Data Science Summer Associate - Oncology

Key Skills

Data science techniques, Deep Learning, Effective communication skills, Google Suite, Molecular biology, NumPy, Oncology, Optimization, Pandas, Python Programming, PyTorch, R Programming, Scikit-learn, Software Development

Job Description

Are you 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 is seeking a highly qualified advanced-degree Summer Associate to work with us for the summer of 2023. 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. Our hope is 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):

• Learning new predictors of drug response in specific cancers using RNA, DNA and Clinical information.
• Developing new algorithms to integrate multiple data sources, and learn predictors across multiple datasets.

Qualifications:

• Pursuing M.S. or Ph.D or MD in Oncology. (advanced degree graduation between winter of 2023 and summer of 2024)
• Degree in Statistics, or Computer Science, or Mathematics or Computational Biology or MD in Oncology
• A must- working knowledge of Python, numpy, pandas and sk-learn packages.
• Knowledge of supervised and unsupervised learning methods.
• Knowledge of Optimization and Deep Learning is an advantage.
• Knowledge of pyTorch.
• Knowledge of molecular and clinical data in Oncology is an advantage..
• 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!

Additional Details:

• You will spend 8 or 10 weeks working in our New York office.
• The internship will be a hybrid, onsite 3 days/week with the option to work remotely the remaining days.
• The program will run in two waves, commencing June/July and running through August/September (dependent upon your school calendar and availability).
• 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.