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Genomic Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Conduct analysis and interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types. * Work independently with research groups to develop, implement ...

Integrate and analyze diverse genomic and multi-omicdatasets, including sequencing and public data sources. * Install, configure, and support scientific software across computing platforms; ensure ...

Strong quantitative and analytical skills with the ability to interpret complex experimental data (R, Python, genomics data experience) * Excellent written and verbal communication skills and a ...

Strong quantitative and analytical skills with the ability to interpret complex experimental data (R, Python, genomics data experience) * Excellent written and verbal communication skills and a ...

Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series * Strong programming in R and/or Python; best practices in reproducible research * Excellent ...

Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series * Strong programming in R and/or Python; best practices in reproducible research * Excellent ...

Familiarity or direct experience with analysis of 10x Genomics data sets using cell ranger pipeline and additional analysis tools is desired. Must have writing experience; manuscript, grant and/or ...

Chemist

Cary, NC ยท On-site

... genomics-driven discovery. They focus on delivering life-changing advances for individuals with ... Review external analytical data for accuracy, completeness, and GMP compliance * Support internal ...

Familiarity or direct experience with analysis of 10x Genomics data sets using cell ranger pipeline and additional analysis tools is desired. Must have writing experience; manuscript, grant and/or ...

Senior Data Engineer

Durham, NC ยท On-site

$114K - $163K/yr

Support an analytical data infrastructure providing application, tool and ad-hoc access to large datasets consisting of complex data types such as genomic, phenotypic, environmental, image and ...

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Genomic Data Analyst information

See Raleigh, NC salary details

$31.8K

$77.2K

$127K

How much do genomic data analyst jobs pay per year?

As of Jul 4, 2026, the average yearly pay for genomic data analyst in Raleigh, NC is $77,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 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.

Is 40 too late for data science?

For a genomic data analyst, age is not a barrier to entering data science, as skills in programming, statistics, and domain knowledge are more important. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like Python, R, and machine learning techniques are key regardless of age.

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 studies genetic data to identify variations and patterns that can inform research or clinical decisions. They analyze DNA sequences using bioinformatics tools, interpret results, and often work with large datasets in laboratory or computational environments. Strong skills in genetics, programming, and data analysis are essential for this role.

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 a master's degree or higher for advanced roles. Skills in programming languages such as Python or R, experience with genomic databases, and familiarity with bioinformatics tools are essential. Gaining practical experience through internships or research projects can also improve job prospects.

What is the salary of genomic data analyst?

The average salary for a genomic data analyst in the United States ranges from $70,000 to $100,000 per year, depending on experience, education, and location. Entry-level positions typically start around $60,000, while experienced analysts with advanced skills in bioinformatics and data analysis tools can earn over $110,000 annually.
What cities near Raleigh, NC are hiring for Genomic Data Analyst jobs? Cities near Raleigh, NC with the most Genomic Data Analyst job openings:
Infographic showing various Genomic Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $77,173 per year, or $37.1 per hour.
Bioinformatics Research Associate III - Genom

Bioinformatics Research Associate III - Genom

Epicypher Inc

Durham, NC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

About the Role:

The Bioinformatics Research Associate III is a key driver of commercial success, working with a Genomics Research Scientist to perform routine and custom bioinformatics analyses for commissioned Service projects. The Research Associate leads and executes advanced computational analyses through the application of genomics tools, approaches, and expertise to support the customerโ€™s goals and the success of the Services team. The role serves as a technical resource and cross-team collaborator, contributing to complex projects from analysis design to data delivery.


Key Responsibilities:

  • Lead the application of short-read and long-read sequencing analysis pipelines for our suite of genomic approaches (CUT&RUN, CUT&Tag, Fiber-seq, etc) used in Services projects, ensuring robustness, reproducibility, and comprehensive documentation

  • Design and implement custom analyses and data visualizations to answer the customerโ€™s biological questions of interest, leveraging relevant datasets to support success.

  • Create slide decks summarizing the study design, computational approaches, quality control checks, and results for each project.

  • Act as the Genomics representative on customer-facing data delivery calls

  • Manage and prioritize multiple bioinformatics workflows in alignment with data delivery deadlines

  • Proactively identify analytical needs and technical challenges, develop strategies to resolve them, and communicate progress and outcomes to key stakeholders, including the Genomics Team, Services Project Managers, and senior leadership.

