ZipRecruiter

Log In

1

Biomedical Data Engineer Jobs in Virginia (NOW HIRING)

N-C

Quality Engineer

Chesapeake, VA · On-site

$69K - $90K/yr

... biomedical, and material handling. We have an exciting opportunity for an experienced Quality ... Analyze quality data and performance metrics using statistical methods to identify trends, drive ...

CoVar

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical ... Build data pipelines, train/evaluate CV models, and write production code. * Design, train, and ...

N-C

Industrial Engineer

Chesapeake, VA · On-site

$68K - $91K/yr

... biomedical, and material handling. We have an exciting opportunity for an experienced Industrial ... Conduct statistical data analysis to identify trends, patterns, and opportunities for process ...

Virginia Tech

Research Scientist

Blacksburg, VA

... data. The position's responsibilities will include: Collaborate with interdisciplinary teams including biomedical engineering, cancer biology and clinical research partners. Design, plan, and execute ...

N-C

Senior Quality Engineer

Virginia Beach, VA · On-site

$78K - $106K/yr

... biomedical, and material handling. Busch Vacuum Solutions has an immediate direct hire opportunity ... Utilize statistical methods to analyze quality data, identify trends, and implement corrective ...

Virginia Tech

OPM-MEG Technician

Blacksburg, VA · On-site

... engineer is sought to operate and maintain the OPM-MEG system at the Fralin Biomedical Research Institute. Responsibilities include system oversight during grant-related data collection, scheduling ...

next page

Showing results 1-20

All JobsBiomedical Data Engineer JobsBiomedical Data Engineer Jobs in Virginia

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 Virginia? For Biomedical Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Virginia look for? The top searched job categories for Biomedical Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Biomedical Data Engineer jobs? Cities in Virginia with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you

Senior Associate HPC AI Scientist

Publicis Groupe Holdings B.V

Arlington, VA • On-site

$145K - $165K/yr

Full-time

Medical, PTO

Re-posted 12 days ago

Job description

Company description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com
Overview
Publicis Sapient is looking for an AI Scientist & Training Specialist to support advanced AI and machine learning initiatives within a large-scale high-performance computing (HPC) environment. In this role, you will design, deliver, and maintain hands-on deep learning and AI training programs that enable researchers and technical teams to apply modern AI techniques to complex, real-world scientific challenges. You will work in a fast-paced, highly collaborative environment alongside scientists, engineers, and system administrators, translating advanced concepts into practical, example-driven learning experiences. This role blends deep technical expertise with a passion for teaching and knowledge sharing. You will help empower researchers and technical professionals by equipping them with the skills and confidence to leverage AI, deep learning, and GPU-enabled HPC systems in support of cutting-edge scientific discovery. Your work will directly influence how advanced computational tools are adopted and applied across biomedical and life sciences research.
Responsibilities
  • Design and deliver hands-on deep learning and AI training sessions using real-world scientific and biomedical datasets
  • Develop, maintain, and continuously improve training materials, including notebooks, scripts, exercises, and technical documentation
  • Teach core deep learning concepts such as neural networks, convolutional neural networks (CNNs), model training, optimization, and evaluation
  • Support and instruct on the use of modern deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) in GPU-enabled HPC environments
  • Guide users on best practices for running AI workloads on shared HPC systems, including job scheduling, performance optimization, and resource utilization
  • Collaborate with HPC and scientific computing teams to ensure training content aligns with current infrastructure, policies, and tools
  • Provide post-training support through office hours, troubleshooting, and consultation for ongoing research projects
  • Keep training curricula current with advances in AI, deep learning tooling, and evolving research priorities

Qualifications
  • Advanced degree (PhD or MD) in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related discipline
  • Strong hands-on experience developing and training deep learning models
  • Practical experience working in Linux-based HPC environments, including GPU computing
  • Demonstrated experience delivering technical training, workshops, or instructional content to scientific or technical audiences
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

Preferred Experience
  • Experience supporting biomedical, life sciences, or federally funded research initiatives
  • Familiarity with large-scale research computing environments and HPC workflows
  • Experience building reproducible training materials using tools such as Jupyter notebooks and Git-based repositories
  • Knowledge of data management, security, and compliance considerations in regulated research environments

Additional information
  • Wellness program and employee assistance.
  • Generous paid leave and holidays.
  • Comprehensive health benefits for you and your family.
  • Flexibility to support work-life balance.
  • Competitive compensation and benefits package.
  • Access to ongoing learning and development opportunities.
  • An inclusive workplace that promotes diversity and collaboration.

Salary Range: $145,000 - $165,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Apply