Research Associate

University of British ColumbiaVancouver, BC
CA$6,344Onsite

About The Position

The Pacific Parkinson's Research Centre (PPRC) is dedicated to the clinical treatment and research related to Parkinson's disease. We are seeking a Research Associate with expertise in Electroencephalogram (EEG) analysis, signal processing, and quantitative neuroscience to support ongoing research programs focused on Parkinson’s disease and related movement disorders.

Requirements

  • A Ph.D. in computer science, statistics, physics, electrical engineering, neuroscience, or a related field, plus a minimum of 10 years of experience or the equivalent combination of education and experience.
  • Strong expertise in signal processing, quantitative analysis and machine learning.
  • Proficiency in programming languages such as Python, R, and MATLAB is essential.
  • Experience working with big databases and have completed requirements to all PHSA pre-requisitions for working with human data.
  • Strong problem‑solving skills: Ability to identify critical scientific questions in the health sector and apply appropriate analytical methods to address them.
  • Strong communication and collaboration skills: Must be able to communicate effectively with researchers, clinicians, and interdisciplinary teams.
  • Leadership skills: Experience mentoring junior researchers and contributing to team‑based scientific environments. Must display advanced organizational and administrative skills.
  • Must have experience with / or been responsible for data analyses, writing of manuscripts, preparation of figures, and publication of data, as demonstrated in candidates' publications.
  • Must have good interpersonal skills, be motivated, adaptable to a changing work environment and be energetic with a solid work ethic.
  • Project management: Ability to plan, organize, and manage multiple research projects effectively.
  • Flexibility and adaptability: Ability to adopt new research methods, technologies, and analytical approaches as needed.
  • Continuous learning: Must be inquisitive and eager to learn new skills and knowledge to stay current in their field and improve their research skills.

Nice To Haves

  • Experience in health‑related research or clinical neuroscience is an asset.

Responsibilities

  • Developing and implementing advanced neurophysiological signal‑processing and computational models to analyze EEG data and extract clinically meaningful biomarkers related to neurological disorders.
  • Conduct research on EEG preprocessing, artifact removal, and denoising to improve data quality.
  • Develop and implement advanced algorithms for analyzing neurophysiological signals and extracting clinically meaningful biomarkers.
  • Apply advanced EEG analysis methods to study neural responses during electrical brain stimulation, including expertise in Galvanic Vestibular Stimulation (GVS) and the characterization of EEG dynamics under stimulation protocols.
  • Integrate computational modeling and machine learning approaches to enable robust biomarker discovery, validation, and evaluation of disease‑related neural changes.
  • Apply comprehensive EEG signal‑processing frameworks to characterize neural dynamics and quantify disease‑related alterations in patient populations.
  • Design and conduct experiments in collaboration with interdisciplinary teams; support data collection and analysis.
  • Prepare and present research findings at scientific conferences, workshops, and academic meetings.
  • Contribute to peer‑reviewed publications, technical reports, and grant proposals.
  • Participate in dissemination activities, including tutorials, training sessions, and collaborative workshops.
  • Stay current with advancements in EEG signal processing, computational neuroscience, and related technologies.
  • Mentor junior researchers and support lab operations as needed.
  • Perform other research-related duties as assigned

Benefits

  • The expected pay for this position is $6,344/mon.
  • The expected pay for this full-time position is $76,128 per year.
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