Skip to main content

Postdoctoral Training Opportunity - Data Science in Acute Neurology and Neurosurgery

There is an opportunity for a postdoctoral trainee to join an R01-funded project on intracranial hemorrhage - the deadliest form of stroke. The lab is broadly interested in clinical and translational research, particularly using machine learning and deep learning approaches to data-intensive tasks. Active projects include using deep learning of neuroimaging data to predict growth of brain hematomas, deep learning of electroencephalography data to predict seizures, machine learning to predict patient outcomes, analysis of hemostasis/coagulopathy, network analytics among clinicians, and other topics.

The successful candidate will have a track record of independence and will have the opportunity to author first-author publications, co-author grant applications, and build a body of work. 

Minimum Qualifications

  • PhD in a quantitative field (e.g., statistics, bioinformatics, computer science)

 Required Competencies

  • Established proficiency using R, Python, or similar language

Preferred Competencies

  • Established proficiency using imaging (e.g., DICOM), electroencephalography (EEG), and other quantitative data sources
  • Track record in large data sets and health services research
  • Established proficiency in electronic health records
  • Excellent written communication
  • Excellent data visualization skills

Application Instructions

Interested applicants should send a cover letter with a summary of work to date, a CV, and names of three potential references to Andrew Naidech at 

More information about Andrew and the lab is available at his faculty profile and laboratory website.


Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, underrepresented racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.