Research Specialist B (Department of Neurosurgery)
Research Specialist B (Department of Neurosurgery)
University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Job Description Summary
We are seeking a highly motivated Research Specialist with experience in signal processing, machine learning, and intracranial EEG (iEEG) analysis to join our cutting-edge neuroscience research team. The successful candidate will play a key role in developing computational models and applying advanced techniques to analyze iEEG data, with the goal of identifying neural biomarkers related to brain function and neurological disorders.
Job Responsibilities:
- Develop and apply advanced signal processing techniques (e.g., Fourier Transform, wavelet analysis, filtering, etc.) to extract meaningful features from iEEG signals.
- Analyze spectral data from iEEG recordings to identify patterns and features associated with specific neural activities or clinical conditions.
- Build, train, and optimize machine learning models (supervised, unsupervised, deep learning) to detect and classify biomarkers from high-dimensional iEEG data.
- Identify potential biomarkers (e.g., power spectral density, phase coherence, connectivity metrics) from intracranial spectral data and validate their relevance for various neurological of psychiatric disorders.
- Work closely with neuroscientists, clinicians, and engineers to integrate data analysis pipelines with clinical trials and experimental protocols.
- Contribute to organizing, preprocessing, and managing large-scale iEEG datasets using best practices in data science, ensuring data integrity and reproducibility.
Qualifications
Bachelor of Science and 1 to 3 years of experience or equivalent combination of education and experience is required.
Position is contingent upon continued funding.
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$50,000.00 - $58,000.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
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