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Biomedical Data Engineer Jobs (NOW HIRING)

Data Engineer

Miami, FL

$104K - $125K/yr

Responsible for data integration, monitoring of data storage, and data distribution across multiple ... Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Responsible for data integration, monitoring of data storage, and data distribution across multiple ... Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field ...

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 ...

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 ...

Biomedical Engineer

Houston, TX · On-site

$104K - $119K/yr

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 ...

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Biomedical Data Engineer information

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$15

$62

$88

How much do biomedical data engineer jobs pay per hour?

As of Jun 8, 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 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Senior Manager, Artificial Intelligence Data Engineer

Senior Manager, Artificial Intelligence Data Engineer

Regeneron Pharmaceuticals

Armonk, NY • On-site

$123K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 71 rated pharmaceutical


Job description

Build our future together:

Global Development is embarking on a Digital Transformation project incorporating AI, machine learning, and automation to help us reduce cycle times, improve quality allowing us to focus on more meaningful work. We focus on developing and improving data pipelines, infrastructure, architecture, and analytic tools to allow resources to fuel our transformation. Working with a team of engineers, analysts, and scientists, you will contribute to modernizing our clinical data infrastructure. This highly visible role will be a technical and strategic liaison between the transformation projects and IT.

A key responsibility will be developing and optimizing schema and data models for clinical data. We ensure that those products are standard compliant and interoperable with other platforms and data sources. This role will also contribute to data governance strategy and to the development and management of tools improving and monitoring data quality. The data engineer will also develop processes to automate routine workflows. The engineer will also provide technical leadership and mentorship and will stay current with innovations in data engineering so that they may be evaluated for implementation.
This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

When & where:
This can be a remote position in the US or on-site position at our Armonk, NY or Warren, NJ offices.

Discover your role:
Work with a cross-functional team to optimize and implement our data strategy with a focus on optimization for digital transformation and the use of AI/ML
Design and document end-to-end data architectures that support diverse analytic, operational, and research needs.
Facilitate the implementation of a modern data platform (e.g. Snowflake, Databricks, etc.)
Identify opportunities and implement solutions to increase data interoperability and standardization among systems and across other business units.
Develop and implement pipelines to monitor and improve both internal and external (i.e., from CRO partners) data quality.
Work with informatics and AI engineers optimizing the utility of data for their respective pipelines.
Monitor and optimize the performance of data architectures and platforms.
Develop or implement critical metrics to measure the impact of the overall data strategy.
Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption

This role requires:
An advanced degree in computer science, statistics, biomedical informatics, or a related field is preferred (PhD + 2 years of experience or an MS + 4 years of relevant experience). A minimum of 5 years' experience developing and leading the implementation of data engineering solutions, including accountability for the success of the implementation, in life sciences or healthcare
Demonstrated expertise in designing and maintaining infrastructure and architecture for clinical or biomedical data in a healthcare or life sciences setting.
Expertise in modern data platforms (e.g., Snowflake, Redshift, BigQuery, Databricks) and programming languages such as Python, SQL, R, etc.
Maintain and manage code repositories (e.g Bitbucket) ensuring clean, well-documented code with proper version control.
Proficiency in cloud architecture (e.g. AWS, Azure, GCP) and DevOps practices. Recognized certifications are a plus.
Experience building, scaling, and maintaining pipelines for structured and unstructured data. Ability to integrate pipelines across the enterprise is essential.
Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR).
Knowledge of machine learning pipelines and integration with clinical data platforms.
May require travel up to 20%.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries' specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron's roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron's on-site policy and expectations for your role and your location.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)

$150,500.00 - $245,500.00

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