Data Science Summer Associate - Oncology

New York City, New York City

Applications have closed

Tempus

Tempus has built the world’s largest library of clinical & molecular data and an operating system to make that data accessible and useful, starting with cancer.

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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.

 

#LI-EH1 #LI-HybridThe expected salary range below is applicable if the role is performed from [New York] 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.New York 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Biology Computer Science Deep Learning Mathematics NumPy Pandas Python PyTorch Statistics Unsupervised Learning

Perks/benefits: Career development Competitive pay Medical leave

Region: North America
Country: United States
Job stats:  8  1  1

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