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Biomedical Data Engineer Jobs in San Ramon, CA (NOW HIRING)

Pilgrim

Biomedical Engineer

Redwood City, CA · On-site

As a Biomedical Engineer at Pilgrim, you will be a hands-on member of our engineering team, driving ... Maintain disciplined documentation across CAD revisions, design decisions, test data, and ...

Phylo

Enterprise GTM

South San Francisco, CA · On-site

$200K - $300K/yr

... how biomedical research is done. Our fast-growing team brings together researchers and engineers ... Strong scientific literacy: you can discuss experimental design, evaluate data sources, and hold ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Agiliti

Biomedical Equipment Technician

Hayward, CA

$32.55 - $52.05/hr

Complete all paperwork and computer data entry accurately and promptly to ensure complete ... An associate degree in electronics, mechanical engineering, or biomedical equipment technology.

Ceribell, Inc

Data Scientist

Sunnyvale, CA

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

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Biomedical Data Engineer information

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How much do biomedical data engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for biomedical data engineer in San Ramon, CA is $70.38, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $79.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biomedical Data Engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by Biomedical Data Engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a Biomedical Data Engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in San Ramon, CA? For Biomedical Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Biomedical Data Engineer jobs? Cities near San Ramon, CA with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you

Machine Learning Engineer, Life Sciences

Goodfire

San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Goodfire is a research company focused on interpretability in AI systems. They are seeking a Machine Learning Engineer to build platforms for training and deploying interpretable AI systems, particularly in the life sciences domain.
Responsibilities:
• Productionize interpretability research into maintainable tools, APIs, and workflows that work on real models and real scientific data.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Prototype techniques to visualize and manipulate internal model structures.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world
Preferred:
• Experience with biological / life sciences ML (computational biology, bioinformatics, digital pathology, protein/genomics, multimodal biomedical data).
• Open-source ML infrastructure contributions.
• Startup or frontier-lab experience in fast-moving teams
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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