The Department of Neurological Surgery at Northwestern University Feinberg School of Medicine seeks a full-time tenure track Investigator at the rank of Assistant Professor interested in the interface of bioinformatics, machine learning, and the medical sciences. As the acquisition of biomedical data has become increasingly scalable, the challenge has shifted from obtaining data to identifying relevant data and analyzing and interpreting it relative to the existing corpus of research. Often data is collected across multiple modalities including various imaging and ‘omics platforms, each with its own associated databases. Our goal is to develop tools that leverage the multilayered nature of the data to establish relationships between modalities and direct experiments using machine learning.
Qualifications: Ph. D. in Biophysics/Physics, Applied Mathematics, Computer Science, Statistics, Quantitative/Computational Biology, or related field. Strong background in statistics, experience implementing machine learning algorithms, and demonstrated ability to extract datasets from publicly available sources. Experience building analysis pipelines for ‘omics data. Fluency with R/Python is a plus.
The start date is negotiable and the position will remain open until filled. When applying, please upload a CV and cover letter describing your interest and alignment with the position.

Please read ALL instructions and make preparations before proceeding to the application page:

• Applications will only be accepted via online submission (see link below).
• Please prepare all documents in advance as Adobe PDF files, and please be sure all information is entered correctly and accurately (especially names and email addresses), as there will be no opportunity for online revision after your application has been submitted.
• All required fields in the application form are marked with an asterisk and must be filled before clicking the “Submit” button.
• Be aware that incomplete applications cannot be saved.

Applications accepted here: Apply for Job

Please refer the Job description for details