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Genomic Data Science Jobs (NOW HIRING)

Senior Scientist

Menlo Park, CA · On-site

$107.80K - $147.30K/yr

This role sits at the intersection of AI, genomics, oncology research, and clinical data science . The scientist will develop models and analytical approaches that transform genomic and clinical data ...

Senior Scientist, Oncology

Menlo Park, CA · On-site

$107.80K - $147.30K/yr

This role sits at the intersection of AI, genomics, oncology research, and clinical data science . The scientist will develop models and analytical approaches that transform genomic and clinical 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 Jun 4, 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.

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.

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 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 May 2026, with employment types broken down into 100% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% 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

Tarrytown, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 71 rated pharmaceutical


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 have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.

For other countries' specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron's roles are required to be performed on-site.

Please speak with your recruiter and hiring manager for more information about Regeneron's on-site policy and expectations for your role and your location. 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, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency.

If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted.

The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $183,100.00 - $305,200.00


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