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, Digital Pathology 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.
As a Summer Intern at Tempus, you will: Apply skills and knowledge learned in the classroom to on-the-job experiences Work on comprehensive, value-added project(s) that help enhance the fields of science and technology Collaborate with teams/colleagues in a fast-paced environment Gain professional development & build relationships with peers from across the country Anticipated Summer Project(s): Predicting biomarkers and outcomes from H&E images Develop and evaluate embeddings and foundation models for pathology slides Develop machine learning models for slide quality control Qualifications: Pursuing a Master of Science or Ph.D. degree (graduation between winter of 2025 and summer of 2026) in a quantitative discipline (e.g. computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, physics, or similar) Proficient in Python Experience with machine learning frameworks such as TensorFlow or PyTorch Outstanding analytical and problem-solving skills, with a particular focus on understanding the intricacies of multi-modal medical data sets Experience with machine learning for images is a plus Experience with foundation models is a plus 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! Additional Details: You will spend 8 or 10 weeks working in our Chicago office. The internship will be a hybrid, onsite 3 days/week with the option to work remotely the remaining days. The program will start in early June and run through August. A competitive hourly wage will be provided for the summer employment and a relocation bonus to help offset some of the relocation costs and resources to help you find housing. #LI-HybridThe expected salary range below is applicable if the role is performed from [Illinois] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position.
Illinois Pay Range
$35—$35 USD We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.