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Biomedical Data Engineer Jobs in Arizona (NOW HIRING)

CND Life Sciences

Process Engineer II

Scottsdale, AZ · On-site

$84K - $87K/yr

Apply intermediate-level data analysis to assess process performance and identify improvement ... Bachelor's degree in Biomedical Engineering, Process Engineering, Industrial Engineering, or a ...

Becton, Dickinson and Company

Sr. R&D Engineer

Tempe, AZ · On-site

$100K - $137K/yr

B.S. degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering or other ... Ability to analyze data, interpret results, and write reports. * Proficient in statistic software.

Becton, Dickinson and Company

Sr. R&D Engineer

Tempe, AZ

$100K - $137K/yr

B.S. degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering or other ... Ability to analyze data, interpret results, and write reports. * Proficient in statistic software.

Stryker

Senior Medical Packaging Engineer

Tempe, AZ · On-site

$77K - $129K/yr

Analyze test data, identify design issues, and implement corrective actions to improve packaging ... Bachelor's degree in Engineering, Packaging Engineering, Mechanical Engineering, Biomedical ...

Stryker

Senior Medical Packaging Engineer

Tempe, AZ · On-site

$77K - $129K/yr

Analyze test data, identify design issues, and implement corrective actions to improve packaging ... Bachelor's degree in Engineering, Packaging Engineering, Mechanical Engineering, Biomedical ...

Stryker

R&D Mechanical Engineer

Tempe, AZ · On-site

$69K - $110K/yr

Develop prototypes and evaluate multiple design solutions using data to support design decisions ... Bachelor's degree in Mechanical Engineering, Biomedical Engineering, or related engineering ...

AbbVie

Senior Engineer

Tempe, AZ · On-site

$109K/yr

Analyze multidisciplinary data and translate findings into technical conclusions and next-step ... Bachelor's Degree in Mechanical or Biomedical Engineering and typically 12 years of experience ...

AbbVie

Senior Engineer

Tempe, AZ

$100K - $137K/yr

Analyze multidisciplinary data and translate findings into technical conclusions and next-step ... Bachelor's Degree in Mechanical or Biomedical Engineering and typically 12 years of experience ...

AbbVie

Senior Engineer

Tempe, AZ · On-site

$100K - $137K/yr

Analyze multidisciplinary data and translate findings into technical conclusions and next-step ... Bachelor's Degree in Mechanical or Biomedical Engineering and typically 12 years of experience ...

IQVIA

MedTech Field Service Engineer

Tucson, AZ

$27 - $32/hr

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

IQVIA

MedTech Field Service Engineer

Phoenix, AZ

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

IQVIA

MedTech Field Service Engineer

Phoenix, AZ

$27 - $32/hr

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

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All JobsBiomedical Data Engineer JobsBiomedical Data Engineer Jobs in Arizona

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

Process Engineer II

CND Life Sciences

Scottsdale, AZ • On-site

$84K - $87K/yr

Full-time

Posted 7 days ago

Job description

Description
Position Summary
The Process Engineer II is a mid-level role focused on advancing operational excellence through the design, implementation, and refinement of scalable process improvements across laboratory, research, and operations workflows. This engineering role builds upon foundational experience to lead targeted initiatives, support automation integration, and enhance compliance and quality. The Process Engineer II will operate with moderate autonomy while collaborating with cross-functional stakeholders, using data-driven insights and continuous improvement methodologies to optimize performance and support organizational growth.
What you'll be doing:
Process Optimization & Workflow Development
  • Independently leads small-to-mid-scale process improvement projects to optimize laboratory, research, and operational workflows.
  • Develop, implement, and validate process enhancements that align with regulatory expectations and business goals.
  • Facilitate process mapping, root cause analysis, and corrective/preventive actions for workflow inefficiencies.
  • Support or co-lead automation and systems integration projects aimed at improving scalability, consistency, and efficiency.
  • Contribute to the development and standardization of technical documentation, including SOPs, protocols, and reports.
  • Track and analyze operational data and KPIs to inform continuous improvement efforts.

Technical Problem-Solving & Data-Driven Improvements
  • Apply intermediate-level data analysis to assess process performance and identify improvement opportunities.
  • Assist with troubleshooting and resolving operational deviations, process failures, or performance gaps.
  • Evaluate and support the integration of digital tools and automation solutions to enhance throughput and reproducibility.
  • Participate in validation activities for new or modified processes, software, and laboratory systems.
  • Maintain awareness of emerging technologies, regulatory considerations, and best practices in process engineering.

Cross-Functional Collaboration & Project Execution
  • Work closely with Laboratory Operations, Pathology Operations, IT, Research, Quality, and Regulatory teams to support successful implementation of process changes.
  • Participate in stakeholder meetings to align process improvements with organizational and compliance requirements.
  • Provide clear communication of project objectives, milestones, and outcomes to cross-functional collaborators.
  • Support or manage small-to-mid-size assigned projects or project components as assigned, ensuring timely execution and alignment with broader engineering strategy.
  • Contributes to strategic planning under guidance.

Requirements
What you'll need:
Knowledge, Skills & Experience
  • 2-5 years of experience in process engineering, laboratory operations, biotechnology, or a related field.
  • Proficiency with Lean, Six Sigma, or other continuous improvement methodologies.
  • Experience with data analysis tools and workflow modeling software (e.g., Excel, JMP, Python, MATLAB, or similar).
  • Solid understanding of process development, process mapping, and validation principles.
  • Ability to interpret operational data, conduct root cause analysis, and propose actionable solutions.
  • Exposure to laboratory automation systems, digital process tools, and/or regulated environments preferred.
  • Effective written and verbal communication skills for both technical documentation and cross-functional engagement.
  • Strong organizational skills and ability to manage multiple projects in a dynamic, fast-paced setting.
  • Comfortable working across laboratory, research, and office environments, occasionally performing hands-on assessments.
  • Working knowledge of regulatory guidance and compliance expectations (e.g., CLIA, CAP, FDA, ISO 13485) to ensure alignment of process improvements with quality and compliance standards.
  • Strong analytical and problem-solving skills to assess inefficiencies, conduct root cause analyses, and develop effective solutions.
  • Ability to lead, mentor, and provide technical guidance to junior engineers or team members as needed.

Education, Certifications, and Licensures
  • Bachelor's degree in Biomedical Engineering, Process Engineering, Industrial Engineering, or a related field required.
    • Master's degree in a related discipline is a plus.
  • Lean Six Sigma Yellow Belt or equivalent coursework preferred (Green Belt a plus).
  • Additional certifications in continuous improvement or project management are desirable but not required.

Other
  • Combination of seated and standing work to complete the core functions of the role.
  • Adherence to company safety policy.
  • Ability to work onsite at the Company's Scottsdale, AZ headquarters approximately five (5) days a week.

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