Associate Research Scientist

The PHICI Lab in the Department of Neurology at Columbia University Medical Center invites applications for the position of Associate Research Scientist. We are seeking a candidate with a Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Biomedical Informatics (Computational) or a related discipline who possesses strong computational and analytical expertise, demonstrated healthcare experience or interest, and a record of independent research productivity.

The laboratory's mission is to derive actionable information from healthcare data to improve efficiency and quality of care in hospitalized or critically ill patients. Using physiologic monitoring devices and digitized patient data, we implement statistical and machine learning decision support tools to detect physiological state changes and identify opportunities for early intervention to change outcome.

The successful applicant will work with diverse data streams, including (but not limited to) electroencephalography, intracranial pressure waveforms, thermodilution-derived cerebral blood flow, cerebral microdialysis, cardiopulmonary vital signs, brain imaging and unstructured text datasets. This position offers opportunities to support research projects, mentor trainees, collaborate across multidisciplinary teams, and contribute to both methodological and translational aspects of ongoing clinical studies.

Key Responsibilities

• Develop, implement, and apply computational methods for processing and analyzing high-resolution physiological and imaging data.
• Design and execute research projects that integrate multimodal data streams to derive new physiological insights.
• Implement real-time processing algorithms.
• Manage and analyze data stored in different formats, HDF5, compressed binary files, and MS SQL databases and others
• Provide mentorship and guidance to postdoctoral fellows, graduate students, and research assistants.
• Collaborate with principal investigators, clinicians, and data scientists on translational and clinical research studies.

Required:

• Ph.D. in Biomedical Engineering, Computer Science, Electrical Engineering, Biomedical Informatics (Computational), Data Science or a closely related field.
• Demonstrated expertise in Python and SQL for data analysis, algorithm development, and visualization.
• Experience with large-scale physiological or biomedical datasets, including real-time and archived data sources.
• Strong background in signal processing, time-series analysis, or image processing.
• Strong background in statistical and machine learning methods.
• Proven ability to supervise and mentor junior researchers.

Preferred:

• Experience with working cluster environments.
• Experience working with neurophysiologic and cardiopulmonary monitoring data.
• Experience with deep learning architectures.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.