Department Summary

Prescient Design is seeking exceptional graduate student interns with a strong research background in machine learning (ML), a passion for independent exploration, and the ability to develop and implement innovative ideas. Ideal candidates excel at conducting independent research, solving complex technical problems, and collaborating effectively within cross-functional teams.

We are particularly interested in candidates enthusiastic about fundamental research in 3D generative models. As an intern, you will gain hands-on experience training 3D deep learning generative models and working with protein datasets. You will collaborate with a team while making meaningful contributions to the challenges of drug design and discovery.

This program aims to deepen our understanding of modern generative models in 3D spaces like voxels, address their limitations, and successfully apply them to protein design. This project is significant not only as fundamental ML research but also as an impactful initiative that applies AI to science and real-world challenges. A background in biology is advantageous but not required for this role.

Our mission is to leverage cutting-edge ML methods to design novel molecules. We apply state-of-the-art ML techniques to drug discovery, and conduct fundamental research in ML to push boundaries and deepen understanding. These efforts led to one of our studies receiving the Outstanding Paper Award at ICLR 2024. In particular, our research involves understanding and generating drug candidates using 3D representations such as voxels, neural fields, and point clouds. For more detailed information on our research interests, please refer to our Google Scholar page.

This internship position is located in New York, NY, on-site.

The Opportunity

Participate in cutting-edge research in ML, 3D generative models, and applications to protein structures and drug discovery.

Contribute to and drive publications, present results at internal and external scientific conferences, and make code and workflows open source.

Program Highlights

Intensive 12-week, full-time (40 hours per week) paid internship.

Program start dates are in May/June (Summer 2025)

A stipend, based on location, will be provided to help alleviate costs associated with the internship. 

Ownership of challenging and impactful business-critical projects.

Work with some of the most talented people in the biotechnology industry.

Who You Are (Required) 

Required Education:

Experience developing generative models for vision.

Strong publication record and experience contributing to research communities, such as conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, etc.

Required Majors: Computer Science, Statistics, Applied Math, Physics, or related technical field.

Required Skills: 

Strong programming skills in languages like Python.

Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts. 

Preferred Knowledge, Skills, and Qualifications

A deep understanding of Transformer architectures, especially in vision domains.

Interest and experience in 3D domains, e.g., voxels.

Experience in maintaining or contributing to open-source projects for research.

Excellent communication, collaboration, and interpersonal skills.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of  California is $40-$55 hour.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

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