Faculty All Ranks (Tenured Track/Tenured)

The Program for Mathematical Genomics in the Department of Systems Biology 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 quantitative biology, including but not limited to systems biology (data-driven and model/theory-based), mathematical and theoretical biology, machine learning, functional genomics, dynamical systems modeling, molecular and single-cell biology, and methods development for the analysis and understanding of biological datasets and their associated phenomena. 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 Ph.D. in any quantitative discipline, active research in quantitative approaches to biological problems, and must demonstrate the ability to develop a creative independent research program. Applicants should include a cover letter, curriculum vitae, and three-page summary/statement of current and proposed research. We also require three letters of recommendation. Send required documents to pr2470@cumc.columbia.edu. All position are open until filled.

Columbia University is an affirmative action/equal opportunity employer and encourages applications from women and underrepresented minorities.

Postdoctoral Research Scientist in Genomics and Mathematical Modeling

Columbia University Medical Center The Program for Mathematical Genomics group (https://systemsbiology.columbia.edu/the-program-for-mathematical-genomics) is a cross campus interdisciplinary effort that brings together evolutionary biologists, computer scientists, physicists and mathematicians, to uncover the structure of genomic data and to study the maps that link genotype to phenotype. It constitutes a space for the free exchange of ideas and methods of quantitative minded scientists with a goal to provide a quantitative understanding of biological systems. We collaborate with clinicians and public health researchers from around the world to explore several disease systems, including the genetics and epidemiology of infectious diseases and cancer, as well as modeling microbial metabolism, and protein structure and function prediction based on large scale machine learning. We are building a vibrant community of researchers who use insights and techniques to solve pressing biomedical problems.

We are now seeking postdoctoral researchers to join a creative team in a collaborative environment developing mathematical techniques for the analysis of high-dimensional, high-throughput sequencing and biological data.

Candidate qualifications include:

● PhD degree in any quantitative science (preferably mathematics, computer science, physics, astrophysics, computational biology, statistics, or engineering) is required.

● Expertise in high-throughput sequencing technologies is highly valued.

● Experience with clinical data from large biobanks is also highly valued.

● Candidates should have a working knowledge of programming (Python, R, Java or C++) and statistical analysis with demonstrated experience in problem solving.

● Practical knowledge of algorithms and databases is required.

● Excellent organizational and communication skills are a must.

Applications are open until all positions are filled.

Application Process: Please apply (https://pa334.peopleadmin.com/postings/6503) or send the following to pr2470@cumc.columbia.edu.

● Cover letter

● CV

● Names and contact information for three references

Columbia University is an affirmative action/equal opportunity employer and encourages applications from women and underrepresented minorities.