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Scisco Genetics

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Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

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 ...

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How much do genomic scientist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for genomic scientist in the United States is $79,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $93,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Genomic Scientist, you need a solid background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree (MSc or PhD) in a relevant field. Familiarity with sequencing technologies, statistical analysis software (such as R or Python), and experience with genomic databases are crucial. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are vital for accurately interpreting complex genetic data, contributing to research advancements, and collaborating across multidisciplinary teams.

What types of teams and experts do Genomic Scientists typically collaborate with in their daily work?

Genomic Scientists regularly collaborate with multidisciplinary teams that may include bioinformaticians, molecular biologists, clinicians, and data analysts. This collaborative environment is essential for interpreting complex genetic data, designing experiments, and translating research findings into clinical or agricultural applications. Effective communication and teamwork are crucial, as projects often require input from various specialists to ensure the accuracy and relevance of results. Additionally, Genomic Scientists may participate in cross-departmental meetings to discuss project goals, troubleshoot challenges, and share advancements.

What is the difference between Genomic Scientist vs Molecular Biologist?

AspectGenomic ScientistMolecular Biologist
Required CredentialsBachelor's or Master's in Genetics, Genomics, or related field; PhD often preferredBachelor's or Master's in Biology, Molecular Biology, or related field; PhD common for research roles
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on genome analysisLaboratories, research institutions, healthcare settings studying molecular processes
Employer & Industry UsageBiotech firms, genomics companies, academic researchPharmaceutical companies, research labs, healthcare organizations

While both roles involve molecular techniques, Genomic Scientists specialize in genome analysis and sequencing, whereas Molecular Biologists focus on broader molecular processes. The roles often overlap, but Genomic Scientists typically work more with genomic data and bioinformatics tools.

What does a Genomic Scientist do?

A Genomic Scientist studies the structure, function, evolution, and mapping of genomes—the complete set of DNA within an organism. They use advanced technologies to analyze genetic information, identify genetic variations, and understand how genes influence health, disease, and development. Their work is essential in fields like personalized medicine, biotechnology, agriculture, and evolutionary biology. Genomic Scientists often collaborate with researchers, clinicians, and bioinformaticians to interpret large-scale genetic data and apply their findings to real-world problems.
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What cities are hiring for Genomic Scientist jobs? Cities with the most Genomic Scientist job openings:
Who are the top companies hiring for Genomic Scientist jobs? The top employers for Genomic Scientist jobs are:
What states have the most Genomic Scientist jobs? States with the most job openings for Genomic Scientist jobs include:
Genomic Scientist jobs near you
Infographic showing various Genomic Scientist job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 44% Full Time, 26% Part Time, 1% Temporary, 23% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $79,408 per year, or $38.2 per hour.
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 yesterday

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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.