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Genomic Data Science Jobs (NOW HIRING)

$194K - $305K/yr

Cancer Genomics, Cancer Research, Computational Methods, Data Science, High Dimensional Data ... Analysis, Immuno-Oncology, Machine Learning (ML), Multimodal Analysis, Oncology, Real World Data ...

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Genomic Data Science information

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How much do genomic data science jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for genomic data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 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.

More about Genomic Data Science jobs
What cities are hiring for Genomic Data Science jobs? Cities with the most Genomic Data Science job openings:
What states have the most Genomic Data Science jobs? States with the most job openings for Genomic Data Science jobs include:
What job categories do people searching Genomic Data Science jobs look for? The top searched job categories for Genomic Data Science jobs are:
Infographic showing various Genomic Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Director, Data Governance and Contract Compliance, Regeneron Genetics Center (RGC)

Director, Data Governance and Contract Compliance, Regeneron Genetics Center (RGC)

Regeneron Pharmaceuticals, Inc.

Tarrytown, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

The Director, Data Governance and Contract Compliance lead and ensures compliance across a large portfolio of global data licensing collaborations involving genetic and associated health data. You will serve as RGC's internal resource on data privacy, genomic data governance, and cross-border data transfer; partnering with RGC counsel, research and technology teams, and the Privacy Office, to uphold the highest standards of data stewardship. You will develop and implement operational policies, procedures, and risk mitigation strategies that enable scientific collaboration, while safeguarding individual data rights worldwide.
In this role, a typical day might include the following:
  • Lead compliance across approximately 150 global data licensing collaborations related to genetic and associated health data, including ongoing monitoring, risk assessment, and remediation.
  • Partner with counsel to interpret and ensure compliance with international privacy regulations (GDPR, HIPAA, CCPA/CPRA), and genomic data governance frameworks (NIH Genomic Data Sharing Policy, GA4GH), in data collaboration agreements and research operations.
  • Drive the development and operationalization of RGC data governance policies, procedures, consent frameworks, and data use agreements specific to genetic and health data.
  • Lead all aspects of data security stewardship practices, evaluating and integrating emerging privacy-preserving technologies with the IT Security team.
  • Monitor the evolving global regulatory landscape for genetic data governance, advising leadership on compliance risks and policy adaptations.
  • Lead, mentor, and develop a team of data governance and compliance professionals; championing a culture of accountability, transparency, inclusion, and continuous learning.
  • Collaborate cross-functionally with Legal, IT Security, Research, and Business Development to embed privacy-by-design into data collaboration workflows and initiatives.

This job might be for you if you have:
  • Experience with GDPR, HIPAA, CCPA/CPRA, and other applicable privacy regulations.
  • Solid understanding of genomic data governance frameworks, including the NIH Genomic Data Sharing Policy and GA4GH standards.
  • Clear written and verbal communication skills, with the ability to relay complex regulatory requirements to scientific and executive audiences.
  • Validated experience building and leading high-performing compliance teams.
  • IRB experience. Familiarity with federated learning, and secure multi-party computation technologies is preferred.

In order to be considered for this role, you must have:
  • A PhD in Genetics, Genomics, Bioethics, Life Sciences, or a related field; or a relevant degree with experience in data governance and compliance.
  • An equivalent combination of advanced education and 10+ years of experience in data governance, compliance, or regulatory affairs; with at least 5 years focused on genetic or health data in research, biopharmaceutical, or biotech settings.
  • CIPP/E or CIPP/US certifications are strongly preferred.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about on-site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$183,100.00 - $305,200.00