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Hourly Computer Science Bioinformatics Jobs in Seattle, WA

Bioinformatics Analyst III

Seattle, WA · On-site

$105K - $130K/yr

Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on ... Working at a computer and using a mouse for extended periods of time Position Type/Expected Hours ...

Bioinformatics Analyst III

Seattle, WA · On-site +1

$105K - $130K/yr

Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on ... Working at a computer and using a mouse for extended periods of time Position Type/Expected Hours ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative ...

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Hourly Computer Science Bioinformatics information

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How much do hourly computer science bioinformatics jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for hourly computer science bioinformatics in Seattle, WA is $48.69, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $48.99 per hour, depending on experience, location, and employer.

What types of projects might I work on as an hourly Computer Science Bioinformatics professional?

As an hourly Computer Science Bioinformatics professional, you can expect to be involved in projects such as analyzing large-scale biological datasets, developing bioinformatics tools or pipelines, and supporting research teams with data processing tasks. Your work may include tasks like writing scripts to automate data analysis, maintaining databases of genetic information, or collaborating with biologists to interpret results. The variety and scope of projects will often depend on the organization's focus—whether it's genomics, proteomics, or clinical research—and you may find yourself working both independently and as part of multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an Hourly Computer Science Bioinformatics professional, and why are they important?

To thrive as an Hourly Computer Science Bioinformatics professional, you need a strong background in computer science, programming (such as Python or R), and a solid understanding of biological data analysis, often supported by a degree in bioinformatics, computer science, or related fields. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), databases, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are crucial for generating accurate insights from biological datasets and driving successful research outcomes.

What is an Hourly Computer Science Bioinformatics job?

An Hourly Computer Science Bioinformatics job involves applying computer science techniques to solve biological data problems, such as analyzing DNA sequences or managing large biological datasets. These roles are typically temporary or contract-based, where individuals are paid by the hour rather than salaried. Bioinformaticians in these positions may work on tasks like developing algorithms, writing code for data analysis, or supporting research projects. The flexibility of hourly work allows companies to hire experts for specific projects or periods of need.
What are popular job titles related to Hourly Computer Science Bioinformatics jobs in Seattle, WA? For Hourly Computer Science Bioinformatics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Hourly Computer Science Bioinformatics jobs in Seattle, WA look for? The top searched job categories for Hourly Computer Science Bioinformatics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Hourly Computer Science Bioinformatics jobs? Cities near Seattle, WA with the most Hourly Computer Science Bioinformatics job openings:
Infographic showing various Hourly Computer Science Bioinformatics job openings in Seattle, WA as of July 2026, with employment types broken down into 4% Locum Tenens, 38% As Needed, 27% Full Time, 4% Part Time, 1% Contract, and 26% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $101,284 per year, or $48.7 per hour.
Bioinformatics Analyst III

Bioinformatics Analyst III

Allen Institute

Seattle, WA • On-site

$105K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Bioinformatics Analyst III - Neuroimmunology
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission for the Immunology Accelerator is to advance the fundamental understanding of human immunology through the study of immune health and diseases where excessive or impaired immune responses drive pathological processes. The Institute will employ a multi-disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology. The Institute will simultaneously provide a foundational data set and tools for future immunological research as well as a novel collaboration portal for the broader scientific community.
The Immunology Accelerator team is seeking a Bioinformatics Analyst III to support the neuroimmune interaction program. The ideal candidate is a self-motivated team player who can work closely with investigators to analyze molecular omics data, implement and streamline in-house or open-source analysis pipelines for omics data, and provide solid bioinformatic support to Institute research projects.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
  • Analyze multi-omics data from neuroimmunology projects, including but not limited to: spatial transcriptomics, scRNA-seq, proteomics, flow cytometry, and/or imaging
  • Work closely with cross-functional teams to discover new insights in neuroimmunology, either as an independent contributor or as a project leader under minimal supervision
  • Contribute to a rigorously scientific, cohesive and efficient team environment

Required Education and Experience
  • Bachelor's degree in bioinformatics or related biological degree with demonstrated computational skillsets
  • 4 years of relevant experience; experience in clinical research or technology development or related discipline

Preferred Education and Experience
  • Master's degree
  • 4 - 8+ years' experience in bioinformatics research or technology development
  • Experience in clinical research on autoimmune diseases or cancers
  • Track record of implementing analysis pipelines for omics data
  • Experience in literature mining and database query
  • Fluency in R, Python/Perl, linux operation system, and shell scripting
  • Familiar with single-cell technologies and literature
  • Experience in collaboration with web-lab scientists on technology development
  • Experience in molecular biology, high-throughput technologies, and immunology
  • Working knowledge of cloud computing and version control systems such as Git
  • Excellent written and verbal communication skills and organizational skills
  • Able to work independently as well as in a collaborative high paced environment under minimum supervision
  • The successful candidate must be self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously

Work Environment
  • May enter laboratory environment, including potential exposure to lasers, biohazards

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment; lab equipment
  • Working at a computer and using a mouse for extended periods of time

Position Type/Expected Hours of Work
  • Occasional evening and weekend hours may be required
  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State

Travel
  • Occasional travel may be required
  • Attendance and participation in national and international conferences may be required

Additional Comments
  • Please note, this opportunity may provide work visa sponsorship
  • Please note, this opportunity offers relocation assistance

Annualized Salary Range
  • $105,600 - $130,650 *

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.
Benefits
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.