Staff Associate I

Columbia University
United States, New York, New York
535 West 116th Street (Show on map)
Mar 28, 2025
The Staff Associate I in the AlQuraishi Lab will be assisting computational scientists in designing algorithms for designing new proteins and predicting the function of proteins using deep learning algorithms operating on the structure of proteins and biomolecules. Duties 50%: Contribute to the design of machine learning algorithms for protein design and function 50%: Contribute to the curation of datasets for performing machine learning Functional Knowledge Use of lab-specific computational tools and pipelines for machine learning Data analysis and applied machine learning tools Basic knowledge of Bioinformatics and Protein Biology Problem Solving * Advanced computational problem-solving abilities, proactive, task-oriented * Ability to understand research questions and apply proposed solutions, including application of quantitative frameworks to generate quantitative solutions Decision Making/Autonomy (Must equal 10) Level of supervision required, on a scale of 1 (least) to 10 (most) - #3 Degree of independent judgment expected, on a scale of 1 (least) to 10 (most) - #7 Leadership To be able to effectively plan activities, dividing complex projects into specific tasks To work effectively and collaboratively with a highly multidisciplinary team To be able to cooperate effectively with experts from diverse scientific backgrounds, including life scientists, physicists, computer scientists and engineers Technical Expertise Computer languages and environments: Python, PyTorch Understanding of commonly used computational pipelines developed for protein analysis Ability to generate machine learning algorithms using PyTorch Ability to perform data analysis in the context of protein structure and design Bachelor's degree in computational biology, computer science, biochemistry, or related field 1-2 years of experience in computational systems biology and machine learning Technical Expertise Computer languages and environments: Python, PyTorch Understanding of commonly used computational pipelines developed for protein analysis Ability to generate machine learning algorithms using PyTorch Ability to perform data analysis in the context of protein structure and design Communication Skills Excellent oral and written English communication Excellent communication of science-related topics, including computational biology, systems biology, protein structure and engineering Ability to present scientific research to both experts and non-experts in the 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.