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Associate Computational Biologist Jobs in Pullman, WA

All JobsAssociate Computational Biologist JobsAssociate Computational Biologist Jobs in Pullman, WA

Associate Computational Biologist information

See Pullman, WA salary details

$47.4K

$91.8K

$130.4K

How much do associate computational biologist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for associate computational biologist in Pullman, WA is $91,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $114,300.00 per year, depending on experience, location, and employer.

What is an associate computational biologist?

An Associate Computational Biologist analyzes biological data using computational techniques to support research in genomics, proteomics, and related fields. They work with large datasets, develop algorithms, and write code to interpret biological information. This role often involves collaborating with biologists, bioinformaticians, and software engineers to derive insights from complex biological systems. Strong skills in programming, statistics, and data analysis are essential.

What are the typical daily responsibilities of an associate computational biologist?

An Associate Computational Biologist typically spends their days analyzing large-scale biological data sets, developing or utilizing computational models, and collaborating closely with lab scientists and senior bioinformaticians. Tasks may include writing scripts to automate data processing, visualizing complex results, and interpreting biological significance in partnership with experimental teams. You may also be responsible for troubleshooting data anomalies, staying current with evolving bioinformatics tools, and participating in team meetings to discuss ongoing research projects. This dynamic work environment requires both independent focus and regular communication with interdisciplinary colleagues.

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

To thrive as an Associate Computational Biologist, you need a strong foundation in biology, statistics, and programming, often demonstrated by a relevant degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, data visualization software, and commonly used genomics databases is essential, and experience with high-performance computing environments is a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively with interdisciplinary teams are key soft skills for this role. These competencies enable accurate analytical work, innovative research approaches, and effective collaboration, ensuring success in a fast-paced, research-driven environment.

What job categories do people searching Associate Computational Biologist jobs in Pullman, WA look for?

The top searched job categories for Associate Computational Biologist jobs in Pullman, WA are:

What cities near Pullman, WA are hiring for Associate Computational Biologist jobs?

Cities near Pullman, WA with the most Associate Computational Biologist job openings:

Associate Computational Biologist jobs near you
Infographic showing various Associate Computational Biologist job openings in Pullman, WA as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $91,830 per year, or $44.1 per hour.

Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes

University of Idaho Job

Moscow, ID

$63K/yr

Full-time

Re-posted 19 days ago

Job description

Position Information
Internal Posting? Posting Number SP005013P Position Title Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes Division/College University Research Department Institute for Modeling Collaboration & Innovation (IMCI) Location Moscow Posting Context Statement Position Overview
The Postdoctoral Research Associate selected for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project.
This position is one of three Postdoctoral Research Associate positions currently available at the University of Idaho in the Institute for Modeling Collaboration and Innovation (IMCI). These postdoctoral researchers will contribute to our modeling community as members of an interdisciplinary team of researchers working in a uniquely collaborative environment. IMCI supports an environment that advances model-based interdisciplinary research. The IMCI Modeling Core is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams.
Unit URL
https://imci.uidaho.edu/
Position Qualifications
Required Experience
  • Experience with statistical or predictive modeling as demonstrated by publications in the field
  • Evidence of strong written and oral communication skills
Required Education
  • Ph.D. in statistics, biostatistics, epidemiology, public health, psychology, psychiatry, computational biology, or related discipline
Required Other
  • None
Additional Preferred
  • Experience working in one or more of the following areas:
    • Longitudinal data analysis
    • Predictive modeling/machine learning models
    • Biostatistics / epidemiological modeling of public health data
  • Ability to work as part of a multi-disciplinary team
Physical Requirements & Working Conditions
  • None
Degree Requirement Listed degree qualification is required at time of application
Posting Information
FLSA Status Exempt Employee Category Exempt Pay Range $63,128 annually or higher depending on experience. Type of Appointment Fiscal Year FTE
1.0
Full Time/Part Time Full Time Funding This position is contingent upon the continuation of work and/or funding. A visa sponsorship is available for the position listed in this vacancy. Uncertain Posting Date 09/09/2025 Closing Date Open Until Filled Yes Special Instructions to Applicants
This position is posted as open until filled, however, applications submitted on or before September 23, 2025, will receive priority consideration.
Applicants:
Please use your letter of qualification to explain in detail how your work experience, skills, and abilities meet both the required and preferred qualifications as listed in the position description. Your letter of qualification will be used to demonstrate your communication and writing skills to determine your ranking among the other applicants for this position.
For resources about how to write a letter of qualification, please visit the HR website here: Applicant Resources - Careers | University of Idaho (uidaho.edu)
For more information about this position, please visit our Jobs page. If you have any questions regarding this posting, please reach out to the search coordinator at kskovgard@uidaho.edu.
Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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