"Research Assistant"

Job Details

Title: Research Assistant

Department Org: Medicine - 107570

Employee Classification: J2 - Salaried Part Time HSC

Bargaining Unit: Professional Staff Association

Primary Location: HSC C

Shift: 1

Job Description:

The Research Assistant will support all research activities involving machine learning (ML) and artificial intelligence (AI) within the cardiology lab, focusing on the development and application of data-driven methods to biomedical and healthcare data. This position is essential for advancing AI-based methods in clinical research, improving predictive models, and supporting grant applications and publications. The Research Assistant will manage AI pipelines, conduct data analysis, prepare research outputs, and collaborate with internal and external research partners.

Minimum Qualifications:

Education/experience/licensing:
• Bachelor’s degree in Computer Science, Data Science, Biomedical Informatics, Engineering, or a related discipline required.
• Minimum one year of experience applying AI/ML techniques, preferably in a healthcare or research setting.
• Experience with AI models for structured, imaging, or unstructured data preferred.

Required Skills:
• Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch).
• Knowledge of statistical modeling, machine learning, and data visualization.
• Familiarity with version control (Git).
• Experience managing large datasets and conducting data cleaning and analysis.
• Ability to work independently and collaboratively within an interdisciplinary team.
• Strong written and verbal communication skills.

Preferred Qualifications:

Preferred Skills:
• Experience with electronic health records (EHR) data, omics data, or imaging data.
• Knowledge of data governance, HIPAA, or IRB protocols.
• Experience with cloud-based AI computing (AWS, GCP, or Azure).
• Familiarity with deep learning techniques and frameworks.

Conditions of Employment:

To promote the highest levels of health and well-being, the University of Toledo campuses are tobacco-free. To further this effort, the University of Toledo Health Science Campus Medical Center is requiring candidates for employment to be nicotine-free. Pre-employment health screening requirements will include cotinine (nicotine) testing, as well as drug and other required health screenings for the position. With the exception of positions within University of Toledo Main Campus and the University of Toledo College of Medicine and Life Sciences, the employment offer is conditional upon successful completion of a cotinine test and Occupational Health clearance.

Equal Employment Opportunity Statement:

The University of Toledo is an equal opportunity employer. The University of Toledo does not discriminate in employment, educational programs, or activities on the basis of race, color, religion, sex, age, ancestry, national origin, sexual orientation, gender identity and expression, military or veteran status, disability, familial status, or political affiliation. The University is dedicated to attracting and retaining the best and brightest talent and fostering a culture of respect. The University of Toledo provides reasonable accommodation to individuals with disabilities. If you require accommodation to complete this application, or for testing or interviewing, please contact HR Compliance at hrcompliance@utoledo.edu or 419-530-4747 between the hours of 8:30 a.m. and 5 p.m. or apply online for an accommodation request.

Advertised: 02 Oct 2025 Eastern Daylight Time
Applications close: 19 Oct 2025 Eastern Daylight Time