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Biomedical Data Engineer Jobs in California (NOW HIRING)

Qiagen

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ... QIAGEN's biomedical knowledge base by integrating new knowledge from public data sources and ...

New

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ... QIAGEN's biomedical knowledge base by integrating new knowledge from public data sources and ...

New

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

The Health Sensing Hardware team is looking for a highly-motivated optical engineer to work on the ... This candidate should also be adept at analyzing user data to infer real-world performance trends ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

The Health Sensing Hardware team is looking for a highly-motivated optical engineer to work on the ... This candidate should also be adept at analyzing user data to infer real-world performance trends ...

Apple

Biomedical Sensor Architect

Cupertino, CA

$129K - $225K/yr

The Health Sensing Hardware team is looking for a highly-motivated optical engineer to work on the ... This candidate should also be adept at analyzing user data to infer real-world performance trends ...

Moffitt Cancer Center

$131K - $201K/yr

The AI/ML Engineer works at the intersection of machine learning engineering, multimodal data integration, foundation models, generative AI, biomedical data science, and cancer research. This ...

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Biomedical Data Engineer information

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 California?

For Biomedical Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in California look for?

The top searched job categories for Biomedical Data Engineer jobs in California are:

What cities in California are hiring for Biomedical Data Engineer jobs?

Cities in California with the most Biomedical Data Engineer job openings:

Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

Bioinformatics Engineer, QDI

Qiagen

Redwood City, CA • On-site

$130K - $150K/yr

Full-time

Medical, Vision, Life

Posted 2 days ago

New

Job description

Overview


At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.

We're dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We're always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.

At QIAGEN, every day is an opportunity to make a real-life impact.

Join us, grow with us, and together, let's shape the future of biological discovery.

About the opportunity

QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, our products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.

Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics.


As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN's biomedical knowledge base by integrating new knowledge from public data sources and facilitating capture of unstructured data into existing and new semantic models, as well as leveraging our Knowledge Graph to deliver data, interpretations, and inferences to our applications and customers. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams.
Your tasks include

  • Develop and maintain bioinformatics software tools and pipelines to ingest, transform, interpret, and export structured and unstructured biomedical data.

  • Maintain and extend a complex biomedical ontology spanning the entire range of biological entities and processes relevant to life science R&D and clinical genomics.

  • Collaborate with product management and application software developers to investigate new content sources related to product features and define requirements for content development projects.

  • Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base and interpretation of content in the applications via a Quality Management System (QMS).

Your profile

  • Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred.

  • 3+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.

  • Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control, code review, unit and integration testing, documentation, and collaborative development.

  • Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j).

  • Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL.

  • Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics, multiomics, cell biology, physiology and pathology.

The estimated base salary range for this position is $130,000 - $150,000. Compensation will be based on the candidate's experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits.

What we offer

  • Bonus/Commission

  • Local benefits

  • Referral Program

  • Volunteer Day

  • Internal Academy (QIALearn)

  • Employee Assistance Program

  • Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve.We inspire with our leadership and make an impact with our actions.We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.

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