Staff Associate II

Columbia University Irving Medical Center

630 West 168th Street
New York , NY 10032
United States

$80,000-$90,000

The Abate-Shen Lab at Columbia University Irving Medical Center is seeking a Staff Associate II to provide computational biology and bioinformatics support for a large-scale cancer biology project involving the analysis of mouse and human tissues using single-cell genomics and other molecular profiling technologies. This role will support the development and application of platform technologies for analyzing cancer samples in collaboration with a team of investigators and researchers at Columbia University.

The successful candidate must have functional knowledge of and experience working with a Linux operating system, as well as fluency in at least one programming language such as Python or R; a background in cancer biology is preferred. In this position, the Staff Associate II will work collaboratively with team members to troubleshoot computational analyses and is expected to operate with a moderate level of supervision and independent judgment.

The role requires technical expertise in the bioinformatic analysis of genomic and/or transcriptomic sequencing data, along with excellent written communication skills, including the ability to clearly document data electronically and develop and maintain experimental protocols. Qualified candidates should hold a Bachelor’s degree in biology, chemistry, physics, mathematics, engineering, bioinformatics, computer science, or a related field, along with at least two years of relevant experience, or a Master’s degree in a related discipline.

Experience with bioinformatic analysis of genomic and/or transcriptomic sequencing data, working in a Linux environment, and proficiency in a high-level programming language such as Python or R is required, and a basic knowledge of cancer biology is strongly preferred.

Bachelor's degree in biology, chemistry, physics, math, engineering, bioinformatics, computer science or a related field. Experience with bioinformatic analysis of genomic and/or transcriptomic sequencing data;
Experience working with a Linux operating system;
Experience working with and fluency in at least one high-level programming language (e.g. Python, R, or similar); basic knowledge of cancer biology. BA plus two years experience, or Masters degree in a related field.