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

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 ...

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 ...

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 ...

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 ...

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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 28, 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 cities near Boston, MA are hiring for Biomedical Data Engineer jobs? Cities near Boston, MA with the most Biomedical Data Engineer job openings:
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.

Machine Learning Scientist -- Agentic data pipelines

Iambic Therapeutics, Inc

Boston, MA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago


Job description

Job Summary

We are seeking a scientist to join our team at Iambic Therapeutics, working on data acquisition and curation for Enchant, our multimodal transformer model trained at scale on a wide variety of biomedical data. In this role, you will design and build agentic systems that acquire, clean, format, and quality-control the large-scale datasets that power Enchant training. You will work at the intersection of LLM-based automation and biomedical data engineering—developing AI agents that can navigate heterogeneous data sources, enforce quality standards, and operate reliably at scale.

This role is ideal for candidates who combine strong software engineering instincts with scientific understanding of biomedical data, and who are excited about using LLMs as tools to solve practical data problems.

Key Responsibilities

  • Design, build, and maintain agentic systems for automated data acquisition from public and proprietary biomedical data sources

  • Develop LLM-based pipelines for data cleaning, normalization, and formatting across diverse data modalities (e.g., molecular, genomic, clinical, literature)

  • Implement automated quality-control workflows that detect anomalies, flag inconsistencies, and enforce data standards

  • Evaluate and iterate on agent architectures, prompting strategies, and tool-use patterns to improve reliability and throughput

  • Collaborate with ML scientists on the Enchant team to understand data requirements and translate them into scalable acquisition and processing systems

  • Monitor and maintain data pipelines in production, diagnosing failures and improving robustness over time

  • Document data provenance, processing decisions, and quality metrics to support reproducibility and auditing

Qualifications

Required:

  • Master\'s or PhD in a computational STEM field, or equivalent industry experience

  • Strong Python engineering skills, including experience building and maintaining production-quality software

  • Hands-on experience with LLM APIs (e.g., Claude, GPT) and agentic patterns such as tool use, orchestration, and multi-step reasoning

  • Familiarity with biomedical or chemical data sources and formats (e.g., PDB, UniProt, ChEMBL, SDF/MOL, FASTA, or similar)

  • Comfort with data engineering fundamentals: ETL design, data validation, and working with structured and unstructured data at scale

Desired:

  • Experience with agent orchestration frameworks

  • Familiarity with cloud infrastructure and workflow orchestration (e.g., AWS, Docker, Kubernetes)

  • Knowledge of multimodal biomedical data—spanning small molecules, proteins, assays, images, ‘omics, and/or clinical records

  • Experience with large-scale dataset construction or curation for ML model training

Location

Remote (US or UK). On-site available in Bristol, UK and Boston, US.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.