Research Assistant (TEMPORARY - part-time, 17.5 hours/week)

Brigham Young University • Provo, UT

18h

About The Position

We are seeking a motivated and detail-oriented Single-Cell RNA-seq Data Analyst to support the analysis and publication of high-throughput transcriptomic data. This role focuses on processing, analyzing, and interpreting single-cell RNA sequencing (scRNA-seq) datasets and contributing to scientific manuscripts.

Requirements

• A firm commitment to the mission of BYU.
• Proficiency in Python and R programming
• Experience with single-cell RNA-seq data analysis (e.g., Seurat, Scanpy, or similar tools)
• Strong understanding of basic statistical concepts (e.g., hypothesis testing, distributions, regression)
• Experience with data visualization and interpretation
• Ability to work independently and manage analysis workflows

Nice To Haves

• Background in bioinformatics, computational biology, or related field
• Experience with high-performance computing or cloud environments
• Familiarity with version control (e.g., Git)
• Previous involvement in scientific publications

Responsibilities

• Perform quality control, preprocessing, and analysis of scRNA-seq datasets
• Implement and optimize analysis pipelines using Python and R
• Conduct statistical analyses to support biological interpretations
• Visualize and communicate results clearly through figures and reports
• Collaborate with researchers to interpret findings and refine analyses
• Contribute to writing and preparation of scientific publications

Benefits

• Employee assistance program, available to the employee and all members of their household
• Access to the library
• Free on-campus parking
• Free UTA pass
• Discounts at the BYU Store and for many events at BYU

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed