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Biomedical Data Engineer Jobs in Alabama (NOW HIRING)

Draper

Senior Guidance & Control Engineer

Huntsville, AL · On-site +1

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Prepares technical data, procedures, reports, drawings, manuals, and other required documentation.

Draper

Principal Guidance & Control Engineer

Huntsville, AL · On-site +1

$95K - $245K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Prepares technical data, procedures, reports, drawings, manuals, and other required documentation.

Draper

Senior Systems Architect

Huntsville, AL · On-site

From military defense and space exploration to biomedical engineering, lives often depend on the ... Draper has adopted an integrated, model-based, and data-driven mindset in solving complex ...

Tuskegee University

... biomedical fields. This position offers the opportunity to develop independent research while ... Seurat) and programming languages (e.g., Python, R, Bash). * Experience working with high ...

UAB NOVA RENT

RESEARCHER ASSOCIATE

Birmingham, AL · On-site

Bachelor's degree in Biology, Biomedical Sciences, Neuroscience, Engineering, or a related ... Knowledge of data management practices and basic statistical concepts relevant to biomedical ...

UAB NOVA RENT

BIOSTATISTICIAN LEAD

Birmingham, AL · On-site

$73K - $120K/yr

Proficiency in statistical programming and data analysis software Experience with complex biomedical or genomic datasets Knowledge of advanced statistical modeling techniques Familiarity with ...

Draper

Principal Systems Architect

Huntsville, AL

From military defense and space exploration to biomedical engineering, lives often depend on the ... Draper has adopted an integrated, model-based, and data-driven mindset in solving complex ...

GlaxoSmithKline

... biomedical engineering, data science or a related discipline. - Experience in clinical development, digital health, translational medicine or related fields. - Demonstrated experience leading digital ...

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Biomedical Data Engineer information

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 Alabama? For Biomedical Data Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Alabama look for? The top searched job categories for Biomedical Data Engineer jobs in Alabama are:
What cities in Alabama are hiring for Biomedical Data Engineer jobs? Cities in Alabama with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in Alabama as of June 2026, with employment types broken down into 79% Full Time, 15% Part Time, 3% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior/Mid-Level Model Based Systems Engineer (MBSE) U.S. Citizenship Required

Trigon Cyber, Inc.

Huntsville, AL • On-site

$97K - $133K/yr

Full-time

Posted 21 days ago

Job description

Salary:

Job Description:

We are seeking a talented MidSenior Level Model-Based Systems Engineer (MBSE) to support mission-critical programs in a collaborative environment. This role is ideal for someone with strong technical expertise who is committed to delivering reliable, system-level solutions in support of government objectives.The ideal candidate will have experience in one or more areas, including developing and coordinating Government customer requirements, system model descriptions, verification, specifications, test plans, and system risks and design reviews using a SysML tool.We also welcome candidates with strong quantitative and analytical backgrounds, including those from biomedical, biological, or computational research fields, who demonstrate the ability to learn and apply systems modeling methodologies.

Required Qualifications:

  • U.S. citizenship and Huntsville, Alabama area resident
  • Bachelors Degree in an engineering discipline (e.g., systems, aerospace, electrical, biomedical, etc.) or a related technical field such as computational biology, bioinformatics, or other quantitative sciences
  • Basic understanding of requirements and requirements specifications; candidates with experience defining research objectives, experimental protocols, or data pipeline specifications are encouraged to apply
  • Ability to learn Systems Modeling Language (SysML) and related languages such as UML or BPMN; candidates with experience in structured modeling environments (e.g., network models, statistical models, or simulation frameworks) are well-positioned to succeed
  • Ability to learn SysML modeling tools such as Cameo EA (a.k.a. MagicDraw)
  • Ability to work in a collaborative, team-oriented environment
  • Strong analytical and problem-solving skills; experience with data analysis, quantitative research, or computational methods is a plus

Desired Qualifications:

  • 5-7 years or more of experience working with a DoD government client or in a research environment involving complex systems, data integration, or multi-disciplinary teams
  • Familiarity with Cameo EA or other modeling or simulation tools such as Sparx EA or MATLAB; candidates with MATLAB experience from academic or research settings are strongly encouraged
  • Familiarity with programming languages such as Python, R, C++, or similar; experience using Python or R for data analysis, scripting, or automation is directly applicable
  • Experience with systems-level thinking: designing experiments with defined inputs, outputs, and verification criteria (e.g., thesis research, multi-omics pipelines, or engineering design projects)
  • Experience communicating complex technical findings to diverse audiences (e.g., presentations, publications, design reviews, or symposia)
  • Advanced degree (M.S. or Ph.D.) in an engineering or quantitative science discipline is a plus

Security Requirements:

Candidate must possess or be able to obtain and maintain a Final Secret Clearance.