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Biomedical Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

PhD to expect in one year, or PhD completed in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering, Electrical Engineering, Data ...

Polyzen LLC

Product Development Engineer

Apex, NC · On-site

Compile, maintain, review, and interpret product development data. * Review SOPs, work instructions ... Bachelor's degree in chemical engineering, mechanical engineering, biomedical engineering, or ...

Solesis

Product Development Engineer

Apex, NC · On-site

Compile, maintain, review, and interpret product development data. * Review SOPs, work instructions ... Bachelor's degree in chemical engineering, mechanical engineering, biomedical engineering, or ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... Biomedical Engineering, Electrical Engineering, Data science, Physics, Mathematics, Bioinformatics etc; Candidates with multidisciplinary backgrounds are welcome. • Strong skills in computational ...

Duke University

Associate in Research

Durham, NC

Strong programming skills. * Experience with machine learning frameworks such as PyTorch or ... data science, and AI-driven biomedical research. Our faculty collaborate widely across Duke ...

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Showing results 1-20

All JobsBiomedical Data Engineer JobsBiomedical Data Engineer Jobs in Raleigh, NC

Biomedical Data Engineer information

See Raleigh, NC salary details

$15

$61

$85

How much do biomedical data engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for biomedical data engineer in Raleigh, NC is $61.22, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $68.94 per hour, depending on experience, location, and employer.

Can a biomedical engineer become a data scientist?

A biomedical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their background in healthcare data and analytical thinking can be advantageous in transitioning to data science roles within biomedical or healthcare industries.

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.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in data analysis, machine learning, and programming can earn higher salaries.

Can a biomedical engineer make 200k?

Biomedical data engineers can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in data analysis and programming, and work in high-demand sectors like medical device companies or research institutions. However, salaries vary based on location, education, certifications, and the complexity of projects handled.

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 engineers make $500,000?

Senior biomedical data engineers with extensive experience, advanced skills in data analysis, machine learning, and familiarity with healthcare data systems can reach salaries of $500,000 or more, especially in high-cost regions or with leadership roles. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

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 Raleigh, NC? For Biomedical Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Biomedical Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Biomedical Data Engineer jobs? Cities near Raleigh, NC with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,343 per year, or $61.2 per hour.
Senior Clinical Data Manager

Senior Clinical Data Manager

Worldwide Clinical Trials

Durham, NC

Full-time

Posted 25 days ago

Job description

Who we are

We're a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world's most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence.

We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs - in the best possible way.

Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit.

Why Worldwide

We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day.Join us!

What the Senior Clinical Data Manager does at Worldwide

Oversee, lead, manage, and provide technicalexpertisewithin the assigned projects to ensure that they are executed in an efficient,accurate, andtimelymanner to the Sponsor's satisfaction.

What you will do

  • Provide fully independent and autonomous leadership of data management services (start up, conduct, and close out) across multiple complex globalprojects/programs, including:

  • Ensureappropriateresourcesareallocatedto complete all DM activities on time and within budget.

  • Prepare DM trial documentation (DMP, DB Specifications, Edit check specifications, CCGs, DTAs).

  • Ensure effective UAT is performed.

  • Write external vendor reconciliation specifications for programming reconciliation outputs (e.g., Serious Adverse Events, IRT, Central Laboratory).

  • Oversee data cleaning activities.

  • Produce metrics tomonitorthe progress of trial activities.

  • Ensure alldatabaselock activities are completed on time.

  • Represent WorldWideDM at both internal and external study meeting calls, including providing input.

  • Monitor project scope, budgets, and risks and alert DM Management of any concerns.

  • Liaise with DM Management at regular intervals to discuss progress and any issues outstanding (e.g., during Project Review Meetings).

  • Collaborate with internal Worldwidedepartments working on the same project.

  • Provide feedback on process improvements to DM Management and/or SMEs.

  • Participate in and lead process reviews.

  • Provide training,support, and mentorship to other members of the DM department.

  • Participate as necessary in sponsor audits, regulatory authority inspections, and otherthird-partymeetings.

  • Perform other duties as assigned.The duties and responsibilities listed above are representative of the nature and level of work assigned and are not necessarily all-inclusive.

What you bring to the role

  • Excellent attention to detail.

  • Excellent written and verbal communication skills.

  • Strongknowledge of data management best practices & technologies as applied to clinical trials.

  • Excellent communication and interpersonal skills to collaborate with cross-functionalinternal and external teams.

  • Strongunderstanding of clinical trial process and protocols documents (protocols, statistical analysis plans, CRFs, study reports) and processes.

  • Stronganalytical andproblem-solvingskills.

  • Independent and autonomous project oversight skills.

Your experience

  • Bachelor's degree or higher in biomedical sciences, life sciences, computerscience, or related discipline - or equivalent relevant experience.

  • Min of 5 years of experience in clinical data management or a related role within the pharmaceutical, biotechnology, or medical device industries.

Promotion to the next level is not automatic based on years of experience. Personnel are evaluated on proven competency, level of responsibility, and ability to work independently.

We love knowing that someone is going to have a better life because of the work we do.

To view our other roles, check out our careers page at Discover a world of difference at Worldwide!For more information on Worldwide, visit www.Worldwide.com or connect with us on LinkedIn.

Worldwide is an equal opportunity employer that is committed to enabling professionals from all backgrounds and experiences to succeed and, to that end, we prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and creativity. We know that when our employees feel appreciated and included, they can be more creative,innovative,and successful. We'reon a mission to hire thevery bestand are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We provide equal employment opportunities to all employees and applicants regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, military status, or other class protected by applicable law.

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