate with experience
  • Full-time position
  • Exciting, collaborative work environment at the forefront of aging research, AI, and computational biology
  • Opportunity to help build AI-enabled systems for large-scale biomedical discovery
  • Generous benefits package, including:
    • Health insurance
    • Paid parental leave
    • Generous paid time off
    • 401(k) with 5% employer match
  • Work visa sponsorship may be available for qualified candidates

About the Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging - the number one risk factor for diseases including Alzheimer's disease, Parkinson's disease, cancer, macular degeneration, heart disease, and diabetes - the Buck seeks to help people live better longer.
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application.
Please upload:
  1. Resume or CV
  2. A brief statement describing your technical interests, relevant AI/data science experience, and examples of systems, tools, or projects you have built
  3. Names and contact information for three references, if available

Apply