The University of Pittsburgh Department of Neurology is seeking a Research Engineer II.

We are seeking a highly skilled Research and Development Engineer specializing in biomedical data analysis of neurophysiological data, such as electroencephalography (EEG), stereo-electroencephalography (SEEG), and magnetoencephalography (MEG). The ideal candidate will possess strong programming capabilities, particularly in Python and MATLAB, and extensive experience in signal processing with a focus on neurophysiology.

Knowledge of software tools and frameworks commonly used in biomedical research.Prior experience with Stereoelectroencephalography, High density EEG and/or Magnetoencephalography data analysis.Experience with database management and processing large-scale neurophysiology and neuroimaging datasets.

University of Pittsburgh: University of Pittsburgh is a premier research institution with nearly 100 years of commitment to scientific and medical discovery, and education as well as translational discoveries to advance patient care. There is a concerted effort from the highest leadership positions that science is a team activity, and that research moves forward with the collective efforts of many talented individuals. The University of Pittsburgh has a faculty of almost 5000 full and part-time faculty and fosters an environment that encourages collaboration between its outstanding faculty, trainees, and staff. To accelerate the pace of research, the University of Pittsburgh has put in place a series of core facilitates to provide access to new research programs and to and enable technologies and access to specialized skills and scientific analyses. Both the University of Pittsburgh Department of Neurology and Department of Neurological Surgery stand at the forefront of excellence in neurologic care, blending a storied history with a commitment to innovation. Nestled in the heart of Oakland, Pittsburgh, the facility is a beacon of quaternary care, drawing referrals regionally, nationally, and globally. Clinical Sites at University of Pittsburgh Medical Center Presbyterian Hospital, the academic and clinical cornerstone of the UPMC enterprise, offers advanced care for patients with medically refractory epilepsy. The hospital is equipped with Magnetoencephalography (MEG) machine (TRIUXTM neo, a 306-channel neuromagnetometer equipped with ARMOR™ sensor technology), renowned worldwide Epilepsy Monitoring Unit (EMU), equipped with the latest all-digital video EEG technology in private rooms.

desired skills

Required Skills and Qualifications

Bachelor's degree or higher in Biomedical Engineering, Computer Science, or a related field.Prior professional experience in academic or industrial research settings.Proficiency in programming languages such as Python and MATLAB; R and C is a plus.Strong background in signal processing techniques, particularly in electroencephalography(EEG)/Stereoelectroencephalography(SEEG)/ Magnetoencephalography (MEG) data analysis and artifact removal.Familiarity with the software development lifecycle, including version control (e.g., Git) and collaborative coding practices (e.g., GitHub).Excellent problem-solving skills and the ability to innovate in data analysis methodologies.Effective communication skills to collaborate across interdisciplinary teams and present complex technical concepts.

Assists with designing, fabricating, and maintaining research instrumentation. Assists with the development of conceptual project design and instrumentation, software programs, and data collection methods. Assists with conducting research. Conducts laboratory procedures, develops software for analysis, and implements robotic equipment protocols. Coordinates work of students and interns.

Assists with designing, fabricating, and maintaining research instrumentation. Assists with the development of conceptual project design and instrumentation, software programs, and data collection methods. Assists with conducting research. Conducts laboratory procedures, develops software for analysis, and implements robotic equipment protocols. Coordinates work of students and interns.

Software Development:Create and enhance computational tools and frameworks.Algorithm Development:Design and implement algorithms, including machine learning models, for processing EEG/SEEG data.Data Analysis:Analyze electrophysiological data and conduct statistical evaluations.Collaboration:Work closely with researchers and clinicians to understand requirements and develop tailored software modules.Training and Support:Provide training and assistance to team members, students, and collaborators on using developed software tools and data analysis techniques.