Computational Cancer Research

Tempus

Mentors

Mathew Barber, PhD, Tempus Director of Analytics
Casey Frankenberger, PhD, Tempus Senior Computational Biologist
Richard Sallari, PhD, Tempus Chief Science Officer
Kaanan Shah, PhD, Tempus Computational Biologist
Robert Tell, PhD, Tempus Senior Bioinformatics Scientist

Background

Passionate about making a difference in the world of cancer care? With the advent of genomic sequencing, we can finally decode and process our genetic makeup. We now have more data than ever before but providers don’t have the infrastructure or expertise to make sense of it. Here at Tempus, we believe the greatest promise for the detection and treatment of cancer lies in the molecular understanding of disease initiation, progression, and an efficacious treatment based on the discovery of unique patient biomarkers. We’re on a mission to connect the ecosystem of patient, clinicians and scientists to redefine how genomic data is used in clinical settings. Our team is focused on developing state of the art techniques to processing and interpreting vast amounts of genomic and molecular data.

Internship Description

Interns will collaborate with product, research and business development teams to help build the most advanced data fusion platform in cancer care. The team of interns will firstly build a database of actionable information from academic literature and other sources, from the ground up. Secondly, the team will translate information from that database into sections of clinical reports for oncologists. Interns will (under mentorship):

• query data sources for quality and relevance for a clinical report,

• bring the relevant information together into a database,

• design ways for that database to be utilised in a clinical report,

• have ample opportunity to develop creative ideas and implement innovative analyses.

Specific Objectives

• Learn, and receive training on, clinical cancer biology and genetics

• Develop team skills by closely working together

• Gain project management and product development experience

Qualifications

The internship is well suited towards applicants who are creative and motivated, able to program in R and other programming languages, well-educated in cancer biology, well-educated in genetics, familiar with next generation sequencing data.

*This is an off-campus internship with a private company that is not affiliated with the University of Chicago.