Edtech.com's Summary

Columbia University is hiring a Machine Learning Scientist for the AlQuraishi Lab within the Departments of Systems Biology and Computer Science. The role involves designing and training advanced neural network architectures focused on biomolecular systems and drug discovery, collaborating with experimental partners, and contributing to consortia like OpenFold, AISB, and OpenBind.

Highlights

Develop and train neural network models for protein-ligand, protein-protein, and antibody-antigen structures and affinities.
Design active learning algorithms and direct large-scale biomolecular data acquisition experiments.
Investigate scaling laws and curate datasets, including for federated training applications.
Write code, run experiments, analyze results, and publish findings to engage with the scientific community.
Collaborate closely with lab members and external academic and industry partners across multiple consortia.
Proficiency in Python programming is required.
Minimum qualifications include a Master's degree in computer science, machine learning, computational biology, or related quantitative fields plus five years experience, or equivalent.
Preferred qualifications include a Ph.D., extensive machine learning expertise, and strong communication and teamwork skills.
The position is full-time with a salary range of $155,000 to $230,000.
Work within the Vagelos College of Physicians & Surgeons at Columbia University.

Machine Learning Scientist Full Description

Job Type: Officer of Administration
Bargaining Unit:
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35
Standard Work Schedule:
Building:
Salary Range: $155,000-$230,000

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.

Position Summary

The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models for biomolecular systems and drug discovery. Projects span development and training of new neural network architectures, design of active learning experiments in conjunction with experimental collaborators, derivation of scaling laws for biomolecular systems, and other topics. All projects involve interactions with team members in the AlQuraishi lab as well as academic and industry partners in three major consortia: OpenFold, AISB (AI Structural Biology Network), and OpenBind.

Responsibilities

High-level (dependent on specific scientific project):

Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
Devise experiments to understand scaling behavior of biomolecular models.
Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.

Day-to-day:

Develop new ideas, write code, run experiments, analyze data, and prepare reports.
Be an active member of one or more highly collaborative teams.
Stay current with the ultrafast-paced nature of biomolecular machine learning.
Maintain and enhance external visibility through publishing papers, writing open-source code, and engaging with the scientific community.

Minimum Qualifications

M.S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience.

Preferred Qualifications

Ph.D. in computer science / machine learning, computational biology, or related quantitative fields.
Extensive machine learning experience, including design, training, and deployment of complex neural architectures.
Extensive programming experience in Python.
Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively in cross-functional teams.

Other Requirements

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

Original Job Description

Job Type: Officer of Administration
Bargaining Unit:
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35
Standard Work Schedule:
Building:
Salary Range: $155,000-$230,000

Position Summary

Responsibilities

High-level (dependent on specific scientific project):

Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
Devise experiments to understand scaling behavior of biomolecular models.
Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.

Day-to-day:

Develop new ideas, write code, run experiments, analyze data, and prepare reports.
Be an active member of one or more highly collaborative teams.
Stay current with the ultrafast-paced nature of biomolecular machine learning.
Maintain and enhance external visibility through publishing papers, writing open-source code, and engaging with the scientific community.

Minimum Qualifications

M.S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience.

Preferred Qualifications

Ph.D. in computer science / machine learning, computational biology, or related quantitative fields.
Extensive machine learning experience, including design, training, and deployment of complex neural architectures.
Extensive programming experience in Python.
Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively in cross-functional teams.

Other Requirements

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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