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Senior Genomic Data Analyst Jobs (NOW HIRING)

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 ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative ...

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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 Jul 4, 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
Bioinformatics Analyst II - Lung Regeneration Research

Bioinformatics Analyst II - Lung Regeneration Research

Nationwide Children's Hospital

Full-time

Posted 11 days ago

Nationwide Children's Hospital rating

6.9

Company rating: 6.9 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

523rd of 1,004 rated hospitals

Job description

Overview:


Seeking a bioinformatics Analyst with strong spatial transcriptomics, scRNA-seq and Visium HD expertise to analyze single-cell and spatial data, support lab training, and advance lung regeneration research.

At least 3 years of full-time experience required after degree.


Job Description Summary:


Analyzes genomic data to identify and interpret genetic variations, providing insights into disease diagnosis, treatment, and prevention.


Job Description:


Essential Functions:

  • Analyzes and interprets genomic data to identify potential disease-causing mutations or genetic variations.
  • Develops and implements bioinformatics pipelines and workflows for genomic data analysis.
  • Collaborates with research teams to design experiments, analyze data, and interpret and understand results.
  • Maintains and updates genomic databases and software tools.
  • Participates in requirement gathering. Communicates findings, results, and collaborative work to stakeholders and broader audiences in a clear and concise manner.
  • Stays up-to-date with the latest developments in bioinformatics and genomics research.

Education Requirement:

  • Bachelor's degree in biology, molecular genetics, computer science, bioinformatics, or related field, required.
  • M.S degree in Bioinformatics, Computational Biology, Biostatistics, or a related discipline, preferred.

Skills:

  • Superior attention to detail and adherence to quality standards.
  • Experience in genomics and bioinformatics, and willingness to learn concepts and terminology as needed.
  • Excellent verbal and written communication skills will be essential.
  • Ability to manage multiple projects in a fast-paced environment with changing priorities.
  • Ability to effectively collaborate in a dynamic, cross-functional matrix environment.

Experience:

  • 3 years of experience practicing bioinformatics or computational biology in genomics or a related field, required.
  • Experience in a Linux/Unix environment and familiarity with scripting and process automation (Python/Perl, shell), required.

Physical Requirements:

OCCASIONALLY: Standing, Walking

FREQUENTLY: Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs

CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Repetitive hand/arm use, Seeing - Far/near, Sitting



"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"

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About Nationwide Children's Hospital

Sourced by ZipRecruiter

Nationwide Children's Hospital, established in 1894, is a leading pediatric healthcare system based in Columbus, Ohio, United States. They serve as a primary pediatric network, providing wellness, preventive, diagnostic, treatment, and rehabilitative care for infants, children, adolescents, and adults with congenital disease. Being the third-largest pediatric hospital in the nation, Nationwide Children's Hospital prides itself on its relentless commitment to children and their families, driven by their core values of respect, integrity, determination, empathy, and solidarity. The institution's comprehensive mission is to enhance the health of children by providing high-quality, family-centered care, conducting groundbreaking research, advocating for pediatric health, and training top healthcare professionals.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Columbus, OH, US

Year founded

1892

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