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Bioinformatics Jobs in Bothell, WA (NOW HIRING)

Actalent

Scientist

Seattle, WA

Collaborate closely with bioinformatics and data science partners to ensure that data formats and metadata meet downstream analysis requirements. * Handle and maintain biological specimens, including ...

Actalent

Senior Scientist - Spatial Biology

Seattle, WA

$104K - $142K/yr

Collaborate closely with bioinformatics and data science partners to ensure that data formats and metadata meet downstream analysis requirements. * Handle and maintain biological specimens, including ...

Benaroya Research Institute

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and systems immunology approaches into experimental design and data analysis. * Work collaboratively with ...

Benaroya Research Institute

Staff Scientist

Seattle, WA

$72K - $111K/yr

Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and systems immunology approaches into experimental design and data analysis. * Work collaboratively with ...

Benaroya Research Institute

Staff Scientist

Seattle, WA

$72K - $111K/yr

Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and systems immunology approaches into experimental design and data analysis. * Work collaboratively with ...

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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 Aug 20, 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 is bioinformatics?

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 typical day-to-day responsibilities of a bioinformatics professional?

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 are the key skills and qualifications needed to thrive in bioinformatics?

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.

Do bioinformaticians make a lot of money?

Bioinformaticians typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.

How hard is it to get a job in bioinformatics?

Securing a job in bioinformatics can be competitive, often requiring a strong background in biology, computer science, or related fields, along with skills in programming, data analysis, and familiarity with tools like Python, R, or Linux. Relevant education such as a master's or Ph.D. and experience with large datasets or sequencing technologies can improve job prospects, but entry-level positions are available for those with relevant skills and training.

What do people who work in bioinformatics do?

Bioinformatics professionals analyze biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop software, interpret large datasets, and collaborate with biologists and healthcare researchers to advance understanding of biological processes and improve medical research.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, biotechnology, and academic research. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.

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 cities near Bothell, WA are hiring for Bioinformatics jobs?

Cities near Bothell, WA with the most Bioinformatics job openings:

Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Bothell, WA as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $105,612 per year, or $50.8 per hour.

Research Scientist/Engineer 1

University of Washington

Seattle, WA • On-site

Full-time

Re-posted 22 days ago

University Of Washington School Of Medicine rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 620 rated colleges and universities

Job description

Job Summary:
The University of Washington is a leading institution dedicated to fostering an inclusive environment and advancing research. They are seeking a Research Scientist/Engineer 1 to contribute to computational biology projects, focusing on developing pipelines for spatial transcriptomics and related analyses.
Responsibilities:
• End‑to‑end 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 Pixel‑seq; error correction; join gene/protein counts to spatial coordinates; QA of mapping rates.
• Segmentation & QC – 20%
• Apply/benchmark nuclei or whole‑cell segmentation (e.g., Cellpose/StarDist/SAM); maintain curated masks and QC thumbnails.
• Downstream single‑cell & spatial analysis – 20%
• Create annotated data objects (e.g., AnnData/Seurat); normalization, clustering, label transfer; spatial neighborhood/domain analysis; multi‑omic 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 (DevOps‑lite) — 5%
• Build and update containerized analysis environments, maintain conda/uv environments.
• DevOps‑lite & data stewardship – 3%
• Maintain analysis environments/containers; basic SLURM job scripts; coordinate with IT on storage/backup hygiene.
Qualifications:
Required:
• Bachelor's Degree in CS, Applied Math, Bioinformatics, Computational Biology, ECE and one year of relevant experience with Computational biology/bioinformatics.
• Programming & data: Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git; Linux.
• NGS data processing: BCL→FASTQ demultiplexing; adapter/quality trimming; UMI handling; QC with MultiQC; alignment/quantification to reference.
• Spatial omics: Pixel‑seq barcode→(x,y) mapping concepts; creation of spatially annotated objects (AnnData/Seurat).
• Segmentation: Practical use of Cellpose/FICTURE (or similar); basic image QC.
• Single‑cell & spatial analysis: Normalization, clustering, label transfer; spatial neighborhood/domain analyses (e.g., with Squidpy/Giotto).
• Reproducibility & automation: Snakemake or Nextflow; containerization (Apptainer/Docker); clean documentation; basic SLURM job submission.
• Communication: Clear writing of READMEs, short analysis memos, and figure captions for collaboration with biologists/clinicians.
• Linux/HPC usage; Slurm job submission, resource requests, and environment management.
Preferred:
• Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration.
• GPU experience: PyTorch/CUDA for segmentation/model inference.
• Data stewardship: DVC or equivalent data versioning; basic dashboarding/monitoring (Prometheus/Grafana).
• Domain breadth: Prior coursework/research in biochemistry or genetics; interest in medical/MD‑PhD pathways.
• DevOps‑lite: GitHub Actions CI, environment pinning, reproducible reference bundles, and runbooks.
• Experience assisting with server upgrades in collaboration with IT (CUDA/cuDNN & GPU driver stacks, Slurm client updates, module systems).
• Basic familiarity with configuration/monitoring for research workflows (e.g., Ansible basics, Prometheus/Grafana dashboards) under IT guidance.
• Storage and I/O awareness for high‑throughput data (scratch NVMe vs. bulk); performance troubleshooting for pipelines.
Company:
University of Washington is an educational institution that provides undergraduate, graduate, and research programs. Founded in 1861, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

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