Minimum of 2 years of relevant experience in computational biology, bioinformatics, genomics, biological data analysis, or related research support.
Master's degree in computational biology, bioinformatics, genomics, statistics, computer science, data science, microbiology, or a related field.
Experience with next-generation sequencing data analysis, microbiome/metagenomic analysis, amplicon sequencing, shotgun metagenomics, genomics, transcriptomics, multi-omics integration, or related biological data types.
Experience developing, maintaining, or applying reproducible workflows using workflow managers, structured pipeline frameworks, containers, or cloud/ HPC environments.
Experience with Git/GitHub or other version-control systems.
Experience with statistical modeling, machine learning, data visualization, and/or multi-omics integration.
Familiarity with human-subjects research data, controlled-access datasets, data-use agreements, or data security and access-control requirements.
Experience mentoring, training, or onboarding students, junior staff, or collaborators in computational methods.
Experience preparing figures, tables, methods text, technical documentation, or analysis reports for manuscripts, grants, or presentations.
Position S
Benefits
Required Qualifications:Bachelor's degree in computational biology, bioinformatics, genomics, microbiology, biology, statistics, computer science, data science, or a related field.Demonstrated experience analyzing biological or biomedical datasets using R, Python, command-line tools, and/or other relevant computational platforms.Experience working in Linux/Unix environments and managing files, scripts, and analyses on shared computing systems or high-performance computing resources.Strong organizational and time-management skills, with the ability to manage multiple projects, timelines, and data-analysis requests simultaneously.Ability to maintain clear documentation of code, analyses, workflows, data organization, and project decisions to support reproducible research.Ability to communicate computational methods, results, assumptions, and limitations clearly to both computational and non-computational collaborators.Demonstrated ability to work independently and collaboratively in a research environment.Commitment to responsible data handling, data security, and compliance with institutional policies for research data access and use.Dental insurancePaid time off
Additional Information
Online applications must be received before 11:59pm on:
June 24, 2026 If a date is not listed above, review the Applicant Instructions below for more details.
Available Title(s):
1457-YN_ADMINPRO - Research Intern
Business Title:
Research Intern - Shen Lab
Employee Type:
Admin. Professional (+) (Fixed Term)
Position Details:
Join a dynamic and collaborative research team, in the School of Molecular Biosciences, investigating how the microbiome, host genetics, and the immune system shape atopic diseases and related biological questions. As our Research Intern focused on computational biology, bioinformatics, and data analysis, you will serve as a key bioinformatician in the lab, supporting high-impact research through reproducible data analysis, pipeline development, data and code organization, and collaborative project management. This position will help maintain secure and well-documented research data systems, assist with analysis of sequencing and multi-omics datasets, support manuscript and grant-related outputs, and mentor and onboard new lab members in computational workflows and best practices.
Additional Information:
This is a full time (100 % FTE), temporary position. This position is overtime eligible.
Temporary End Date:
This is a temporary position expected to end on June 30,2027 . Renewal is dependent on the need for extension and/or if additional funding is secured to extend employment.
Monthly Salary:
$3,379.14 - $4,862.67 | Commensurate with experience and qualifications
In accordance with RCW 49.58.110 , the above salary reflects the full salary range for this position. Individual placement within the range is based on the candidate's current experience, education, skills, and abilities related to the position.
Wsu · Pullman, WA