New

Staff Associate II

Columbia University
United States, New York, New York
535 West 116th Street (Show on map)
Feb 07, 2026
The Abate-Shen Lab at Columbia University Irving Medical Center is seeking a Staff Associate II to provide computational biology and bioinformatics support to a large-scale cancer biology project involving analyses of mouse and human tissues via single-cell genomics and other molecular profiling technologies. The effort will involve the development and application of platform technologies for analyzing cancer samples working with a team of investigators and researchers at Columbia University. Functional Knowledge Must have functional knowledge of and experience working with a Linunx operating system. Functional knowledge and fluency in at least one programming language (e.g. Python, R, or similar). Background in cancer biology preferred Problem Solving Works with a team to troubleshoot computational analysis Decision Making/Autonomy Level of supervision required, on a scale of 1 (least) to 10 (most)- 5 Degree of independent judgement expected, on a scale of 1 (least) to 10 (most)- 5 Technical Expertise Must have technical expertise in bioinformatics of genomic and/or transcriptomic sequencing data Communication Must have excellent written communication skills, particularly the ability to clearly record data in written form or on a computer and to write and maintain experimental protocols 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. 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.