Bioinformatics Summer Associate

Tempus AI • Chicago, IL

7d • Hybrid

About The Position

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 PhD-candidate Bioinformatics Summer Associate to work with us for the summer of 2026. 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): Project: Work closely with a scientist in the development of a somatic copy number model of the cancer genome, including Characterization of the input data, including log-ratios and b-allele SNPs Model parameter fitting and optimization. Model output visualizations

Requirements

• Pursuing a Ph.D. (graduation between winter of 2026 and summer of 2027) in bioinformatics, computational biology, biostatistics, or a related field.
• Computational skillsets: Python required. Coding and data analysis abilities will be assessed
• Biology skillsets: Basic knowledge of cancer genomics required.
• Demonstrated ability to conduct independent research, via a track record of first-author conference presentations and/or journal publications.
• Excellent written and verbal communication skills in a variety of settings and media.
• Strong computer skills, including advanced knowledge of Google Suite and Gmail, preferred.
• 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!

Nice To Haves

• Any previous experience of copy number modeling is highly desirable.
• Strong computer skills, including advanced knowledge of Google Suite and Gmail, preferred.

Responsibilities

• 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
• Work closely with a scientist in the development of a somatic copy number model of the cancer genome, including Characterization of the input data, including log-ratios and b-allele SNPs Model parameter fitting and optimization.
• Model output visualizations

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree