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Genomic Data Analyst Jobs (NOW HIRING)

Honorhealth

$84K - $104K/yr

... genomic data analysis, interpretation, and reporting. * Define the strategic roadmap for clinical genomics informatics platforms, pipelines, and analytical capabilities. * Establish standards, best ...

Nationwide Children's Hospital

Analyzes and interprets genomic data to identify genetic variants that may contribute to disease ... Strong analytical skills and ability to critically read and interpret data from scientific ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

IBX

Bioinformatician III

Piscataway, NJ · On-site

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

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Genomic Data Analyst information

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$34K

$82.6K

$136K

How much do genomic data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for genomic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Genomic Data Analyst position, and why are they important?

To thrive as a Genomic Data Analyst, you need strong skills in bioinformatics, statistical analysis, and a background in genetics or a related field, usually supported by a degree in biology, data science, or computational science. Familiarity with tools like R, Python, UNIX/Linux systems, and genomic databases, as well as experience with next-generation sequencing (NGS) data analysis pipelines, are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data accurately and explain findings to interdisciplinary teams. These skills are crucial for translating complex genomic datasets into actionable insights that inform research and clinical decisions.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and healthcare tend to have the highest salaries, especially those with expertise in advanced analytics, machine learning, and programming skills. Specializations such as financial modeling or working with big data tools like SQL, Python, or R can also increase earning potential.

How much does a genome analyst earn?

A genomic data analyst typically earns between $60,000 and $100,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries.

What are the typical daily responsibilities of a Genomic Data Analyst?

As a Genomic Data Analyst, your typical day involves processing and analyzing large-scale genomic datasets using specialized software and scripting languages to identify genetic variations or patterns. You might collaborate with laboratory scientists, clinicians, and other data professionals to design studies, interpret results, and ensure data accuracy. Tasks often include creating data visualizations, generating detailed reports, and troubleshooting technical issues in bioinformatics pipelines. This role requires a balance of independent data analysis work and teamwork to drive research or clinical projects forward.

What does a genomic analyst do?

A genomic analyst interprets and analyzes genetic data obtained from sequencing technologies to identify genetic variations, mutations, and patterns. They use bioinformatics tools and programming skills to process large datasets, often working in research or clinical laboratories to support genetic research, diagnostics, or personalized medicine.

What is a Genomic Data Analyst job?

A Genomic Data Analyst interprets and analyzes large-scale genomic data to derive meaningful biological insights. They work with datasets from DNA sequencing, gene expression studies, and other genomic technologies to identify patterns, mutations, or associations related to health and disease. Using bioinformatics tools, programming languages like Python or R, and statistical techniques, they help researchers, healthcare professionals, and biopharmaceutical companies make data-driven decisions. Their role is essential in fields such as precision medicine, drug discovery, and genetic research.

How to become a genomic data analyst?

To become a genomic data analyst, typically a bachelor's degree in biology, genetics, bioinformatics, or a related field is required, often supplemented by skills in programming languages like Python or R and experience with genomic analysis tools. Advanced roles may require a master's or Ph.D. and knowledge of statistical methods, data management, and laboratory techniques. Gaining experience through internships or projects and obtaining certifications in bioinformatics can also enhance job prospects.
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Genomic Data Analyst jobs near you
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

Posted 20 days ago

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 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

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