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Bioinformatics Jobs in Bothell, WA (NOW HIRING)

Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixelseq and an immune receptorfocused multimodal expansion ("ImmunoPixelseq"

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Bioinformatics information

See Bothell, WA salary details

$66.5K

$105.6K

$167.1K

How much do bioinformatics jobs pay per year?

As of Jul 7, 2026, the average yearly pay for bioinformatics in Bothell, WA is $105,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $144,800.00 per year, depending on experience, location, and employer.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the key skills and qualifications needed to thrive in the Bioinformatics position, and why are they important?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

What are the most commonly searched types of Bioinformatics jobs in Bothell, WA? The most popular types of Bioinformatics jobs in Bothell, WA are:
What are popular job titles related to Bioinformatics jobs in Bothell, WA? For Bioinformatics jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics jobs in Bothell, WA look for? The top searched job categories for Bioinformatics jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Bioinformatics jobs? Cities near Bothell, WA with the most Bioinformatics job openings:
Infographic showing various Bioinformatics job openings in Bothell, WA as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $105,612 per year, or $50.8 per hour.
Research Scientist/Engineer 1

Research Scientist/Engineer 1

Uw

Seattle, WA • On-site

$70K/yr

Full-time

Re-posted 17 days ago


University Of Washington rating

8.4

Company rating: 8.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

80th of 544 rated colleges and universities


Job description

Job Description

Field of Research:

Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixelseq and an immune receptorfocused multimodal expansion ("ImmunoPixelseq"). Work includes NGS data processing, spatial barcode mapping, singlecell & spatial analysis, and cell segmentation in brain, tumor, and other tissues.

Purpose of the Research project(s):

To build and operate robust, reproducible pipelines that transform raw sequencing + barcode map into highquality, spatially resolved singlecell datasets; to deliver diseasefocused analyses that advance mechanistic discovery and translational hypotheses (e.g., tumor microenvironment, neuroanatomical circuits).

Duties and Responsibilities:

Endtoend data processing (BCL/FASTQ QC counts) - 20%
Demultiplexing, adapter/quality trimming, UMI handling, alignment/quantification; generation of MultiQC reports and run manifests.

Spatial barcode mapping & registration - 15%

Build/validate barcode(x,y) maps for Pixelseq; error correction; join gene/protein counts to spatial coordinates; QA of mapping rates.

Segmentation & QC - 20%
Apply/benchmark nuclei or wholecell segmentation (e.g., Cellpose/StarDist/SAM); maintain curated masks and QC thumbnails.

Downstream singlecell & spatial analysis - 20%
Create annotated data objects (e.g., AnnData/Seurat); normalization, clustering, label transfer; spatial neighborhood/domain analysis; multiomic modeling for RNA+protein where applicable.

Pipeline automation & reproducibility - 10%
Implement/maintain Snakemake/Nextflow workflows with containers (Apptainer/Docker), CI tests, and clear documentation.

Project support, collaboration & reporting - 7%
Prepare figures/tables; concise analysis memos; contribute to methods sections.
Light server/environment maintenance & upgrades (DevOpslite) - 5%
Build and update containerized analysis environments, maintain conda/uv environments.
DevOpslite & data stewardship - 3%
Maintain analysis environments/containers; basic SLURM job scripts; coordinate with IT on storage/backup hygiene.

Visa Eligibility

This position is eligible for H-1B sponsorship.

Minimum Requirements:

Bachelor's Degree in CS, Applied Math, Bioinformatics, Computational Biology, ECE and one year of relevant experience with Computational biology/bioinformatics.

Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Additional Requirements:

1. Programming & data: Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git; Linux.
2. NGS data processing: BCLFASTQ demultiplexing; adapter/quality trimming; UMI handling; QC with MultiQC; alignment/quantification to reference.
3. Spatial omics: Pixelseq barcode(x,y) mapping concepts; creation of spatially annotated objects (AnnData/Seurat).
4. Segmentation: Practical use of Cellpose/FICTURE (or similar); basic image QC.
5. Singlecell & spatial analysis: Normalization, clustering, label transfer; spatial neighborhood/domain analyses (e.g., with Squidpy/Giotto).
6. Reproducibility & automation: Snakemake or Nextflow; containerization (Apptainer/Docker); clean documentation; basic SLURM job submission.
7. Communication: Clear writing of READMEs, short analysis memos, and figure captions for collaboration with biologists/clinicians.
8. Linux/HPC usage; Slurm job submission, resource requests, and environment management.

Desired Requirements:

1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration.
2. GPU experience: PyTorch/CUDA for segmentation/model inference.
3. Data stewardship: DVC or equivalent data versioning; basic dashboarding/monitoring (Prometheus/Grafana).
4. Domain breadth: Prior coursework/research in biochemistry or genetics; interest in medical/MDPhD pathways.
5. DevOpslite: GitHub Actions CI, environment pinning, reproducible reference bundles, and runbooks.
6. Experience assisting with server upgrades in collaboration with IT (CUDA/cuDNN & GPU driver stacks, Slurm client updates, module systems).
7. Basic familiarity with configuration/monitoring for research workflows (e.g., Ansible basics, Prometheus/Grafana dashboards) under IT guidance.
8. Storage and I/O awareness for highthroughput data (scratch NVMe vs. bulk); performance troubleshooting for pipelines.

Compensation, Benefits and Position Details

Pay Range Minimum:

$65,004.00 annual

Pay Range Maximum:

$70,008.00 annual

Other Compensation:

-

Benefits:

For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/

Shift:

First Shift (United States of America)

Temporary or Regular?

This is a regular position

FTE (Full-Time Equivalent):

100.00%

Union/Bargaining Unit:

UAW Research

About the UW

Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.

UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.

Our Commitment

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.


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