Undergraduate Research Assistant

Duties and Responsibilities: 
60% - Data Preprocessing: annotation and standardization of raw clinical data following the OMOP Data Model 
25% - Model Development and Training: work with research team to develop Python scripts train natural language processing, and foundational models for progressing epilepsy research 
10% - Model Evaluation: work with research team to fine-tune the machine learning model based on model performance 
5% - Progress Reports: attend weekly or bi-weekly team meetings, provide written weekly updates, document completed work 
 

Required Qualifications:
-Registered UMN undergraduate student
-Familiarity with the OMOP Common Data Model
-Experience with Python programming language, and familiarity with machine learning libraries such as Scikit-learn, PyTorch, and TensorFlow
-Academic background and/or work experience in data science, computer science, biomedical engineering, neuroscience, or a related field
-Must be able to work 10-20 hours per week

Preferred Qualifications:
-Has experience in data work, research, and/or programming within or adjacent to clinical research or healthcare
-Comfortable with detailed and repetitive work
-Comfortable working independently and with a team
-Reliable and consistently meets deadlines
-Excellent written and verbal communication
-Willing to learn new technical tools

The Epilepsy Institute is a first-of-its-kind institute created to change the trajectory of epilepsy itself. By uniting precision care, personalized therapies, and preventive neuroscience within a single bold mission, the Institute will transform how epilepsy is treated today and redefine what is possible tomorrow. It will serve as a global home for discovery, innovation, and education – where clinical insight fuels scientific breakthroughs, and breakthroughs rapidly return to patients. 

The Epilepsy Institute in the Department of Neurology is seeking a motivated Undergraduate Research Assistant to support computational clinical research, data standardization, and machine learning initiatives. Working closely with our research team, the assistant will support the development of data pipelines and predictive models aimed at advancing epilepsy research and improving patient care.

Pay Range: $15.25 - $16.25 per hour; depending on education/qualifications/experience

Please visit the Office of Student Health Benefits website for more information regarding benefit eligibility.
 

Student workers are eligible to participate in the Student Health Benefit Plan, if they maintain 6 or more eligible course credits within a given semester. The same applies for Undergraduate Students, Graduate Assistants, Residents, Fellows and Interns.

Student positions are a form of financial support while pursuing an education at the University of Minnesota.

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will have the opportunity to complete an online application for the position and attach a resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail [email protected].

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