Bioinformatics Jobs in Massachusetts
Bioinformatics jobs in Massachusetts represent one of the most active markets in the country, concentrated in life sciences research, pharmaceutical development, and academic medicine, with openings from entry-level research associates through senior computational scientists. The densest hiring is in the Boston and Cambridge metro, with additional demand in Worcester and the Route 128 corridor, where employers like the Broad Institute, Genentech, and Mass General Brigham consistently recruit bioinformatics professionals. The most in-demand specializations include genomics pipeline development, single-cell RNA sequencing analysis, and clinical bioinformatics. Find a role that fits below and apply directly.
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Showing 5 of 9+ Bioinformatics jobs
Summary
Location: Cambridge, MA
Job Description Summary
The Oncology Data Science (OncDS) team in Biomedical Research provides computational biology, AI, and data expertise and brings together projects spanning the entire pre-clinical to clinical development pipeline across a wide and unique range of novel therapeutics. OncDS specializes in using high-throughput genomic and biomarker data for target identification, drug discovery, and clinical development.
We are seeking a motivated and curious Scientific Data Engineer at the beginning of their professional data journey to support the development, maintenance, and modernization of FAIR oncology reference datasets. This role combines hands-on data curation with workflow automation, AI-enabled process improvement, dataset refresh and quality control, and fit-for-purpose data engineering to help ensure that key oncology data assets are reliable, reproducible, and ready for downstream scientific use.
This position will work closely with senior team members and cross-functional collaborators to modernize data curation processes, identify opportunities for AI-enabled automation, and contribute to high-value reference datasets that support Oncology-wide data strategy and FAIR data goals. The role is designed to build practical experience in scalable data practices, operational excellence, and automation-driven continuous improvement.
Why join us: This is an opportunity to work at the intersection of data engineering, computational biology, and oncology research, contributing to data assets that enable important scientific decisions across the drug discovery pipeline. You will join a collaborative team that values curiosity, learning, and continuous improvement, and you will have the chance to grow your technical and scientific skills while helping build reliable, scalable data foundations for cutting-edge oncology research.
About the Role
Key responsibilities:
- Work with senior team members to identify opportunities for simplification, automation, and continuous improvement in operational data processes, including modernization of data curation workflows
- Support the development and improvement of automated workflows for data processing, quality control, recurring dataset updates, and AI-enabled process improvement
- Collaborate with cross-functional teams to curate, maintain, and improve key oncology reference datasets, with an emphasis on quality, correctness, reproducibility, and operational reliability
- Contribute to reference dataset lifecycle management, including documentation, versioning, and traceable update processes
- Assess dataset structure, integrity, and fitness for downstream scientific use, including attention to identifiers, primary keys, missing values, consistency, and related data quality issues, and help resolve data issues in collaboration with relevant partners
- Contribute to best practices for reproducible workflows, data handling, and scalable dataset operations
- Help keep oncology reference datasets current, usable, and responsive to evolving scientific and organizational priorities
Essential Requirements:
- Degree in bioinformatics, computational biology, data science, computer science, or a related field, or equivalent relevant experience
- Experience working with omics datasets in a research environment
- Proficiency in one or more programming languages used in data science or bioinformatics, such as Python or R
- Experience with data wrangling, data quality control, and reproducible analysis workflows
- Familiarity with workflow automation and scripting for recurring data processing tasks
- Familiarity with database principles and sound data modeling practices, including normalization, primary keys, joins, and thoughtful handling of missing values and data integrity issues
- Knowledge of version control and Unix / Linux-based working environments
- Strong organizational skills and attention to detail, with a demonstrated interest in operational excellence
- Ability to learn quickly, manage multiple tasks, and work effectively in a collaborative environment
- Excellent written and verbal communication skills, and the ability to work effectively across technical and scientific teams
Desirable Requirements:
- Experience with oncology datasets, translational research data, or biomedical reference data resources
- Familiarity with FAIR data principles, metadata curation, or scientific data stewardship
- Experience maintaining reference datasets or supporting data products used by multiple stakeholders
- Experience collaborating with experimental scientists or lab-based partners
Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between $103,600 and $192,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and
experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published
salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the
role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and
disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Summary
Location: Cambridge, MA
Job Description Summary
The Oncology Data Science (OncDS) team in Biomedical Research provides computational biology, AI, and data expertise and brings together projects spanning the entire pre-clinical to clinical development pipeline across a wide and unique range of novel therapeutics. OncDS specializes in using high-throughput genomic and biomarker data for target identification, drug discovery, and clinical development.
We are seeking a motivated and curious Scientific Data Engineer at the beginning of their professional data journey to support the development, maintenance, and modernization of FAIR oncology reference datasets. This role combines hands-on data curation with workflow automation, AI-enabled process improvement, dataset refresh and quality control, and fit-for-purpose data engineering to help ensure that key oncology data assets are reliable, reproducible, and ready for downstream scientific use.
This position will work closely with senior team members and cross-functional collaborators to modernize data curation processes, identify opportunities for AI-enabled automation, and contribute to high-value reference datasets that support Oncology-wide data strategy and FAIR data goals. The role is designed to build practical experience in scalable data practices, operational excellence, and automation-driven continuous improvement.
Why join us: This is an opportunity to work at the intersection of data engineering, computational biology, and oncology research, contributing to data assets that enable important scientific decisions across the drug discovery pipeline. You will join a collaborative team that values curiosity, learning, and continuous improvement, and you will have the chance to grow your technical and scientific skills while helping build reliable, scalable data foundations for cutting-edge oncology research.
