The University of Pittsburgh, Department of Neurological Surgery is hiring for a Temporary Researcher, Quantitative EEG and Machine Learning
The Temporary Researcher will support research activities focused on quantitative analysis of intraoperative electroencephalography (EEG) data obtained during cardiac surgery. Responsibilities include preprocessing and quality assessment of EEG recordings; extraction of quantitative EEG features; statistical analysis of physiologic and clinical datasets; development, implementation, and evaluation of machine learning models for prediction of neurologic and perioperative outcomes; integration of EEG-derived biomarkers with clinical variables; preparation of data summaries, figures, and reports; and contribution to manuscript and grant preparation. The researcher will work closely with the investigative team to ensure reproducible analytical workflows and compliance with institutional data management and regulatory requirements.
Required Qualifications:
· PhD in Biomedical Engineering, Neuroscience, Computer Science, Data Science, Biostatistics, or a related field.
· Experience with EEG signal processing and quantitative EEG analysis.
· Proficiency in Python, R, MATLAB, or equivalent analytical software.
· Experience developing and validating machine learning algorithms for biomedical data.
Minimum education to be considered for this position is a PhD Biomedical Engineering, Neuroscience, Computer Science, Data Science, Biostatistics, or a related field.
Interested candidates, please go to Home | Talent Center: Careers at Pitt | University of Pittsburgh and use requisition #26006047 to apply for this position.
The University of Pittsburgh is an Affirmative Action/ Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity, EOE, including disability/vets.
Required Qualifications:
· PhD in Biomedical Engineering, Neuroscience, Computer Science, Data Science, Biostatistics, or a related field.
· Experience with EEG signal processing and quantitative EEG analysis.
· Proficiency in Python, R, MATLAB, or equivalent analytical software.
· Experience developing and validating machine learning algorithms for biomedical data.
*!
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Job Details
Job Description: All Temps, Pennsylvania-Pittsburgh
Department: Med-Neurological Surgery
Campus: Pittsburgh
Minimum Education Level Required: Professional Doctorate Degree
Minimum Years of Experience Required: 1
Average number of working hours per week for this assignment: 37.5
Work Schedule: M-F 8:30am - 5:00pm
Is there a potential this assignment will result in a regular Staff position?: No
Work Arrangement: Remote: Teams working from different locations (off-campus).
Requested Pay Rate: 50
Visa Sponsorship Provided: No
Background Check: For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances: Not Applicable
Required Documents: Resume
PhD in Biomedical Engineering, Neuroscience, Computer Science, Data Science, Biostatistics, or related field; experience with EEG signal processing and quantitative EEG analysis; proficiency in Python, R, MATLAB; experience developing and validating machine learning algorithms for biomedical data.
Key Responsibilities
- analyzing EEG data
- developing machine learning models
- preparing research reports
Skills & Tools
Python, R, MATLAB
Job Details
- Category: Research and Development (R&D)
- Seniority: Entry Level
- Commitment: Full Time, Temporary
- Workplace: Remote — Pittsburgh, Pennsylvania, United States
- Salary: USD 104,000 – 104,000 / year
- Languages: English
About University of Pittsburgh
A public research university in Pittsburgh, Pennsylvania. — Industry: Education