ZipRecruiter

Log In

1

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

Amaris Consulting

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams to ensure reliable data pipelines, investigate data integrity issues, and contribute to the ...

System One

Biomedical Engineer

Boston, MA · On-site

$60 - $74.50/hr

... data • Document work clearly, accurately, and with high quality following GDP • Manage work as part of overall team • Experience in establishing experimental protocols, conducting experiments ...

System One

Biomedical Engineer

Boston, MA · On-site

$60 - $74.50/hr

... data • Document work clearly, accurately, and with high quality following GDP • Manage work as part of overall team • Experience in establishing experimental protocols, conducting experiments ...

System One Holdings, LLC

Biomedical Engineer

Boston, MA · On-site

$64.97 - $74.50/hr

... data • Document work clearly, accurately, and with high quality following GDP • Manage work as part of overall team • Experience in establishing experimental protocols, conducting experiments ...

Nova Biomedical

Sr. Automation/Control Engineer

Waltham, MA · On-site

$113K - $148K/yr

Nova Biomedical is building its next generation of automation capabilities across multiple ... Own and execute connections between equipment and supervisory/data systems, including SCADA/AVEVA ...

next page

Showing results 1-20

All JobsBiomedical Data Engineer JobsBiomedical Data Engineer Jobs in Boston, MA

Biomedical Data Engineer information

See Boston, MA salary details

$17

$68

$95

How much do biomedical data engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for biomedical data engineer in Boston, MA is $68.42, according to ZipRecruiter salary data. Most workers in this role earn between $58.22 and $77.02 per hour, depending on experience, location, and employer.

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 Boston, MA? For Biomedical Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Boston, MA look for? The top searched job categories for Biomedical Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Biomedical Data Engineer jobs? Cities near Boston, MA with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $142,319 per year, or $68.4 per hour.

Senior Data Engineer

Amaris Consulting

Cambridge, MA • On-site

$115K - $157K/yr

Other

Posted 10 days ago

Job description

We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare data engineering, analytics, and AI-driven solutions. In this role, you will work with large-scale physiological, medical device, and electronic medical record (EMR) datasets to support data quality, predictive modeling, and advanced analytics initiatives.

You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams to ensure reliable data pipelines, investigate data integrity issues, and contribute to the development and validation of machine learning models.


Location

Cambridge, Massachusetts, USA (On-site)


Key Responsibilities

  • Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker.
  • Perform data wrangling by identifying missing data, time synchronization issues, anomalies, and measurement artifacts.
  • Transform and parse CSV and XML datasets into scalable databases such as InfluxDB.
  • Develop and maintain batch processing workflows using Python and Bash to inventory, process, and validate incoming device data.
  • Investigate data quality issues through Athena, SageMaker, and Jupyter Notebooks to identify problems related to data curation, system configuration, storage, or performance.
  • Troubleshoot data transfer and collection issues in collaboration with biomedical teams, IT stakeholders, and internal engineering teams.
  • Analyze physiological, vital sign, and EMR datasets to support predictive analytics and AI/ML model development.
  • Validate statistical and machine learning outputs by comparing Python-generated results with SAS analyses produced by biostatistics teams.
  • Simulate retrospective healthcare datasets using a Virtual Hospital Simulator to evaluate and test surveillance algorithms.
  • Contribute to continuous improvements in data engineering processes, data quality, and analytical workflows.


Required Qualifications

  • 7–10 years of experience in Data Engineering, Data Analytics, or a related technical field.
  • Strong proficiency in Python for data processing and automation.
  • Experience with AWS services, particularly Amazon S3, Athena, and SageMaker.
  • Experience working with Jupyter Notebooks.
  • Solid understanding of ETL processes, data transformation, and data validation.
  • Experience handling structured and semi-structured data formats, including CSV and XML.
  • Familiarity with batch scripting using Bash.
  • Strong analytical and troubleshooting skills with a focus on data quality and integrity.
  • Experience working with SQL and large datasets.
  • Excellent communication and collaboration skills in cross-functional environments.


Nice to Have

  • Experience with InfluxDB or other time-series databases.
  • Knowledge of AI/ML workflows and predictive analytics.
  • Experience working with physiological, medical device, or EMR data.
  • Familiarity with SAS and statistical validation processes.
  • Experience in the healthcare, medical technology, or life sciences industry.
  • Exposure to biomedical data analysis or clinical data environments.


Why choose us

  • An international community bringing together more than 110 different nationalities
  • An environment where trust is central: 70% of our leaders started their careers at the entry level
  • A strong training system with our internal Academy and more than 250 modules available
  • A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)


Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.


Apply