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Entry Level Biotech Data Analyst Jobs in Seattle, WA

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

Prism Biotech

Sales Representative - Biotech

Redmond, WA · On-site

$87K - $118K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... Utilize strong analytical and business acumen skills to identify areas of opportunities and provide ...

Pwc

Data Engineer - Senior Associate

Seattle, WA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

City of Seattle, WA

Fire Exams Analyst, Senior

Seattle, WA · On-site +1

$55.19 - $64.25/hr

We develop and administer merit-based entry-level and promotional exams for the Seattle Fire and ... Manage exam-related data, documentation, and information throughout the testing lifecycle * Oversee ...

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All JobsBiotech Data Analyst JobsEntry Level Biotech Data Analyst JobsEntry Level Biotech Data Analyst Jobs in Seattle, WA

Entry Level Biotech Data Analyst information

See Seattle, WA salary details

$15

$37

$70

How much do entry level biotech data analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level biotech data analyst in Seattle, WA is $37.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $41.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Biotech Data Analyst vs Entry Level Bioinformatics Technician?

AspectEntry Level Biotech Data AnalystEntry Level Bioinformatics Technician
Required CredentialsBachelor's in Biology, Bioinformatics, or related field; basic data analysis skillsBachelor's in Biology, Bioinformatics, or related field; familiarity with bioinformatics tools
Work EnvironmentLaboratories, research facilities, data analysis teamsLaboratories, computational environments, research settings
Employer & Industry UsageBiotech companies, pharmaceutical firms, research institutionsResearch labs, biotech firms, academic institutions

Entry Level Biotech Data Analysts focus on analyzing biological data using statistical tools, while Entry Level Bioinformatics Technicians assist with data processing and managing bioinformatics software. Both roles require similar educational backgrounds and are common in biotech and research settings, but Data Analysts emphasize data interpretation, whereas Technicians focus on data management and technical support.

What are the most commonly searched types of Biotech Data Analyst jobs in Seattle, WA? The most popular types of Biotech Data Analyst jobs in Seattle, WA are:
What are popular job titles related to Entry Level Biotech Data Analyst jobs in Seattle, WA? For Entry Level Biotech Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Biotech Data Analyst jobs in Seattle, WA look for? The top searched job categories for Entry Level Biotech Data Analyst jobs in Seattle, WA are:
Entry Level Biotech Data Analyst jobs near you
Infographic showing various Entry Level Biotech Data Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 74% Full Time, 14% Part Time, 3% Temporary, and 9% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $77,940 per year, or $37.5 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 25 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.