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Temporary Genomic Data Analyst Jobs (NOW HIRING)

Scisco Genetics

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Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

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 ...

Tuskegee University

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... Date (if temporary) Open Date 04/07/2026 Close Date Open Until Filled No Special Instructions ...

Guardant Health

Staff Business Analyst

Palo Alto, CA

$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 ...

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 ...

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

Single-cell genomics has led to many recent advancements in our understanding of biological ... The Research Data Analyst will join a small team of Ph.D. biologists, computational biologists, and ...

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Temporary Genomic Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 8, 2026, the average yearly pay for temporary genomic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Genomic Data Analyst vs Genomic Data Scientist?

AspectTemporary Genomic Data AnalystGenomic Data Scientist
CredentialsBachelor's degree in biology, genetics, or related field; experience with genomic data toolsMaster's or PhD in bioinformatics, computational biology, or related field; advanced data analysis skills
Work EnvironmentContract-based, short-term projects in labs or biotech companiesLong-term research or industry roles, often involving complex data modeling
Employer & Industry UsageResearch labs, biotech firms, healthcare institutionsPharmaceutical companies, research institutions, biotech firms

The main difference is that a Temporary Genomic Data Analyst typically works on short-term projects with foundational data analysis skills, while a Genomic Data Scientist handles more complex modeling and long-term research tasks. The roles overlap in credentials and work environment but differ in scope and experience level.

What cities are hiring for Temporary Genomic Data Analyst jobs? Cities with the most Temporary 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 Temporary Genomic Data Analyst jobs? States with the most job openings for Temporary Genomic Data Analyst jobs include:
Temporary Genomic Data Analyst jobs near you
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 7 days ago

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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.