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Biomedical Data Engineer Jobs in Worcester, MA (NOW HIRING)

Abbott

Staff AI/ML Engineer

Westford, MA

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a ...

Abbott Laboratories

Staff AI/ML Engineer

Westford, MA · On-site

$99.30 - $198.70/hr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a ...

New

RoslinCT US

Senior Process Engineer

Hopkinton, MA · On-site

$114K - $147K/yr

Compile comprehensive data packages, operating procedures, and technical documentation to support ... Bachelor's degree. in Biological, Biomedical or Chemical Engineering (or similar) with 5-10 years ...

Convergent Dental, Inc.

Quality Engineer

Waltham, MA · On-site

$90K - $135K/yr

Analyze post-market data and trends to identify opportunities for product and process improvements ... Bachelor's degree in Engineering, Biomedical Engineering, or related technical discipline.

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Biomedical Data Engineer information

See Worcester, MA salary details

$15

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How much do biomedical data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for biomedical data engineer in Worcester, MA is $62.84, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $70.77 per hour, depending on experience, location, and employer.

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 Worcester, MA?

For Biomedical Data Engineer jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in Worcester, MA look for?

The top searched job categories for Biomedical Data Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Biomedical Data Engineer jobs?

Cities near Worcester, MA with the most Biomedical Data Engineer job openings:

Biomedical Data Engineer jobs near you

Staff AI/ML Engineer

Abbott

Westford, MA

$99K - $198K/yr

Full-time

Re-posted 11 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

175th of 542 rated manufacturers

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:
Position Overview
Abbott Vascular is seeking a Staff AI/ML Engineer to develop advanced machine learning solutions for optical coherence tomography (OCT)-based intravascular imaging systems. This role will focus on developing robust, clinically relevant algorithms to automatically identify and characterize key anatomical and interventional features. The successful candidate will translate cutting-edge AI research into scalable, high-performance solutions integrated into regulated medical device products. The role requires close collaboration with clinical, imaging, software, and systems engineering teams throughout the product development lifecycle.
Key Responsibilities
  • Design, develop and deploy machine learning and deep learning models for clinical applications including image segmentation, feature detection, classification and quantitative analysis of OCT images.
  • Lead the development of advanced semantic segmentation algorithms for OCT-based vascular imaging applications.
  • Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment.
  • Collaborate with clinical and V&V teams to define clinically meaningful outputs, evaluation metrics, and validation methodologies.
  • Develop algorithms capable of robust performance across diverse patient populations, imaging conditions, and clinical use cases.
  • Optimize models for real-time or near-real-time inference in embedded or product environments.
  • Evaluate and integrate state-of-the-art machine learning approaches, including foundation models, self-supervised learning, and generative AI techniques where appropriate.
  • Contribute to software architecture, code reviews, and engineering best practices to ensure scalable and maintainable AI solutions.
  • Generate technical documentation supporting design controls, verification, validation, risk management, and regulatory submissions.
Required Qualifications
  • Master's or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on AI/ML.
  • 7+ years of industry experience developing machine learning, deep learning, or computer vision solutions, or 4+ years of relevant industry experience with a PhD.
  • Strong expertise in deep learning architectures and modern machine learning approaches for image analysis, including convolutional neural networks and vision transformers
  • Proven experience developing semantic segmentation, object detection, classification, and image analysis algorithms.
  • Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or equivalent.
  • Experience designing experiments, evaluating model performance, and applying statistical methods for model validation.
  • Demonstrated ability to translate research concepts into prototype and production-quality software solutions.
  • Excellent communication and cross-functional communication skills.
Preferred Qualifications
  • Experience with OCT, IVUS, CT, MRI or other medical imaging modalities, including multi-modal image registration techniques.
  • Understanding of OCT imaging principles, image formation physics, and common imaging artifacts.
  • Experience developing AI/ML solutions for 3D volumetric, temporal, longitudinal or sequential imaging datasets.
  • Experience with foundation models, generative AI, self-supervised learning, multimodal learning, or other advanced AI approaches applied to medical imaging.
  • Expertise in model deployment and optimization for real-time or near-real-time inference using technologies such as ONNX, TensorRT, TorchScript, or equivalent frameworks.
  • Experience establishing scalable MLOps workflows, including data and model versioning, experiment tracking, continuous integration/deployment, and production ML pipelines.
  • Familiarity with medical device software development processes in regulated environments, including FDA regulations, design controls, V&V, and AI/ML-related FDA guidelines.
  • Demonstrated ability to translate research-grade algorithms into robust, production-ready solutions for clinical or commercial applications.

The base pay for this position is

$99,300.00 - $198,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Research and DiscoveryDIVISION:AVD VascularLOCATION:United States > Massachusetts > Westford : 4 Robbins RoadADDITIONAL LOCATIONS:United States > Santa Clara : Building A - SC, United States > Santa Clara : Building B - SCWORK SHIFT:StandardTRAVEL:Yes, 15 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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