Associate Research Scientist
The Herbert and Florence Irving Institute for Cancer Dynamics at Columbia University (IICD, cancerdynamics.columbia.edu) invites applications for Associate Research Scientist positions in the mathematical sciences, with a particular emphasis on research relating to cancer.
The IICD is an interdisciplinary institute located on the Morningside Heights campus of Columbia University and focused on the interplay between mathematics and cancer research, collaborating across disciplinary boundaries to develop tools and methods that can improve our understanding of cancer biology, origins, evolution, treatment and prevention.
The IICD invites applications from researchers who have strong research expertise using and developing mathematical and computational methods for data analysis that can contribute to any aspect of cancer research. Areas of interest include, but are not limited to, systems biology, mathematical immunology, models for tumor growth and metastasis, mathematical population genetics, phylogenetics, computer vision, machine learning, geometric and topological data analysis, probability theory and statistics.
To this end, we expect successful candidates to:
- Conduct independent, cutting-edge research (75% effort)
- Support the mission of the Institute on developing the interplay between mathematical sciences and cancer research, through contributions to outreach and training (15% effort)
- Identify and attract external funding to support their research program (10% effort)
The IICD offers a competitive salary and an inclusive, interdisciplinary environment that promotes professional and personal development of the Institute’s members. All research scientists may benefit from additional training opportunities available at the Morningside campus and the Herbert Irving Comprehensive Cancer Center. IICD also provides administrative support for grant submissions and development of collaborative research.
Candidates are expected to have a PhD in mathematics, statistics or computer science, or another STEM discipline with a strong quantitative component. STEM graduates who wish to complete their transition towards mathematical biology are strongly encouraged to apply. Candidates for Associate Research Scientist are strongly encouraged, but not required to have postdoctoral experience, but they must have a doctorate by the time they are appointed.
Minimum Qualifications
-Ph.D.
- Strong knowledge of statistics, probability or machine learning for data analysis
- A record of outstanding research, commensurate with years of professional experience, as evidenced by
publications, grants, software outputs, and other measures of impact.
Additional Information
Candidates for Professional Officer of Research positions are expected to have established their ability to conduct original, independent scientific research. To hold the associate research scientist rank, candidates’ qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all Professional Officer of Research positions are expected to be able to work well in teams and to communicate effectively the results of their research or research activities both orally and in writing.
Application: academic.careers.columbia.edu/#/84326
Candidates are expected to have a PhD in mathematics, statistics or computer science, or another STEM discipline with a strong quantitative component. STEM graduates who wish to complete their transition towards mathematical biology are strongly encouraged to apply. Candidates for Associate Research Scientist are strongly encouraged, but not required to have postdoctoral experience, but they must have a doctorate by the time they are appointed.
Minimum Qualifications
-Ph.D.
- Strong knowledge of statistics, probability or machine learning for data analysis
- A record of outstanding research, commensurate with years of professional experience, as evidenced by
publications, grants, software outputs, and other measures of impact.
Apply online. Application: academic.careers.columbia.edu/#/84326