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Internship 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 Job Summary We are seeking a highly skilled and motivated Research Assistant Professor with expertise ...

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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How much do internship genomic data analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship genomic data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Genomic Data Analyst, and why are they important?

To thrive as an Internship Genomic Data Analyst, you need a foundational knowledge of genetics, statistics, and bioinformatics, usually supported by coursework in biology, computational sciences, or related fields. Familiarity with programming languages such as Python or R, experience with genomic databases, and basic proficiency in data analysis tools are commonly required. Strong analytical thinking, attention to detail, and effective teamwork skills help interns excel in collaborative research environments. These competencies are crucial for accurately interpreting complex genomic data and contributing meaningful insights to scientific projects.

What is an Internship Genomic Data Analyst?

An Internship Genomic Data Analyst is a trainee or student who assists with analyzing and interpreting large sets of genetic data, often as part of a research or healthcare team. They typically use bioinformatics tools and programming languages to process DNA, RNA, or protein sequences, identify genetic variants, and generate reports. The internship provides practical experience working with genomic datasets, familiarizing interns with industry-standard analysis methods and laboratory workflows. This role is ideal for students in biology, bioinformatics, or computer science looking to gain hands-on experience in genomics. Responsibilities may include data cleaning, statistical analysis, and collaborating with scientists to draw meaningful conclusions from genetic data.

What types of projects and daily tasks can I expect as an Internship Genomic Data Analyst?

As an Internship Genomic Data Analyst, you will likely work on tasks such as cleaning and preprocessing genomic datasets, running bioinformatics pipelines, and performing statistical analyses to interpret genetic data. Your day-to-day responsibilities may also include data visualization, assisting with literature reviews, and collaborating closely with both computational and biological researchers. Interns often gain exposure to a variety of genomic technologies and analytical tools, providing practical experience that helps build a strong foundation for future roles in the field.
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Internship Genomic Data Analyst jobs near you
Infographic showing various Internship Genomic Data Analyst job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 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 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.