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Biomedical Data Engineer Jobs in Virginia (NOW HIRING)

Experience collaborating with multidisciplinary teams (technical, data, engineering) * Strong ... Experience with biomedical, genomic, or scientific literature and complex datasets * Experience ...

Experience collaborating with multidisciplinary teams (technical, data, engineering) * Strong ... Experience with biomedical, genomic, or scientific literature and complex datasets * Experience ...

Experience collaborating with multidisciplinary teams (technical, data, engineering) * Strong ... Experience with biomedical, genomic, or scientific literature and complex datasets * Experience ...

Biomedical Engineer Senior

Reston, VA · On-site

$102K - $108K/yr

Job Summary: Castalia Systems is seeking a Biomedical Engineer, Senior to support to the ... We provide cutting-edge solutions from Securing and Managing Data to Systems Engineering and ...

Biomedical Engineer Senior

Reston, VA · On-site

$102K - $108K/yr

Castalia Systems is seeking a Biomedical Engineer, Senior to support to the government's all source ... We provide cutting-edge solutions from Securing and Managing Data to Systems Engineering and ...

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

... programming languages: Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and integrating large biomedical or ...

... programming languages: Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and integrating large biomedical or ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

... programming languages: Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and integrating large biomedical or ...

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Biomedical Data Engineer information

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 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 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 Subject Matter Expert

Steampunk

Mclean, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Overview
We are seeking a Biomedical Subject Matter Expert (SME) to provide scientific and domain expertise supporting biomedical research and technology-enabled initiatives. The SME will bring deep knowledge in one or more areas - biology, genetics, biophysics, or language/communication science - to ensure technical solutions, analyses, and outputs are scientifically sound and appropriately interpreted.
The SME will work alongside researchers, engineers, and program stakeholders, translating scientific concepts into actionable guidance and supporting task-based delivery across assigned use cases. This role is scientific and advisory in nature - it does not require building or operating AI/ML systems, though familiarity with how such tools are used in research is valuable.
Contributions
Responsibilities include:
  • Provide subject matter expertise in biomedical, biological, genetic, biophysical, or language/communication science domains
  • Support task-based delivery of biomedical use cases, analyses, and technical initiatives
  • Collaborate with technical and scientific teams to define use cases, requirements, terminology, and expected outcomes
  • Translate complex scientific concepts into clear guidance for technical and non-technical stakeholders
  • Review technical outputs, analyses, and model results for scientific accuracy and appropriate interpretation
  • Identify scientific assumptions, limitations, and risks in analyses, models, or outputs
  • Support development of scientifically meaningful requirements, evaluation criteria, and documentation
  • Maintain awareness of developments in biomedical research relevant to assigned domains

Qualifications
Required:
  • Ability to obtain and maintain a government security clearance
  • Advanced degree (PhD preferred) in Biology, Genetics, Biophysics, Biomedical Sciences, Linguistics/Communication Sciences, or a related scientific discipline
  • 5+ years of professional, research, or academic experience in a relevant biomedical or scientific domain
  • Deep subject matter expertise in one or more of: biology, genetics, biophysics, or natural language/communication science
  • Strong grounding in scientific research methods, terminology, and analytical approaches within the area of expertise
  • Ability to evaluate technical or analytical outputs for scientific accuracy, relevance, and appropriate interpretation
  • Ability to translate scientific concepts into actionable guidance for varied audiences
  • Experience collaborating with multidisciplinary teams (technical, data, engineering)
  • Strong analytical, communication, and problem-solving skills; ability to deliver task-based work on established timelines

Preferred:
  • Familiarity with AI/ML, data science, or NLP concepts and how they're applied in biomedical or scientific research
  • Experience with biomedical, genomic, or scientific literature and complex datasets
  • Experience supporting federal health, biomedical, or scientific research organizations, including NIH or similar environments
  • Experience working with interdisciplinary teams combining scientific and technical expertise

About steampunk
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.