Faculty All Ranks [Tenured Track/Tenured], Program for Mathematical Genomics

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 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 Ph.D. 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 online through the RAPS website. 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. Completed applications will be reviewed starting November 1, 2019.

Postdoctoral Research Scientist

Columbia University’s Department of Systems Biology is seeking a qualified candidate for a Postdoctoral Research Scientist (computational) position in Dr. Andrea Califano’s laboratory. Candidates should have outstanding scientific credentials, including first-author publications in journals relevant to the field of systems biology, and conference presentations. Candidates possessing a strong computational background combined with a good understanding of molecular biology will be especially well suited to fill this position, including background in machine learning, physics, mathematics, and related sciences. In addition, the optimal candidate will have significant experience and publications in network-based biology, including the reverse engineering and/or use of regulatory/signaling networks to elucidate the molecular determinants of specific cellular phenotypes and associated mechanisms for follow-up experimental validation.

Integration of quantitative analysis, high-throughput experimentation, and technology development is the hallmark of systems biology at Columbia. As such, the Postdoctoral Research Scientist will work collaboratively on multidisciplinary teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic phenotypes; and develop new methods and technologies for elucidating biological mechanisms at the systems level. For more information about this position and to apply, visit Jobs at Columbia, requisition number 00001054.

Associate Research Scientist

Columbia University’s Department of Systems Biology is seeking a qualified candidate for a senior level research position of Associate Research Scientist (computational) in Dr. Andrea Califano’s laboratory. Candidates should have outstanding scientific and postdoctoral credentials, including first-author publications in journals relevant to the field of systems biology, and conference presentations. Candidates possessing a strong computational background combined with a good understanding of molecular biology will be especially well suited to fill this position, including background in machine learning, physics, mathematics, and related sciences. In addition, the optimal candidate will have significant experience and publications in network-based biology, including the reverse engineering and/or use of regulatory/signaling networks to elucidate the molecular determinants of specific cellular phenotypes and associated mechanisms for follow-up experimental validation.

The Associate Research Scientist will work collaboratively on multidisciplinary teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic phenotypes; and develop new methods and technologies for elucidating biological mechanisms at the systems level. For more information about this position and to apply, visit Jobs at Columbia, requisition number 00001055.