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Senior Genomic Data Analyst Jobs (NOW HIRING)

Guardant Health

Staff Business Analyst

Palo Alto, CA · On-site

$142K - $195K/yr

Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes. • Product Partnership: Operate as part of the product and engineering team, owning the ...

Nationwide Children's Hospital

Analyzes genomic data to identify and interpret genetic variations, providing insights into disease diagnosis, treatment, and prevention. Essential Functions: * Analyzes and interprets genomic data ...

NYU Langone Health

Senior Data Analyst (PhD)

Manhattan, NY · On-site

$70K - $106K/yr

We have an exciting opportunity to join our team as a Senior Data Analyst (PhD). The laboratory of ... This role is well-suited for an individual with a PhD degree with diverse genomics expertise for at ...

NYULMC

Senior Data Analyst (PhD)

New York, NY · On-site

$70K - $106K/yr

We have an exciting opportunity to join our team as a Senior Data Analyst (PhD). The laboratory of ... This role is well-suited for an individual with a PhD degree with diverse genomics expertise for at ...

Baylor Genetics

Lead Bioinformatics AI Scientist

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

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Senior Genomic Data Analyst information

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$55K

$99.2K

$135.5K

How much do senior genomic data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for senior genomic data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

How do Senior Genomic Data Analysts typically collaborate with cross-functional teams in a research or clinical setting?

Senior Genomic Data Analysts frequently work alongside bioinformaticians, laboratory scientists, clinicians, and IT specialists to interpret and manage complex genomic datasets. Collaboration often involves leading discussions to define project goals, ensuring data quality, and translating analytical results into actionable insights for research or patient care. Effective communication and the ability to present complex findings in a clear manner are critical, as these analysts bridge the gap between raw data and practical applications. Regular meetings, joint problem-solving sessions, and shared project management tools are common ways this collaboration is structured.

What are the key skills and qualifications needed to thrive as a Senior Genomic Data Analyst, and why are they important?

A Senior Genomic Data Analyst requires advanced expertise in bioinformatics, genomics, and statistical analysis, typically supported by a master's or PhD in a relevant field. Proficiency with tools such as Python, R, next-generation sequencing (NGS) data analysis platforms, and experience with databases like Ensembl or UCSC Genome Browser is essential. Strong problem-solving, communication, and collaborative skills help translate complex genomic findings into actionable insights for research or clinical teams. These competencies are crucial for ensuring accurate data interpretation, effective collaboration, and meaningful contributions to advances in genomics.

What is a Senior Genomic Data Analyst?

A Senior Genomic Data Analyst is a professional who specializes in analyzing and interpreting large-scale genomic data sets, often using advanced computational and statistical methods. They play a key role in biomedical research, healthcare, and biotechnology by identifying genetic patterns, variants, and potential disease associations. In this senior role, they may also guide research strategies, develop analytic pipelines, and collaborate with interdisciplinary teams to drive scientific discoveries. Their expertise helps advance our understanding of genetics and supports the development of personalized medicine.

What is the difference between Senior Genomic Data Analyst vs Genomic Data Analyst?

AspectSenior Genomic Data AnalystGenomic Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Genetics, or related field; experience in data analysisBachelor's degree in related field; entry-level experience preferred
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch projects, data management, laboratory settings
Employer & Industry UsagePharmaceuticals, biotech, academic researchGenomics labs, research institutions, healthcare providers
Common Search & ComparisonOften compared for experience level and responsibilitiesEntry-level counterpart, less responsibility

The main difference between a Senior Genomic Data Analyst and a Genomic Data Analyst lies in experience, responsibilities, and expertise. Senior analysts typically have more advanced skills, oversee complex projects, and provide mentorship, whereas Genomic Data Analysts are often entry-level or early-career professionals focusing on data processing and analysis tasks.

What cities are hiring for Senior Genomic Data Analyst jobs? Cities with the most Senior Genomic Data Analyst job openings:
What are the most commonly searched types of Genomic Data Analyst jobs? The most popular types of Genomic Data Analyst jobs are:
What states have the most Senior Genomic Data Analyst jobs? States with the most job openings for Senior Genomic Data Analyst jobs include:
Senior Genomic Data Analyst jobs near you
Student Rsch. Intern - Data-Genomics-CR

Student Rsch. Intern - Data-Genomics-CR

Apidel Technologies

Newport Beach, CA

Internship

Posted 8 days ago

Job description

Duties:
The Student Researcher Intern will participate in a structured research project within the Family Cancer Institute.
This role is designed for highly motivated students interested in biomedical research, genetics, genomics, data analysis, and clinical/translational research.
The intern is expected to take ownership of a defined research project, analyze and interpret data, and contribute to a timeline driven outcome culminating in an abstract and manuscript suitable for publication.
Work under faculty and research staff mentorship to design and execute a defined research project.
Perform data collection, cleaning, analysis, and visualization using clinical, genomic, or translational datasets.
Assist with genomic data review (e.g., sequencing results, variant interpretation, molecular profiling summaries) as applicable to the project.
Conduct literature reviews and synthesize scientific findings to support research hypotheses and interpretation.
Apply basic statistical and analytical methods to answer research questions.
Maintain accurate documentation of methods, analyses, and results.
Prepare figures, tables, and written summaries of findings.
Actively participate in research meetings, project updates, and presentations.
Contribute significantly to the drafting of an abstract and/or manuscript with the goal of submission to a scientific journal or conference by the end of the internship.
Skills:
Required Skills & Experience:
Strong interest in biomedical, clinical, translational, or genomics research.
Ability to work independently with a high level of responsibility and follow projects through to completion.
Strong analytical, problem solving, and organizational skills.
Excellent scientific writing and presentation skills with attention to detail.
Proficiency in Microsoft Word, Excel, and PowerPoint.
Ability to work collaboratively in a multidisciplinary research environment.
Preferred Skills & Experience:
Experience with literature searches, reference management, or academic writing.
Prior data analysis, research methods, or laboratory/clinical research exposure.
Familiarity with genomics, bioinformatics concepts, electronic medical records, or research datasets.
Basic knowledge of statistics, R, Python, SPSS, or similar analytical tools (helpful but not required).
Education:
Required Education:
Must be at least a junior in college or a recent graduate with coursework in biology, bioinformatics, data science, public health, computer science, or a related field.
Preferred Education:
N/A
Required Certification & Licensure:
N/A
Preferred Certification & Licensure:
N/A

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About Apidel Technologies

Sourced by ZipRecruiter

We understand that attracting, qualifying, placing, and retaining the best candidates for our clients requires exceptional talent. That’s why our highly skilled and dedicated recruitment team works tirelessly to develop lifelong associations with all candidates and clients. We prioritize helping our employees achieve their career goals while providing effective staffing solutions to our clients and candidates. At Apidel, we believe in simple yet established core values that are ingrained within each member of our team. These values are time and again illustrated in our approach to employees, candidates, and clients. Our unwavering belief that our core values of integrity, client satisfaction, innovation, and intellect distinguish us from our competitors is what drives us forward. We remain focused on improving and sustaining a measurable client satisfaction program that has created an organizational culture where our associates provide world-class service every day.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Plainfield, IL, US

Year founded

2012

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