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Validation Engineer Biomedical information

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How much do validation engineer biomedical jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for validation engineer biomedical in Raleigh, NC is $50.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $61.44 per hour, depending on experience, location, and employer.

What is the difference between Validation Engineer Biomedical vs Quality Assurance Engineer Biomedical?

AspectValidation Engineer BiomedicalQuality Assurance Engineer Biomedical
CertificationsGMP, ISO, FDA validation certificationsGMP, ISO, audit and compliance certifications
Work EnvironmentDesign, develop, and execute validation protocols for medical devicesDevelop and maintain quality systems, audits, and process improvements
Industry UsagePrimarily in medical device manufacturing and regulatory validationAcross medical device, pharmaceutical, and biotech industries

Validation Engineer Biomedical focuses on ensuring medical devices meet regulatory validation requirements through testing and protocols. Quality Assurance Engineer Biomedical emphasizes maintaining quality systems, compliance, and process improvements. Both roles are essential in the biomedical industry but serve different functions related to validation versus quality assurance.

What are some typical challenges faced by Validation Engineers in the biomedical industry and how can they be addressed?

Validation Engineers in the biomedical field often face challenges such as keeping up with evolving regulatory requirements, managing complex documentation, and ensuring equipment or processes meet stringent quality standards. Navigating audits and working cross-functionally with R&D, manufacturing, and quality assurance teams can also be demanding. To address these challenges, staying current with industry regulations, developing strong organizational and communication skills, and maintaining meticulous records are essential for success and career growth in this role.

What are the key skills and qualifications needed to thrive as a Validation Engineer in Biomedical, and why are they important?

To thrive as a Validation Engineer in Biomedical, you need a solid background in engineering or life sciences, knowledge of regulatory standards (such as FDA or ISO 13485), and experience with validation protocols. Familiarity with technical tools like statistical analysis software, calibration equipment, and documentation systems is essential, and certifications such as Six Sigma or CQE can be advantageous. Strong problem-solving, attention to detail, and effective communication skills help you excel in cross-functional teams and ensure compliance. These skills are crucial for maintaining product quality, meeting regulatory requirements, and ensuring patient safety in biomedical environments.

What does a Validation Engineer do in the biomedical field?

A Validation Engineer in the biomedical industry ensures that equipment, processes, and systems used in the production of medical devices or pharmaceuticals meet regulatory standards and function as intended. Their work involves planning and executing validation protocols, documenting results, and troubleshooting any deviations. This role is crucial for maintaining product quality, patient safety, and compliance with regulatory agencies such as the FDA. Validation Engineers often collaborate with quality assurance, manufacturing, and research teams to establish and maintain validated systems throughout a product's lifecycle.
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What job categories do people searching Validation Engineer Biomedical jobs in Raleigh, NC look for? The top searched job categories for Validation Engineer Biomedical jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Validation Engineer Biomedical jobs? Cities near Raleigh, NC with the most Validation Engineer Biomedical job openings:
Validation Engineer Biomedical jobs near you
Clinical Data Scientist (Data Analyst Level 3 Digital Measures)

Clinical Data Scientist (Data Analyst Level 3 Digital Measures)

Alphanumeric

Durham, NC

$80 - $97/hr

Contractor

Posted 2 days ago

Job description

Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Research Triangle Park, NC (Hybrid)

Alphanumeric is hiring a Clinical Data Scientist - Data Analyst Level 3 (Digital Measures) to support our client, a global pharmaceutical leader we've proudly partnered with for over 20 years. This is an exciting opportunity to work at the intersection of clinical research, data science, and digital health, helping transform wearable and sensor-generated data into meaningful clinical insights that support innovative therapies and improve patient outcomes.


Pay Range: $80.00 - $97.00/hour (W2)
Location: Research Triangle Park, NC area (Hybrid)
Employment Type: W2 Contract
Please Note: No third-party agencies. Sponsorship is not available for this position.

About the Role

As a Clinical Data Scientist supporting the Digital Measures team, you'll analyze complex clinical and sensor-derived datasets to help validate digital endpoints used in clinical trials. You'll develop reproducible analytical workflows, generate actionable insights, and collaborate with multidisciplinary teams to advance innovative measurement strategies that support drug development.

This role is ideal for someone who enjoys combining clinical data, programming, statistical analysis, and data visualization to solve complex healthcare challenges.

What You'll Do
  • Prepare, clean, and analyze digital biomarker and sensor-derived datasets for clinical research
  • Develop reproducible analytical workflows, including data cleaning, transformation, quality control, and documentation
  • Perform exploratory and statistical analyses to evaluate digital measures, including reliability, sensitivity to change, and other validation metrics
  • Integrate wearable and sensor data with clinical and patient-reported outcome (PRO) datasets
  • Create meaningful data visualizations, dashboards, and analytical summaries for scientific and business stakeholders
  • Document analytical methodologies to support regulatory expectations and internal governance
  • Partner with Digital Measures, Clinical Study, Data Engineering, and Patient-Centered Outcomes teams to support digital endpoint development
  • Ensure data integrity, reproducibility, and high-quality analytical deliverables throughout the project lifecycle

Required Qualifications
  • Master's, or PhD in Data Science, Statistics, Biostatistics, Computer Science, Biomedical Engineering, or a related quantitative field
  • Strong experience in data science, analytics, biostatistics, or clinical data analysis
  • Experience working with longitudinal, clinical, or healthcare datasets
  • Strong programming skills in Python and/or R
  • Experience creating data visualizations and communicating analytical findings to technical and non-technical audiences
  • Strong understanding of data quality, reproducible research practices, and documentation standards
  • Excellent analytical, problem-solving, and collaboration skills
Preferred Qualifications
  • Experience with Databricks
  • Experience working with digital health technologies, wearable devices, or sensor-derived data
  • Clinical trial or pharmaceutical industry experience
  • Understanding of digital endpoint development and measurement validation concepts such as reliability, validity, and responsiveness
  • Familiarity with regulatory expectations related to endpoint development and clinical evidence generation
What Success Looks Like

In this role, you'll contribute by:

  • Delivering high-quality, analysis-ready datasets on schedule
  • Building robust, reproducible analytical pipelines
  • Producing clear, actionable insights that support scientific decision-making
  • Advancing evidence generation for innovative digital endpoints used in clinical research
Why Join Alphanumeric?

For more than 20 years, Alphanumeric has partnered with one of the world's leading pharmaceutical organizations to provide exceptional talent supporting groundbreaking research and development. You'll work alongside experts who are shaping the future of medicine while gaining experience with cutting-edge digital health technologies and advanced clinical analytics.

If you're passionate about applying data science to improve patient outcomes and accelerate clinical innovation, we'd love to hear from you. Apply today!

Education:Employment Type: CONTRACTOR

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