2025 Summer Intern - Large Language Models, Prescient Design

Genentech • New York, NY

391d • $93,600 - $104,000

About The Position

The Graduate Research Intern in Multimodal Representation Learning for Drug Discovery at Prescient Design, part of Genentech's Research and Early Development organization, is responsible for designing and implementing innovative machine learning models that integrate various biological data types. This internship offers a unique opportunity to work on impactful projects that contribute to drug discovery and development, leveraging cutting-edge technologies in a collaborative environment.

Requirements

• Must be pursuing a Master's Degree or a PhD in Computer Science, Statistics, Applied Math, Physics, Bioinformatics, Computational Biology, or a related technical field.
• Strong programming skills, particularly in Python; experience with machine learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning concepts, including supervised and unsupervised learning, neural networks, and representation learning techniques.
• Excellent written and verbal communication abilities, with a capacity to work collaboratively in a multidisciplinary team environment.

Nice To Haves

• Experience with large language models (LLMs) and their development for representation learning.
• Familiarity with processing and integrating diverse data types, such as text, genomic sequences, protein structures, and small molecules.
• Prior exposure to drug discovery processes and biotechnological data analysis.
• Experience with unsupervised and supervised contrastive learning techniques.
• Excellent communication, collaboration, and interpersonal skills.

Responsibilities

• Design Multimodal Encoder Models that integrate diverse data modalities into a unified embedding space.
• Leverage large GPU clusters to train models on multimodal datasets for robust representation learning.
• Evaluate model performance using biotech-specific benchmarks to generate meaningful embeddings.
• Demonstrate practical utility of models in real-world scenarios, such as Retrieval Augmented Generation (RAG).

Benefits

• Paid internship with a stipend based on location.
• Paid holiday time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Chemical Manufacturing
• Education Level: Master's degree