ZipRecruiter

Log In

1

Biomedical Data Engineer Jobs (NOW HIRING)

Roivant

Founding Engineer, Roivant Health

Manhattan, NY · On-site

... biomedical data. Responsibilities : • Contribute to technical strategy for new company formation, including scoping early technical feasibility, identifying data and infrastructure needs, and ...

GSK

Senior Data Platform Engineer

South San Francisco, CA · On-site

$137K - $165K/yr

... biomedical data space. A Sr Data Platform Engineer is a technical individual contributor, building modern, cloud-native systems for standardizing and templatizing scientific data analysis and data ...

Moffitt

Research Software Engineer

Long Beach, CA · On-site

$215K/yr

Summary The Machine Learning Engineer provides an array of services to support the Department of ... We are looking for a motivated individual to develop open-source software for biomedical data ...

Trust IT LLC

Lead Knowledge Graph Engineer

Collegeville, PA · On-site

$101K - $133K/yr

In this role, you will act as the technical visionary bridging complex biomedical data (genetics ... engineering experience with Graph Databases, Triple Stores, or Labeled Property Graphs (LPG)

Emory University

Data Engineer II - OIT

Atlanta, GA · On-site

$111K - $133K/yr

This role requires a strong foundation in data engineering, biomedical informatics principles, data governance, and compliance standards such as HIPAA. The ideal candidate is a collaborative team ...

Emory University

Data Engineer II - OIT

Atlanta, GA · On-site

$111K - $133K/yr

This role requires a strong foundation in data engineering, biomedical informatics principles, data governance, and compliance standards such as HIPAA. The ideal candidate is a collaborative team ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

... biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical ... The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data ...

Novartis

Scientific Data Engineer

Cambridge, MA · Hybrid

$103K - $192K/yr

Cambridge, MA Summary The Oncology Data Science (OncDS) team in Biomedical Research provides ... We are seeking a motivated and curious Scientific Data Engineer at the beginning of their ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA

$130K - $156K/yr

... biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical ... The  Data Engineer IV  is a senior member of the Office of the Chief Data Office (OCDO) Data ...

Wisconsin

Data Solutions Architect

Madison, WI · Remote

... biomedical research, advanced analytics, and AI-driven discovery. The Data Solutions Architect ... Working closely with data engineers, AI specialists, securityanalyst, and governance leaders, the ...

iQuasar LLC

Biomedical Engineer

Long Beach, CA · On-site

$100K/yr

This position is ideal for someone who enjoys working at the intersection of project execution, data analysis, and system implementation. Position: Biomedical Engineer Location : Onsite, Long Beach ...

next page

Showing results 1-20

All JobsBiomedical Data Engineer Jobs

Biomedical Data Engineer information

See salary details

$15

$62

$88

How much do biomedical data engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for biomedical data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 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.

More about Biomedical Data Engineer jobs
What cities are hiring for Biomedical Data Engineer jobs? Cities with the most Biomedical Data Engineer job openings:
What states have the most Biomedical Data Engineer jobs? States with the most job openings for Biomedical Data Engineer jobs include:
What job categories do people searching Biomedical Data Engineer jobs look for? The top searched job categories for Biomedical Data Engineer jobs are:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Founding Engineer, Roivant Health

Roivant

Manhattan, NY • On-site

Full-time

Re-posted 21 hours ago

Job description

Job Summary:
Roivant is seeking a Founding Engineer to work on the core technology underpinning new healthcare and life sciences companies. You’ll partner with business, operational, product, and/or clinical leaders to rapidly de-risk, prototype and productize new software, working at the intersection of AI, data engineering, and real-world biomedical data.
Responsibilities:
• Contribute to technical strategy for new company formation, including scoping early technical feasibility, identifying data and infrastructure needs, and building initial proof-of-concept systems
• Design, build, and iterate on tooling, infrastructure, and workflows to run AI/ML training and inference workloads at scale across varied health × AI applications
• Develop and refine data and model pipelines that integrate multimodal health data (e.g., clinical text, omics, imaging, sensor data, etc.) for downstream AI/ML tasks
• Collaborate closely with domain experts and business stakeholders to incorporate client and commercial insights into model design and deployment
Qualifications:
Required:
• Experience building and deploying ML or AI systems in production
• Strong Python engineering skills with experience in building scalable, testable codebases
• Comfort working in fast-paced, high-ambiguity environments where requirements evolve
Company:
Roivant aims to improve health by rapidly delivering innovative medicines and technologies to patients. Founded in 2014, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply