Required : • Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. • Minimum 10 years of hands-on experience ...
Required : • Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. • Minimum 10 years of hands-on experience ...
Clinical Data Engineering Lead
$176K - $327K/yr
Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. * Minimum 10 years of hands-on experience architecting and ...
Clinical Data Engineering Lead
$176K - $327K/yr
Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. * Minimum 10 years of hands-on experience architecting and ...
Clinical Data Engineering Lead
Cambridge, MA · On-site
$176K - $327K/yr
Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. * Minimum 10 years of hands-on experience architecting and ...
Clinical Data Engineering Lead
Cambridge, MA · On-site
$176K - $327K/yr
Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. * Minimum 10 years of hands-on experience architecting and ...
The future of biology is in big data analysis, and we are on a mission to accelerate digital drug ... We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are ...
The future of biology is in big data analysis, and we are on a mission to accelerate digital drug ... We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are ...
The future of biology is in big data analysis, and we are on a mission to accelerate digital drug ... We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are ...
The future of biology is in big data analysis, and we are on a mission to accelerate digital drug ... We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are ...
Software Engineer
Boston, MA · On-site
Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform. We have attracted some of the best bioinformatics, engineering, and ...
Software Engineer
Boston, MA · On-site
Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform. We have attracted some of the best bioinformatics, engineering, and ...
Data Engineer or Senior Data Engineer, Research Informatics
Watertown, MA · On-site
$115K - $215K/yr
Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Chemistry, Biology, or related STEM field * Data Engineer: 5+ years | Senior Data Engineer: 8+ ...
Data Engineer or Senior Data Engineer, Research Informatics
Watertown, MA · On-site
$115K - $215K/yr
Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Chemistry, Biology, or related STEM field * Data Engineer: 5+ years | Senior Data Engineer: 8+ ...
Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Chemistry, Biology, or related STEM field * Data Engineer: 5+ years | Senior Data Engineer: 8+ ...
Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Chemistry, Biology, or related STEM field * Data Engineer: 5+ years | Senior Data Engineer: 8+ ...
Bioinformatics Software Engineer
Boston, MA · On-site
$57/hr
Develop software and data services with researchers to ensure that modern standards of reproducible ... We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing ...
Bioinformatics Software Engineer
Boston, MA · On-site
$57/hr
Develop software and data services with researchers to ensure that modern standards of reproducible ... We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing ...
Bioinformatics Software Engineer
Boston, MA · On-site +1
Develop software and data services with researchers to ensure that modern standards of reproducible ... We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing ...
Bioinformatics Software Engineer
Boston, MA · On-site +1
Develop software and data services with researchers to ensure that modern standards of reproducible ... We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing ...
Bioinformatics Engineer
Boston, MA · On-site
$75K - $81K/yr
... Bioinformatics Engineer to join its Data Management team, supporting high-impact research ... The successful candidate will work at the intersection of biology, data science, engineering, and ...
Bioinformatics Engineer
Boston, MA · On-site
$75K - $81K/yr
... Bioinformatics Engineer to join its Data Management team, supporting high-impact research ... The successful candidate will work at the intersection of biology, data science, engineering, and ...
Data Engineer - Computational Biology (Senior Associate)
Cambridge, MA · On-site
$82K - $137K/yr
POSITION SUMMARY You will apply strong bioinformatics and cloud engineering practices to develop, operationalize and evolve production bioinformatics pipelines to deliver reliable data products for ...
Data Engineer - Computational Biology (Senior Associate)
Cambridge, MA · On-site
$82K - $137K/yr
POSITION SUMMARY You will apply strong bioinformatics and cloud engineering practices to develop, operationalize and evolve production bioinformatics pipelines to deliver reliable data products for ...
POSITION SUMMARY You will apply strong bioinformatics and cloud engineering practices to develop, operationalize and evolve production bioinformatics pipelines to deliver reliable data products for ...
POSITION SUMMARY You will apply strong bioinformatics and cloud engineering practices to develop, operationalize and evolve production bioinformatics pipelines to deliver reliable data products for ...
... data-driven processes, and emerging Generative AI-enabled solutions to improve operational ... Collaborate closely with bioinformatics and software engineering teams to design, develop, and ...
... data-driven processes, and emerging Generative AI-enabled solutions to improve operational ... Collaborate closely with bioinformatics and software engineering teams to design, develop, and ...
Lead Bioinformatics Engineer (Hybrid)
Marlborough, MA · On-site
$155K/yr
Experience with sequencing data analysis, bioinformatics, variant data analysis. * Knowledge of ... Programming Languages: Python, javascript/typescript, R, etc. * Containerizing: Docker * Web ...
Lead Bioinformatics Engineer (Hybrid)
Marlborough, MA · On-site
$155K/yr
Experience with sequencing data analysis, bioinformatics, variant data analysis. * Knowledge of ... Programming Languages: Python, javascript/typescript, R, etc. * Containerizing: Docker * Web ...
... data-driven processes, and emerging Generative AI-enabled solutions to improve operational ... Collaborate closely with bioinformatics and software engineering teams to design, develop, and ...
... data-driven processes, and emerging Generative AI-enabled solutions to improve operational ... Collaborate closely with bioinformatics and software engineering teams to design, develop, and ...
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Quick apply
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Quick apply
Bioinformatics Scientist
Boston, MA · On-site
$170K - $190K/yr
Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...
Bioinformatics Data Engineer information
See Boston, MA salary details
$46.7K - $66K
6% of jobs
$66K - $85.3K
6% of jobs
$101.2K is the 25th percentile. Wages below this are outliers.
$85.3K - $104.6K
15% of jobs
$104.6K - $123.9K
11% of jobs
The median wage is $137.2K / yr.
$123.9K - $143.3K
17% of jobs
$143.3K - $162.6K
13% of jobs
$169.5K is the 75th percentile. Wages above this are outliers.
$162.6K - $181.9K
19% of jobs
$181.9K - $201.2K
10% of jobs
$201.2K - $220.5K
3% of jobs
$220.5K - $239.8K
0% of jobs
$239.8K - $259.1K
0% of jobs
$46.7K
$142.4K
$259.1K
How much do bioinformatics data engineer jobs pay per year?
As of Jul 19, 2026, the average yearly pay for bioinformatics data engineer in Boston, MA is $142,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $170,600.00 per year, depending on experience, location, and employer.
How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?
Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.
What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?
| Aspect | Bioinformatics Data Engineer | Bioinformatics Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills | Bachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills |
| Work Environment | Data pipelines, database management, software development | Data interpretation, report generation, biological data analysis |
| Employer & Industry Usage | Biotech companies, research labs, pharma | Research institutions, healthcare, biotech |
| Common Search & Comparison | Focuses on data infrastructure and pipelines | Focuses on biological data interpretation |
The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.
What is a Bioinformatics Data Engineer?
A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.
What are the key skills and qualifications needed to thrive as a Bioinformatics Data Engineer, and why are they important?
To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Boston, MA? For Bioinformatics Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Boston, MA look for? The top searched job categories for Bioinformatics Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Bioinformatics Data Engineer jobs? Cities near Boston, MA with the most Bioinformatics Data Engineer job openings:
Novartis rating
7.5
Based on 9 frontline employees who took The Breakroom Quiz
55th of 74 rated pharmaceutical
Job description
Job Summary:
Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you’ll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research.
Responsibilities:
• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.
Qualifications:
Required:
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.
Preferred:
• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.
Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you’ll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research.
Responsibilities:
• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.
Qualifications:
Required:
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.
Preferred:
• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.