Associate Research Scientist

The Prives Lab in Department of Biological Sciences is seeking an Associate Research Scientist. The incumbent should have a full set of experimental skills with human cancer cell lines, including cell culture protocols, protein analyses, RT PCR and cell death assays. In addition, the applicant will be trained in computational biology using patient derived datasets with a focus on p53 signaling, long non-coding RNAs and generation of classifiers for cancer diagnostic purposes.

The responsibilities of this position will include:

• Analysis of complex, multi-omics datasets such as The Cancer Genome Atlas (TCGA), which is one of the largest repositories of data from cancer patients.
• Identification of potential biomarkers associated with patient survival and response to therapy.
• Comprehensive characterization of genes that are mutated or otherwise altered in cancers in a mutually exclusive manner with TP53, which is the most frequently mutated gene across cancers.
• Mentoring students and colleagues on projects that require sophisticated statistical analysis.
• Working closely with collaborators, including on multi-institutional program project grants, for statistical validation of datasets.
• Experimental verification of in silico results utilizing in vitro and in vivo methods involving cell culture, cell viability assays, gene expression analysis through Quantitative Polymerase Chain Reaction (Q-PCR), protein expression analysis using immunoblotting, cell cycle assays with flow cytometry among others.
• Preparing reports for grant submissions and drafting manuscripts detailing the results of studies for publication.

PhD in biological sciences.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.