Machine Learning Summer Associate

As a Machine Learning Summer Associate at Tempus, you will dive into various impactful projects, including predicting biomarkers from H&E images, developing machine learning models for pathology slides, and evaluating embeddings and foundation models. Your work will focus on enhancing the application of AI in clinical care, and you’ll collaborate with teams to make sense of complex medical data sets.

To be eligible for the Machine Learning Summer Associate role at Tempus, you should be pursuing a Master’s or PhD in a quantitative discipline like machine learning, computer science, or computational biology, with graduation expected between winter 2025 and summer 2026. Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch are essential.

The Machine Learning Summer Associate position at Tempus will be hybrid, allowing you to work onsite for three days a week at our Chicago office, with the flexibility to work remotely on the remaining days. This structure supports a balance between collaborative in-person projects and independent work.

Successful candidates for the Machine Learning Summer Associate position at Tempus should possess outstanding analytical and problem-solving skills, particularly in processing multi-modal medical data. Excellent communication abilities, both written and verbal, are also crucial in collaborating effectively with team members across various settings.

The hourly wage for the Machine Learning Summer Associate role at Tempus is competitive at $35 per hour. Additionally, interns are eligible for a relocation bonus to assist with moving costs, along with comprehensive benefits that may include incentive compensation and medical coverage, depending on the position.

When answering this question, select a project that highlights your technical skills and your ability to address real-world problems. Discuss your role, the challenges faced, the methods employed, and the impact of your work. Aim to connect your project to potential applications in healthcare, as this aligns with Tempus’s mission.

Detail your proficiency in Python and familiarity with frameworks like TensorFlow or PyTorch. Provide examples of specific projects where you utilized these tools. Highlight your understanding of model development, training, and evaluation, particularly in the context of healthcare applications.

Explain your analytical strategy, emphasizing your understanding of data preprocessing, exploration, and visualization. Discuss specific techniques used in handling multi-modal data, and stress the importance of accurate interpretation in producing actionable insights for clinical care.

Share your personal motivation for entering the field, focusing on the impact you believe AI can have on improving patient outcomes. Reference any relevant experiences or educational moments that solidified your interest in the application of technology to healthcare.

Choose a specific instance where teamwork was essential for success. Discuss your role, how you communicated with peers, how you contributed to the group goals, and what you learned about collaboration. Use this example to emphasize your collaborative mindset, which is vital at Tempus.

Before your interview, research Tempus’s mission to connect real-world evidence to improve clinical care. Articulate your understanding of their goals and share any insights on how you envision contributing to these objectives during your internship.

Choose a machine learning model you are familiar with and explain its fundamental principles, as well as its practical application in healthcare scenarios. Highlight how it can enhance diagnostics, treatment personalization, or patient care, tying it back to Tempus’s initiatives.

Share your time management strategies, such as breaking projects into smaller tasks, setting milestones, and prioritizing based on urgency and importance. Discuss a time when you successfully met a deadline while maintaining high-quality work.

Identify a significant challenge, whether technical or interpersonal, and discuss the specific steps you took to address it. Emphasize your problem-solving skills and adaptability, as these traits are key in a dynamic environment like Tempus.

Summarize your relevant experiences, skills, and passion for healthcare and AI. Highlight your eagerness to learn and contribute, showcasing how your background aligns with Tempus’s mission. Make this a compelling case for your fit in the team.