  • Independently curate and maintain rigorous documentation of workflows, algorithms, and results, adhering to company standards and ensuring reproducibility and compliance.

  • Propose new computational approaches and contribute to experimental design, including hypothesis generation, troubleshooting, and refinement of assay performance.

  • Develop hypotheses, troubleshooting strategies, and future opportunities independently, with limited guidance from a Research Scientist.

  • Actively participate in team meetings and cross-functional teams, integrating R&D, Services, commercial, and executive stakeholder feedback to drive project outcomes.

  • Stay current with emerging technologies and tools in bioinformatics, incorporating new methodologies where appropriate to maintain a competitive edge.

  • Other Research Associate-related duties and projects as required.

  • Prepares effective presentations for lab meetings and external communications, organizing content with goal-oriented logic flows, providing clear and precise introductions, using graphic illustrations for complex explanations, designing impactful figures, and adapting presentation pace to engage the audience effectively.

  • Take the lead in guiding and mentoring new and/or more junior Research Associates in analytical methods, coding best practices, project management, and experimental design.

  • Professionally communicate data, insights, and scientific rationale professionally and confidentially, with precision and clarity across written, verbal, and collaborative contexts.

  • Models company values through integrity and a high standard of performance and professionalism in daily responsibilities and team interactions.

  • Consistently demonstrates reliability through timely execution, proactive communication, and support of team workflows and shared goals.

  • Openly accepts feedback, responds constructively, and adjusts to support continuous improvement.


Credentials and Experience:

  • BS or MS in Bioinformatics, Computational Biology, Genetics, Molecular Biology, or related field.

  • Minimum of five years of bioinformatic experience.

  • Prior experience in a commercial lab setting is preferred.


Knowledge and Skills:

  • Advanced proficiency in Next Generation Sequencing data analysis experience (Linux OS/Python), including bioinformatic tools and techniques

  • Strong understanding of biological data interpretation, statistical analysis, and visualization

  • Effective scientific communication with wet- and dry-lab scientists

  • Adaptable and flexible to shifting priorities

  • Ability to work towards specific goals under minimal supervision.

  • Ability to gain working knowledge in new fields.

  • Ability to consistently meet deadlines in an organized manner.

  • Ability to work in a fast-paced environment.

  • Excellent critical thinking and troubleshooting skills.

  • Works equally well independently and as part of a team.


Preferred Knowledge and Skills:

  • Experience with long-read NGS pipelines

  • Experience with building custom visualizations

  • Experience with AWS data management and transfer

  • Demonstrated ability to independently drive complex projects and collaborate across teams.


Compensation & Benefits:

  • Competitive salary commensurate with experience.

  • Generous benefits package includes subsidized Health, Dental, and Vision Insurances

  • Company-sponsored Life & AD&D Insurance, Long-Term Disability, and Short-Term Disability

  • Paid vacation and sick leave

  • Paid parental Leave

  • Company paid holidays, plus 2 floating holidays and 1 mental health day

  • 401(k) plan with company match

  • Professional development reimbursement

  • Company stock options


Travel Requirements:

Up to 5% of the time.


Direct Reports:

None


Physical Demands:

While performing the duties of the Research Associate position, the employee must be able to remain stationary for prolonged periods and move about within the office and lab. The employee must be able to operate a computer and the necessary lab equipment. The employee must be able to position themselves to move objects weighing up to 10 pounds throughout the workday.


This document does not state or imply that the above duties are the only duties to be performed by the employee in this position. Requirements represent minimum levels of knowledge, skills, and/or abilities and may change at any time, with or without notice. This document does not create an employment contract, implied or otherwise.


About EpiCypher:

EpiCypherโ€™s mission is to lead the epigenetics field in developing high-quality products and services that accelerate chromatin science to improve and extend human life. In this mission, we hold our core values in high regard: mutual respect, fairness, commitment to excellence, customer success, scientific advancement, effective communication, integrity, and teamwork.


EpiCypher is committed to providing a work environment that is free from all forms of harassment, discrimination, and inequality. We provide equal employment opportunities to all employees and applications for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.