1

Senior Genomic Data Analyst Jobs (NOW HIRING)

Be Seen First

The ideal candidate will have strong experience analyzing genomic sequence data and a deep interest in the genetic basis of human immune response. This role will focus on the analysis and ...

Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional: Raleigh ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Senior Genomic Sales Specialist

Raleigh, NC · On-site

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Senior Genomic Sales Specialist

Boston, MA · On-site

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional: Raleigh ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Senior Genomic Sales Specialist

Boston, MA · On-site

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Senior Genomic Sales Specialist

Carolina, RI · On-site

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

OR · On-site

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional ... Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must ...

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis Job Summary We are seeking a highly skilled and motivated Research Assistant Professor with expertise ...

$84K - $104K/yr

... for genomic data analysis, interpretation, and reporting. * Define the strategic roadmap for ... Serve as a senior bioinformatics partner to principal investigators, researchers, and collaborators ...

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 ...

next page

Showing results 1-20

Senior Genomic Data Analyst information

See salary details

$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:
Bioinformatics Scientist / Genomic Data Analyst

Bioinformatics Scientist / Genomic Data Analyst

Scisco Genetics

Seattle, WA • On-site

$95K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Job description

We are seeking a highly trained Bioinformatics Scientist with a PhD or equivalent research experience in bioinformatics, computational biology, genetics, genomics, immunology, or a closely related field. The ideal candidate will have strong experience analyzing genomic sequence data and a deep interest in the genetic basis of human immune response.

This role will focus on the analysis and interpretation of genomic, transcriptomic, and/or immune-related sequence datasets to help identify genetic variation, molecular pathways, and biological mechanisms associated with human immune function, immune response, disease susceptibility, vaccine response, inflammation, autoimmunity, infection, or related phenotypes.


Key Responsibilities

The selected candidate will:

  • Analyze high-throughput genomic sequence data, including whole-genome sequencing, whole-exome sequencing, targeted sequencing, and related datasets.
  • Develop, implement, and optimize bioinformatics pipelines for sequence data processing, quality control, variant calling, annotation, and downstream interpretation.
  • Investigate genetic contributors to human immune response, including HLA variation, immune receptor loci, cytokine pathways, host-pathogen response, or other immunogenetic features.
  • Integrate genomic data with clinical, phenotypic, immunological, or functional datasets.
  • Interpret results in a biologically meaningful context and communicate findings to interdisciplinary teams.
  • Prepare reports, figures, manuscripts, grant materials, or presentations summarizing analytical methods and scientific findings.
  • Collaborate with scientists, clinicians, computational biologists, immunologists, and other stakeholders.


Required Qualifications

  • PhD in bioinformatics, computational biology, human genetics, genomics, immunology, biostatistics, or a related discipline.
  • Demonstrated experience analyzing genomic sequence data.
  • Strong understanding of human genetics and genomic variation.
  • Familiarity with immune response genetics, immunogenomics, host-pathogen genetics, vaccine response genetics, autoimmunity, inflammatory disease, or related areas.
  • Proficiency in programming and data analysis using tools such as Python, R, Bash, Nextflow, Snakemake, or similar platforms.
  • Experience working in Linux/Unix computing environments and with high-performance computing or cloud-based analysis systems.
  • Familiarity with standard bioinformatics tools and file formats, such as FASTQ, BAM/CRAM, VCF, GTF/GFF, BED, BCFtools, GATK, PLINK, STAR, HISAT2, Salmon, Seurat, or related tools.
  • Ability to work independently, manage complex datasets, and document analytical workflows clearly.


Preferred Qualifications

  • Experience with HLA typing, immune repertoire sequencing, single-cell immune profiling, GWAS, eQTL analysis, or rare variant analysis.
  • Familiarity with population structure, ancestry inference, polygenic risk scores, or fine-mapping methods.
  • Prior publications or demonstrated research contributions in immunogenetics, infectious disease genetics, autoimmune disease genetics, cancer immunology, vaccine response, or related fields.
  • Experience with reproducible workflow development, containerization, Git-based version control, or cloud platforms such as AWS, Google Cloud, or Azure.


Desired Skills and Attributes

  • Strong analytical and problem-solving skills.
  • Excellent scientific communication skills.
  • Ability to collaborate across computational, biological, and clinical teams.
  • Careful attention to data quality, reproducibility, and documentation.
  • Intellectual curiosity and interest in the genetic determinants of human immune function.



Company Description

Scisco Genetics, a Seattle-based biotechnology company, specializes in next-generation sequencing (NGS) services and products for genotyping complex immune gene systems, including HLA, KIR, MICAB, FCGR, and IGHG. Founded and led by Dr. Daniel Geraghty, whose research at the Fred Hutchinson Cancer Research Center focuses on immune genetics, the company offers tools like the ScisGo product and Version 6 NGS HLA Typing Kit for high-resolution, accurate genotyping, supporting applications such as hematopoietic cell transplants and precision medicine.