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Contractual Genomic Data Analyst Jobs (NOW HIRING)

Our main aim is to understand the genetic and epigenetic mechanisms that underlie disease processes through computational and statistical analysis of genomic data. We are particularly interested in ...

Our main aim is to understand the genetic and epigenetic mechanisms that underlie disease processes through computational and statistical analysis of genomic data. We are particularly interested in ...

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 ...

Staff Business Analyst

Palo Alto, CA

$72K - $96K/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 ...

Staff Business Analyst

Palo Alto, CA · On-site

$72K - $96K/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 ...

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Contractual Genomic Data Analyst information

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$34K

$82.6K

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

As of Jul 25, 2026, the average yearly pay for contractual 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 Contractual Genomic Data Analyst vs Clinical Data Analyst?

AspectContractual Genomic Data AnalystClinical Data Analyst
Required CredentialsBachelor's in Genetics, Bioinformatics, or related field; experience with genomic data analysisBachelor's in Health Informatics, Biology, or related; experience with clinical trial data
Work EnvironmentResearch labs, biotech companies, contract-based projectsHospitals, clinics, healthcare organizations
Employer & Industry UsageBiotech firms, research institutions, contract agenciesHealthcare providers, pharmaceutical companies, hospitals

The Contractual Genomic Data Analyst primarily focuses on analyzing genomic datasets in research or biotech settings, often on a contractual basis. In contrast, the Clinical Data Analyst works within healthcare environments, managing clinical trial or patient data. While both roles require data analysis skills and related credentials, their work environments and industry applications differ significantly.

What is the salary of genomic data analyst?

The salary of a genomic data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills in bioinformatics and data analysis tools can earn higher salaries.

Will AI replace a data analyst?

AI is transforming the role of data analysts, including genomic data analysts, by automating routine tasks such as data cleaning and initial analysis. However, human expertise remains essential for interpreting complex biological data, making strategic decisions, and ensuring data quality. The role is evolving to include skills in machine learning tools and programming languages like Python or R.

Is 40 too late for data science?

Age is not a strict barrier for a Contractual Genomic Data Analyst or data science roles; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistical analysis, and domain knowledge, which can be developed through online courses and certifications regardless of age.

What does a genomic data analyst do?

A genomic data analyst processes and interprets large-scale genetic data to identify variations, patterns, and insights relevant to research or clinical applications. They use bioinformatics tools, programming languages like Python or R, and statistical methods to analyze sequencing data and support genomic studies.
More about Contractual Genomic Data Analyst jobs
What cities are hiring for Contractual Genomic Data Analyst jobs? Cities with the most Contractual 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 Contractual Genomic Data Analyst jobs? States with the most job openings for Contractual Genomic Data Analyst jobs include:
Infographic showing various Contractual Genomic Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 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 23 days ago


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.