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Summer 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 ...

Baylor Genetics

Lead Bioinformatics AI Scientist

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

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Summer Genomic Data Analyst information

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

As of Jun 13, 2026, the average yearly pay for summer 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 types of projects and data analyses can a Summer Genomic Data Analyst expect to work on, and how is mentorship typically provided during the internship?

As a Summer Genomic Data Analyst, you can expect to work on projects involving large-scale genomic datasets, such as analyzing DNA sequencing data, identifying genetic variants, or exploring gene expression patterns. Daily responsibilities often include cleaning and processing raw data, running bioinformatics pipelines, and interpreting results under the guidance of more experienced team members. Mentorship is typically structured through regular meetings with a supervisor or postdoctoral researcher, who provides feedback, technical support, and career advice. You'll also have opportunities to collaborate with other analysts and scientists, fostering valuable teamwork and communication skills.

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

To thrive as a Summer Genomic Data Analyst, you need a solid background in biology, statistics, and data analysis, often supported by coursework or experience in genomics and bioinformatics. Familiarity with programming languages such as Python or R, experience with genomic databases, and knowledge of tools like BLAST or GATK are typically required. Strong analytical thinking, attention to detail, and effective communication are soft skills that set candidates apart. These skills are crucial for accurately interpreting complex genomic data and contributing valuable insights to research projects within tight timelines.

What field is the highest paid data analyst?

In the field of data analysis, roles specializing in finance, technology, and consulting tend to offer the highest salaries. Data analysts with expertise in machine learning, big data tools, and advanced statistical skills often command higher pay, especially in industries like finance and tech firms. Salary levels also depend on experience, certifications, and geographic location.

How to become a genomic data analyst?

To become a genomic data analyst, typically a bachelor's degree in biology, genetics, bioinformatics, or a related field is required, often supplemented by skills in programming languages like Python or R and experience with genomic analysis tools. Gaining proficiency in data management, statistical analysis, and understanding of genomic databases enhances job prospects, and some roles may require advanced degrees or certifications in bioinformatics or computational biology.

Will AI replace data analyst?

AI is transforming the role of genomic data analysts by automating data processing and pattern recognition, but it is unlikely to fully replace them. Analysts are needed to interpret complex results, validate models, and provide biological insights that AI tools cannot fully replicate. Skills in programming, statistical analysis, and domain knowledge remain essential in this evolving field.

Is 30 too late for data science?

For a Summer Genomic Data Analyst or similar data science roles, starting at age 30 is not a barrier. Many professionals transition into data science later in life, often leveraging prior experience, relevant skills like programming and statistical analysis, and certifications to succeed in the field.

What does a Summer Genomic Data Analyst do?

A Summer Genomic Data Analyst is typically a temporary or internship position where individuals work on analyzing and interpreting large sets of genomic data, often as part of a research team. They use bioinformatics tools and statistical methods to process DNA, RNA, or protein sequencing data, draw meaningful conclusions, and assist in the discovery of genetic patterns or variants. This role often involves programming, data visualization, and collaboration with scientists to support biological or medical research projects. Summer Genomic Data Analysts gain valuable hands-on experience in genomics and computational biology during their internship period.
What cities are hiring for Summer Genomic Data Analyst jobs? Cities with the most Summer 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:
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Summer 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 11 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.