About the role
Campus
OSU-Center for Health Sciences
Contact Name & Email
Jamie Childers, Jamie.Childers@okstate.edu
Work Schedule
Typically Monday - Friday, 8 hour shifts
Appointment Length
Regular Continuous/Until Further Notice
Hiring Range
Salary
Priority Application Date
While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.
Special Instructions to Applicants
For full consideration, please include a resume or CV, cover letter and contact information for three professional references
About this Position
The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.
Key Responsibilities
- Conduct quantitative analyses using Python and/or R
- Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
- Support development and deployment of behavioral tasks (online and in-person)
- Assist with neuroimaging and behavioral data workflows
- Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility
Required Qualifications
- Master's
- Master’s degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
- (degree must be conferred on or before agreed upon start date)
- Experience with quantitative data analysis (Python and/or R)
- Experience working with research data or regulated datasets
- Certifications, Registrations, and/or Licenses:
- Skills, Proficiencies, and/or Knowledge:
- Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
- Strong organizational and communication skills
Preferred Qualifications
- Ph.D. degree
- Ph.D. degree in a relevant field
- Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
- Certifications, Registrations, and/or Licenses:
- Skills, Proficiencies, and/or Knowledge:
- Familiarity with Unix/Linux environments