Machine Learning Summer Associate, Applied AI & Research

at  Tempus

PASSIONATE ABOUT PRECISION MEDICINE AND ADVANCING THE HEALTHCARE INDUSTRY?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus’ proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Tempus is seeking a highly qualified advanced-degree Machine Learning Summer Associate, Applied AI & Research, to work with us for the summer of 2025. We are looking for people who can change the world.
Our goal is to provide you with a comprehensive overview of what it’s like to work at Tempus and the chance to have a true impact. We hope that at the end of your internship, you leave with a deeper understanding and appreciation for Tempus’ profound goals and mission; to connect an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

QUALIFICATIONS:

• Pursuing a Master’s or Ph.D. (advanced degree graduation between winter of 2025 and summer of 2026) in Computer Science, Data Science, Bioinformatics, Computational Biology or a related field.
• A strong academic background with relevant coursework in machine learning, artificial intelligence, statistics, algorithms, and data analysis.
• Proficiency in programming languages like Python, experience with machine learning frameworks and libraries, and familiarity with common tools for data processing and analysis.
• Excellent written and verbal communication skills in a variety of settings and media.
• A self-starter with the ability to work independently as well as in collaboration with others in a fast-paced environment is critical. Be ready to fly the plane as you’re still building it!

• Work closely with senior machine learning scientists to develop, implement, and test machine learning models for NLP/Gen AI applications.
• Analyze large clinical datasets and apply ML techniques to extract meaningful insights. Participate in the creation of pipelines for data processing, model training, and evaluation.
• Assist in the development of algorithms and tools that contribute to clinical data understanding, clinical trials, and research.
• Collaborate across multidisciplinary teams, including ML scientists, products, and engineers, to translate research into practical solutions.