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Temporary Bioinformatics Software Engineer Jobs in Seattle, WA

Software Engineer III

Seattle, WA · On-site

$187K - $208K/yr

Software Engineer III (Full-Stack & Cloud Architecture) Role Overview We are seeking an experienced ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Senior Full-Stack Software Engineer Role Overview We are seeking a Senior Full-Stack Software ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Ground System Software Engineer (R4787)

Seattle, WA · On-site

$196K - $233K/yr

We are seeking a highly motivated Ground System Software Engineer to design, develop, and maintain ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

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Temporary Bioinformatics Software Engineer information

See Seattle, WA salary details

$48.9K

$149.1K

$271.4K

How much do temporary bioinformatics software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for temporary bioinformatics software engineer in Seattle, WA is $149,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $178,700.00 per year, depending on experience, location, and employer.

What does a temporary bioinformatics software engineer do?

A Temporary Bioinformatics Software Engineer develops and maintains software tools and applications used in biological and genomic research, typically for a specific short-term project or to cover a staffing gap. They collaborate with scientists to analyze data, automate workflows, and ensure the accuracy of computational methods. Their work often involves writing code, managing databases, and troubleshooting technical issues related to the processing of biological data. Temporary roles usually focus on delivering specific features or supporting research within a defined timeframe.

What types of projects and collaborations can a temporary bioinformatics software engineer expect to be involved in?

As a Temporary Bioinformatics Software Engineer, you will typically work on short-term projects such as developing or maintaining data analysis pipelines, optimizing algorithms for genomic data processing, or integrating software tools with laboratory information management systems. Collaboration is frequent with research scientists, data analysts, and other engineers, often through agile project teams or cross-functional meetings. The fast-paced nature of temporary roles means you’ll need to quickly adapt to new codebases, contribute to ongoing research, and communicate technical findings effectively. This can be a great opportunity to build specialized skills, expand your professional network, and gain exposure to the latest advancements in bioinformatics.

What are the key skills and qualifications needed to thrive as a temporary bioinformatics software engineer, and why are they important?

To thrive as a Temporary Bioinformatics Software Engineer, you need a solid background in computer science, biology, and programming languages such as Python, R, or Java, often with a degree in bioinformatics or a related field. Familiarity with bioinformatics tools, databases (e.g., BLAST, Ensembl), and experience using version control systems like Git are typically required. Strong analytical thinking, adaptability, and effective communication are crucial for collaborating with multidisciplinary teams and handling changing project needs. These skills enable efficient development and maintenance of software solutions that support complex biological data analysis in a fast-paced, project-driven environment.

What is the difference between Temporary Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Software EngineerBioinformatics Data Analyst
CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldBachelor's or Master's in Bioinformatics, Biology, or related field
Work EnvironmentProject-based, software development teams, research labsData interpretation, reporting, research teams
Industry UsageBiotech, pharma, research institutionsHealthcare, research, biotech

Temporary Bioinformatics Software Engineers focus on developing and maintaining bioinformatics tools and pipelines, often working in software development environments. Bioinformatics Data Analysts primarily interpret and analyze biological data, providing insights for research or clinical decisions. While both roles require bioinformatics knowledge, their core responsibilities and work settings differ.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Seattle, WA?

The most popular types of Bioinformatics Software Engineer jobs in Seattle, WA are:

Infographic showing various Temporary Bioinformatics Software Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 14% Locum Tenens, 3% As Needed, 60% Full Time, 10% Part Time, 2% Contract, and 11% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $149,142 per year, or $71.7 per hour.

Bioinformatics Analyst II

Seattle, WA • On-site

Fred Hutchinson Cancer Research Center
Health Care and Social Assistance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Analyze large sequence datasets from diverse workflows including bulk RNA-seq, single-cell sequencing, and spatial transcriptomics platforms

  • Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows

  • Define and program data-processing pipelines for data analysis


Job description

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The mission of Fred Hutchinson Innovation Lab (FHIL) is to help with adoption and to best leverage rapid technological developments that empower translational research related to cancer immunotherapy. FHIL serves the Fred Hutch Cancer Center and the Immunotherapy research community, which is a highly dynamic and collaborative environment.

As an integral member of FHIL, the Bioinformatics Analyst I/II provides collaborative and innovative analytic support to advance a broad range of projects mostly related cancer immunotherapy, leveraging single-cell and spatial transcriptomic data to support and empower cutting-edge research. This position will involve working closely with a broad range of investigators at Fred Hutch and beyond. The Bioinformatics Analyst will be responsible for working with data from current and newly developed commercial assays, and for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, and communication and presentation of results.

This specific position will provide programming, analytic, and data-processing support for projects requiring supervised and unsupervised machine learning. Specific responsibilities include working with scientific investigators, senior data scientists and external collaborators; defining and programming data-processing pipelines for data analysis; conducting both prescribed analytical plans and exploratory data analyses; compiling of statistical analyses and the creation of data visualizations. This position will report to the FHIL Research Lab Manager and take direction from the FHIL Scientific Director.

A cover letter is preferred upon application that describes your interest in the position and any relevant experience. 

Responsibilities

Responsibilities will include a variety of analysis methodologies and data file storage/organizational duties. The following are typical tasks the successful applicant will perform:

  • Analyze large sequence datasets from diverse workflows including bulk RNA-seq, single-cell sequencing, and spatial transcriptomics platforms.
  • Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows.
  • Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines.
  • Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects.
  • Consult with researchers on sound experimental design.
  • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the Hutch community.
  • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications.
  • Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab).
  • Other duties as assigned.
Qualifications

MINIMUM QUALIFICATIONS:

Bioinformatics Analyst I:

  • Bachelor's degree in Statistics, Biostatistics, Bioinformatics or equivalent education.
  • 0-2 years of work experience with bioinformatics in the relevant scientific domain.
  • Proficiency in, at least, one modern scripting or programming language (Python, R, etc).

Bioinformatics Analyst II:

  • Bachelor's degree in bioinformatics, computational biology, genetics, or related field with at least three years' direct experience in computational analysis of large sequence-based molecular data sets.
  • Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq).
  • Effective use of shell scripting and significant fluency in R and Python 3 are essential.
  • Familiarity with commonly used Bioconductor packages, ggplot, tidyverse etc.
  • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).

PREFERRED QUALIFICATIONS:

  • MS degree in Computational Biology, Computer Science, or Bioinformatics, with at least 3 years direct experience in computational analysis of large sequence-based molecular datasets.
  • Experience analyzing sequence data with effective use of shell scripting.
  • Familiarity with version control and other software development best practices.
  • Experience with workflow manager such as NextFlow
  • Record and track analysis processing in GitHub, manage data transfers.
  • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
  • Excellent written and verbal communication skills are absolutely required.
  • Ability to learn new tools and content quickly and independently.
  • Strong oral and communication skills.
  • Willing to work onsite most days (some flexibility in remote work).
  • Ability to work collaboratively with a team of individuals with diverse backgrounds and expertise.
  • A strong interest in developing reproducible analyses and reports.
  • Experience working in and developing cloud computing environments is a plus.
  • Knowledge of and interest in immunology/molecular biology a plus.

Bioinformatics Analyst I:The annual base salary range for this position is from $80,172 to $104,250, and pay offered will be based on experience and qualifications.

Bioinformatics Analyst II: The annual base salary range for this position is from $80,475 to $120,681, and pay offered will be based on experience and qualifications.

A cover letter is preferred upon application that describes your interest in the position and any relevant experience. Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional InformationWe are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Employment Type: FULL_TIME