About the Role
Key responsibilities:
- Work with senior team members to identify opportunities for simplification, automation, and continuous improvement in operational data processes, including modernization of data curation workflows
- Support the development and improvement of automated workflows for data processing, quality control, recurring dataset updates, and AI-enabled process improvement
- Collaborate with cross-functional teams to curate, maintain, and improve key oncology reference datasets, with an emphasis on quality, correctness, reproducibility, and operational reliability
- Contribute to reference dataset lifecycle management, including documentation, versioning, and traceable update processes
- Assess dataset structure, integrity, and fitness for downstream scientific use, including attention to identifiers, primary keys, missing values, consistency, and related data quality issues, and help resolve data issues in collaboration with relevant partners
- Contribute to best practices for reproducible workflows, data handling, and scalable dataset operations
- Help keep oncology reference datasets current, usable, and responsive to evolving scientific and organizational priorities
Essential Requirements:
- Degree in bioinformatics, computational biology, data science, computer science, or a related field, or equivalent relevant experience
- Experience working with omics datasets in a research environment
- Proficiency in one or more programming languages used in data science or bioinformatics, such as Python or R
- Experience with data wrangling, data quality control, and reproducible analysis workflows
- Familiarity with workflow automation and scripting for recurring data processing tasks
- Familiarity with database principles and sound data modeling practices, including normalization, primary keys, joins, and thoughtful handling of missing values and data integrity issues
- Knowledge of version control and Unix / Linux-based working environments
- Strong organizational skills and attention to detail, with a demonstrated interest in operational excellence
- Ability to learn quickly, manage multiple tasks, and work effectively in a collaborative environment
- Excellent written and verbal communication skills, and the ability to work effectively across technical and scientific teams
Desirable Requirements:
- Experience with oncology datasets, translational research data, or biomedical reference data resources
- Familiarity with FAIR data principles, metadata curation, or scientific data stewardship
- Experience maintaining reference datasets or supporting data products used by multiple stakeholders
- Experience collaborating with experimental scientists or lab-based partners
Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between $103,600 and $192,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and
experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published
salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the
role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and
disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
See All 9 Bioinformatics Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Bioinformatics JobsBioinformatics Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Bioinformatics Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
What Massachusetts Employers Look For
The qualifications that appear most often in bioinformatics jobs across Massachusetts.
- Master's or PhD in bioinformatics, computational biology, or a closely related field
- Proficiency in Python, R, or Perl for biological data analysis and pipeline development
- Experience with next-generation sequencing tools such as GATK, STAR, or DESeq2
- Familiarity with high-performance computing environments and cloud platforms like AWS or Google Cloud
- Strong working knowledge of genomic databases including NCBI, Ensembl, and UCSC Genome Browser
- Ability to collaborate across wet-lab and computational teams in a research or clinical environment
Bioinformatics Jobs in Massachusetts: Frequently Asked Questions
How do you become a bioinformatics in Massachusetts?
Bioinformatics is not a state-licensed profession in Massachusetts, so there is no required board exam or registration. Most employers expect at least a master's degree in bioinformatics, computational biology, or a related quantitative field, with a PhD preferred for independent research roles. Candidates who build proficiency in genomics pipelines, statistical analysis, and scientific programming and who can point to published work or a strong project portfolio are best positioned to compete in Massachusetts's research-intensive hiring market.
How much do bioinformaticses make in Massachusetts?
Bioinformaticses in Massachusetts earn a median of about $107,100 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $69,500 for the lowest 10% to over $194,050 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire bioinformaticss in Massachusetts?
Employers hiring bioinformaticss in Massachusetts right now include Moderna, Novartis, and Merck KGaA, based on current listings on Migrate Mate as of August 2026. Massachusetts's concentration of biotech firms, academic medical centers, and large pharmaceutical companies means steady, recurring demand across both early-stage startups and well-established research institutions.
Which Massachusetts cities have the most bioinformatics jobs?
The cities with the most bioinformatics openings in Massachusetts are Boston, Cambridge, and Billerica. Boston and Cambridge dominate because of the Kendall Square biotech cluster, major academic medical centers, and flagship institutions like the Broad Institute and MIT, while Worcester draws demand from UMass Medical School and regional biopharma employers concentrated along the I-290 corridor.
Are there remote bioinformatics jobs in Massachusetts?
Yes, and more than most fields, since bioinformatics work is largely computational and does not require a physical lab bench. About 83% of bioinformatics openings tied to Massachusetts are remote or hybrid as of August 2026, reflecting the analytical nature of the role. Pipeline development, data interpretation, and software engineering tasks are the most consistently offered in remote or flexible arrangements.
How can I get hired as a bioinformatics in Massachusetts with little or no experience?
The most realistic entry path is a research associate or junior analyst role at a Massachusetts academic medical center or biotech startup, where a strong master's thesis project or graduate rotation can substitute for independent work experience. Institutions like the Broad Institute, Dana-Farber Cancer Institute, and UMass Medical School run postgraduate research programs that absorb new graduates. Candidates moving from adjacent roles such as computational chemistry, genomics lab technician, or data analyst in life sciences have a clear path in, especially with a demonstrable GitHub portfolio of bioinformatics pipelines.
Where can I find and apply to bioinformatics jobs in Massachusetts?
You can find and apply to bioinformatics jobs in Massachusetts on Migrate Mate, which lists current openings across the state. Find a role that fits and apply directly from the listing.
See All 9 Bioinformatics Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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