Find The RightJob.
The Research Associate – Computational Scientist supports research efforts in Dr. Amy Ryan’s laboratory, which studies lung regeneration and the molecular and cellular mechanisms underlying mucociliary clearance. Under general supervision the position will provide comprehensive computational and data science support across all laboratory projects, with a primary focus on advanced analysis of high-dimensional biological datasets, including bulk and single-cell RNA sequencing, epigenomics, proteomics, and multimodal data integration.
This role involves the development, implementation, and maintenance of computational pipelines; application of statistical and machine learning methodologies; and generation of integrative models of mucociliary function in lung health and disease. The Research Associate collaborates closely with experimental scientists, trainees, and collaborators, contributing to study design, data interpretation, visualization, and dissemination. The position may also support data infrastructure efforts, including database development, data warehousing, and innovative computational tools that enhance data sharing, reproducibility, and discovery.
Duties will include:
Computational and Bioinformatic Analysis
Perform computational analyses of biological datasets, including bulk RNA-seq and single-cell RNA-seq (scRNA-seq), following established laboratory and field-standard workflows.
Conduct quality control, normalization, differential expression analysis, clustering, pathway analysis, and data visualization under guidance from senior staff or investigators.
Data Integration and Computational Support
Research Collaboration
Data Management and Compliance
Professional Development and Laboratory Support
Percent of Time: 500%
Salary: $23,225 to commensurate
Pay Grade: 4A - https://hr.uiowa.edu/pay/pay-plans/professional-and-scientific-pay-structure
Type of Position: Specified Term. Initial appointment is for one year. Appointment may be extended based on performance and availability of funding.
Benefits Highlights
Required Qualifications:
Desirable Qualifications:
Experience with integration of multimodal datasets (e.g., transcriptomic, epigenomic, proteomic, and phenotypic data).
Familiarity with single‑cell analysis frameworks and tools (e.g., Seurat, Monocle, or similar).
Exposure to epigenomic analysis workflows, including chromatin accessibility or regulatory element analysis.
Basic experience applying machine learning or predictive modeling approaches to biological data.
Experience developing or contributing to reproducible workflows using version control systems (e.g., Git).
Experience generating publication‑quality figures and contributing to manuscripts, abstracts, or grant applications.
Interest in lung biology, regenerative medicine, mucociliary clearance, or related biomedical research areas.
Willingness to learn new computational methods and emerging approaches relevant to laboratory research.
Application Process: In order to be considered, applicants must upload a CV or resume, and cover letter (under submission relevant materials) that clearly address how they meet the listed required and desired qualifications of this position.
Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended. Successful candidates will be subject to a credential and criminal background check. This position is not eligible for University sponsorship for employment authorization. Professional references will be requested at a later step in the recruitment process.
For additional questions, please contact Anne Beyerink at anne-phillips@uiowa.edu.
Similar jobs
No similar jobs found
© 2026 Qureos. All rights reserved.