Machine Learning Summer Associate

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):

• Develop models for disease phenotyping based on multi-modal data, such as structured and unstructured electronic health records (EHRs) and electrocardiograms (ECGs).
• Contribute to our NLP modeling strategies with evaluating state-of-the-art models for classification, pre-training and NER.
• Design and implement novel strategies to process ECG data to improve our current predictive models.

Qualifications:

• Pursuing a Master or Ph.D. (graduation between winter of 2023 and summer of 2024) in a quantitative discipline (e.g. computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, physics, or similar).
• Proficient in Python and SQL.
• Experience working with structured and unstructured electronic health record or electrocardiography data.
• Experience with supervised, self-supervised and unsupervised machine learning algorithms, such as: regression, generative modeling, deep neural networks, gradient boosting, non-linear low dimensional embeddings, deep learning and clustering.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• 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 Chicago or New York office (depending on preference).
• 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.

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.