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Genomic Data Science Jobs in Boston, MA (NOW HIRING)

Harvard University

Genomic Data Curator

Boston, MA · On-site

$57/hr

The Harvard Medical School Department of Biomedical Informatics seeks a skilled Genomic Data ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related ...

Harvard University

Genomic Data Curator

Boston, MA · Hybrid

The Harvard Medical School Department of Biomedical Informatics seeks a skilled Genomic Data ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related ...

AstraZeneca

Scientist, Data Science

Waltham, MA

The successful candidate will leverage their data science expertise in mining large datasets to ... Genomics Foundation: Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation ...

New

Novartis

Director Oncology Data Science LMW

Cambridge, MA · On-site

$194K - $361K/yr

Play a leading role in matrix teams such as Translational Data Science Clusters around disease areas or teams centered around key technologies such as genomics, proteomics, spatial technologies etc.

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Genomic Data Science information

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How much do genomic data science jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for genomic data science in Boston, MA is $61.72, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $73.12 per hour, depending on experience, location, and employer.

How does a genomic data scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

What are the key skills and qualifications needed to thrive as a genomic data scientist, and why are they important?

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

What are popular job titles related to Genomic Data Science jobs in Boston, MA? For Genomic Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Genomic Data Science jobs in Boston, MA look for? The top searched job categories for Genomic Data Science jobs in Boston, MA are:
Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,381 per year, or $61.7 per hour.

Genomic Data Curator

Harvard University

Boston, MA • On-site

$57/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard Medical School?
Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.
You'll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it's an opportunity to shape the future of medicine.
Job Description
The Harvard Medical School Department of Biomedical Informatics seeks a skilled Genomic Data Curator to join our team within the Somatic Mosaicism across Human Tissues (SMaHT) Data Analysis Center. The Park Lab is a bioinformatics research group in the Department of Biomedical Informatics at Harvard Medical School.
Our main aim is to understand the genetic and epigenetic mechanisms that underlie disease processes through computational and statistical analysis of genomic data. We are particularly interested in mutational processes in normal and cancer cells and their impact in gene regulation.
The successful candidate will manage, harmonize, and standardize datasets mapping genetic variations across human tissues.
Key Responsibilities:
  • Data Harmonization: Clean, transform, and map diverse genomic and clinical datasets into unified standard formats.
  • Metadata Enrichment: Author and apply standard biological ontologies and rigorous metadata labels to dataset submissions.
  • Pipeline Management: Build and maintain reproducible data wrangling pipelines to handle high-throughput sequencing data.
  • Quality Control: Design and execute data validation checks to identify anomalies and protect data integrity.
  • Portal Integration: Collaborate with software engineers to push validated datasets to the public SMaHT Data Portal.

Qualifications
Basic Qualifications:
  • Minimum of two years' post-secondary education or relevant work experience.

Additional Qualifications and Skills:
  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related field- strongly preferred.
  • 1-3 years of hands-on experience in bioinformatics or a related field.
  • Proficiency in Python for data manipulation and scripting.
  • Proficiency in coding.
  • Strong attention to detail.

Additional Information
  • Term: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
  • Standard Hours/Schedule: 35 hours per week
  • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
  • Pre-Employment Screening: Identity
  • Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.

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Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 057. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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