Postdoctoral research scientist positions in computational cancer biology at Columbia University
The Nowicki-Osuch lab at the Herbert and Florence Irving Institute for Cancer Dynamics at Columbia University is seeking motivated and independent postdoctoral research scientists with a background in any of the following: computational biology, statistics, data science, bioinformatics, molecular biology, cancer biology, or genomics. Willingness to learn and develop new approaches is a must. We are also welcoming applications from candidates with limited experience in computational biology but an excellent grasp of single-cell RNA and DNA sequencing methods and cancer biology.
The position is supported by a collaborative grant between Columbia University Irving Medical Center, New York Genome Center, and Irving Institute for Cancer Dynamics. The prospective candidate will be embedded into the Irving Institute for Cancer Dynamics Postdoctoral Program and will have an opportunity to work alongside basic and computational scientists based at each of the collaborative institutions. The projects will focus on a detailed single-cell sequencing-based assessment of the initial steps in gastric and esophageal cancer development. We will use new animal models and primary human samples and we will generate single-cell RNA-seq, ATAC-seq, DNA-seq, and spatial transcriptomics data. Over the course of the post, you will have a chance to develop novel methods for data integration and analysis and influence the design of individual experiments.
Minimum Degree Required: PhD in Mathematics, Molecular Biology, Computer Science, Machine Learning, Bioinformatics, Statistics, Computational Biology, or other relevant fields.
Minimum Qualifications: We are particularly interested in applicants with strong backgrounds in the mathematical and computational sciences, biology, and genomic technologies. While prior exposure to cancer research would be an advantage, the choice of successful candidates will be based on their prior ability to work independently and to tight deadlines.
Additional Information: Successful candidates will receive a competitive salary package and research support to be used towards travel, the purchase of a computer, and other research-related expenses.
- Strong track record of independent research in a multidisciplinary team
- Publication record in computational, cancer, or molecular biology
- Experience in analyzing RNA-seq. WGS, ATAC-seq, or their single-cell counterparts
- Strong interest in applications of machine learning in cancer biology or immunology
- Strong programming skills in python, R or MATLAB
Candidates should provide:
- CV (NIH format biosketch is preferred)
- A cover letter explaining the motivation for applying to this position
- Contact information for a minimum of three professional work references
The application should be sent to email@example.com quoting reference: GC2022-01
For informal enquires please contact Karol Nowicki-Osuch at firstname.lastname@example.org
Columbia University is an Affirmative Action/Equal Opportunity employer. Columbia values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.