"Staff Associate II"

The Bussemaker Lab is seeking a Staff Associate II to implement computational infrastructure that enables the deployment of machine learning algorithms developed by our group across a wide range of datasets, and to assist in interpreting the resulting analyses.

The ideal candidate must have a high degree of autonomy in programming, including developing new code to automate algorithm deployment, as well as interpreting and visualizing results. While the position requires strong computational skills and independence, the candidate will receive substantial scientific training and guidance, particularly during the initial stages of the project. The Staff Associate II will work closely with a senior PhD student in the lab who is deeply familiar with the project.

Bachelor's degree in a relevant field such as Computer Science, Engineering or a similar field.

Masters degree in Computer Science or Engineering preferred.

All applications must be made through Columbia University’s Academic Search and Recruiting (ASR) system. Please upload the following required material: curriculum vitae.

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.