Faculty All Ranks (Tenured Track/Tenured)

The Program for Mathematical Genomics at Columbia University in New York City invites outstanding candidates to apply for tenure track/tenured faculty positions at the level of Assistant Professor or higher rank. This new program seeks individuals with exceptional accomplishments and abilities in broad areas of mathematical methods development with applications to biological problems and, in particular, in the area of genomics. The successful candidate will join a friendly, highly collaborative faculty and will have access to superb resources. We seek faculty members with a strong commitment to research, mentoring, and teaching, fostering a climate that embraces both excellence and diversity. 

Applicants must have a PhD in any quantitative discipline, active research in quantitative approaches to biological problems, with particular emphasis in genomics, and must demonstrate the ability to develop a creative independent research program. Applications should be submitted to Sophie Thuault-Restituito (email: st3090@cumc.columbia.edu ) and online , and must include a cover letter, curriculum vitae, and a three-page summary of current and proposed research. We also require three letters of recommendation. For full consideration, all materials must be received by December 15, 2018

Job posting in Nature .

Postdoctoral Research Scientist (Computational Microbiome Analysis, Modeling and Inference)

The Korem Lab , directed by Tal Korem, PhD, is seeking a talented and motivated postdoctoral researcher who is looking to work in a creative and collaborative environment on new algorithmic approaches for inferring the activity and dynamics of the human microbiome and other microbial communities.

The Korem Lab aims to obtain a mechanistic and actionable understanding of the microbiome’s role in human health and disease, using machine learning, metabolic modeling, and network inference. As part of the Program for Mathematical Genomics and the Departments of Systems Biology and Obstetrics & Gynecology, we operate in an engaging and multi-disciplinary environment consisting of computational biologists, applied mathematicians, statisticians, physicists, and physicians. Working at the intersection between computational biology and medicine, the lab develops algorithms and computational methods that aim to understand microbial growth, activity, and metabolite production, and proceeds to apply these methodologies as the basis for clinical inquiries in diverse settings.

Applicants must have a PhD in any quantitative science (statistics, computer science, physics or similar fields) or in life sciences with a strong computational background. (Post-docs will acquire any missing domain or biological knowledge with us). Experience with assembly algorithms, flux balance analysis, or network inference is valued but not required. Strong candiates will have excellent communication and organizational skills. For inquiries, email tk2829@cumc.columbia.edu . Columbia University is an affirmative action/equal opportunity employer and encourages applications from women and underrepresented minorities.