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Biomedical Data Engineer Jobs (NOW HIRING)

Leverage medical informatics, statistics, and data analysis tools in support of complex medical decisions. Qualifications: * A Bachelor's degree, MS preferred, in Biomedical or related engineering ...

Biomedical Engineer Location: NASA Johnson Space Center, Houston, TX Clearance: National Agency ... Design, develop and/or modify software and hardware for data reduction and analysis, and data ...

Data Engineer

New York, NY ยท On-site +1

$241K - $338K/yr

The Team Biohub is a 501(c)(3) biomedical research organization building the first large-scale ... The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy ...

The Team Biohub is a 501(c)(3) biomedical research organization building the first large-scale ... The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy ...

In this role you will also be designing user studies and analyzing data to empirically prove the ... MS/PhD in Biomedical, Optical Engineering or related field. Minimum Qualifications In-depth ...

AI Data Engineer

Cambridge, MA

$125.10K - $150.30K/yr

Direct collaboration with medicinal chemists, biomedical researchers, and domain experts to deeply ... Development of scalable backend services using Python frameworks for data processing, embedding ...

In this role you will also be designing user studies and analyzing data to empirically prove the ... PhD in Biomedical, Optical Engineering or related field. Minimum Qualifications In-depth ...

Manager, Biomedical Engineering

Carbondale, IL ยท On-site

$94.52K - $148.87K/yr

This position assists the Biomedical Engineering Director with all aspects of program management, including work history data analysis, staffing allocation, budget, equipment acquisition planning and ...

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Biomedical Data Engineer information

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How much do biomedical data engineer jobs pay per hour?

As of Jun 1, 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:
Infographic showing various Biomedical Data Engineer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Data Scientist- AI.HealthAll

University of Illinois Chicago

Chicago, IL โ€ข On-site

$100K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description


Data Scientist- AI.HealthAll
Data Scientist- AI.HealthAll
Hiring Department: College of Medicine
Location: Chicago, IL USA
Requisition ID: 1040425
Posting Close Date: 6/1/2026
Salary: The budgeted salary rate for the position is $100,000-130,000
About the University of Illinois Chicago
UIC is among the nation's preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent "Best Colleges" rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has over 300,000 alumni, and is one of the largest employers in the city of Chicago.
This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.
Position Summary
The Data Scientist will lead and contribute to the design, development, and implementation of artificial intelligence (AI) and machine learning (ML) solutions that advance healthcare delivery, clinical decision-making, and population health research with attention to model generalizability, fairness, and performance across diverse patient populations.
This role integrates data science, software engineering, and translational research, with a focus on reproducibility, fairness, and real-world clinical impact.
The data scientist will serve as a technical and scientific lead, collaborating with faculty, clinicians, and data engineers to deliver impactful applied research projects. The position also includes mentorship of junior researchers and fostering a high standard of technical and scientific excellence across the program.

Duties & Responsibilities

Research and Technical Leadership
-Lead applied AI and ML research projects in healthcare and biomedical domains.
-Develop, fine-tune, and evaluate advanced machine learning models, including large language models and multimodal architectures.
-Translate research findings into deployable systems, decision-support tools, or analytical frameworks.
-Ensure all research outputs adhere to best practices in reproducibility, documentation, and data integrity.
Collaboration and Grant Development
-Collaborate with clinical investigators and interdisciplinary teams to identify opportunities for AI-driven solutions.
-Contribute to manuscripts, technical reports, and grant proposals, and institutional pilot mechanisms.
-Present project outcomes in academic and professional settings.
Mentorship and Supervision
-Supervise and mentor junior data scientists, research associates, and students.
-Provide guidance on experimental design, software development, and machine learning methodology.
-Promote a collaborative and transparent research environment.
Infrastructure and Innovation
-Develop and maintain data processing pipelines, model repositories, and evaluation tools.
-Implement scalable and secure computing environments that comply with institutional data-governance and privacy policies.
-Support the integration of AI tools into ongoing clinical and translational research workflows.
Minimum Qualifications
  • Ph.D. in Computer Science, Electrical Engineering, Biomedical Informatics, or a related quantitative field.
  • Strong record of research in applied machine learning, natural language processing, or related AI domains.
  • Proficiency with modern ML frameworks such as PyTorch, or TensorFlow.
  • Demonstrated programming expertise in Python and familiarity with distributed or cloud-based computing.
  • Experience working with large or complex datasets, preferably in healthcare or biomedical contexts.
  • Evidence of peer-reviewed publications or equivalent research outputs.
  • Excellent communication and collaboration skills within multidisciplinary teams.
Preferred Qualifications
  • Experience leading or coordinating research and technical teams.
  • Prior work with clinical or biomedical data, including electronic health records or medical text.
  • Familiarity with data privacy, ethical AI practices, and reproducibility standards.
  • Demonstrated success in contributing to or securing research funding.

The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.
The university provides accommodations to applicants and employees. Request an Accommodation
Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.
To apply, visit https://uic.csod.com/ux/ats/careersite/1/home/requisition/19681?c=uic
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