The Department of Neurological Surgery at Northwestern University Feinberg School of Medicine is seeking a faculty candidate 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.
Research Objectives: Develop machine learning algorithms to direct biomedical experiments, integrate knowledge from multiple biomedical data modalities to obtain a coherent understanding, collaborate with medical researchers to design experiments and analysis approaches.
Benefits: Competitive salary commensurable with experience; travel, computer, and relocation funds; and interdisciplinary research environment.
Interested applicants must send a current curriculum vitae, a cover letter containing a short summary of research experience and aspirations, and names and contact information for at least three professional references to Maciej Lesniak, MD Professor and Chair, Department of Neurosurgery, Northwestern Medicine (email@example.com) Position opened until filled.
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.