Senior Machine Learning Scientist

Tempus is at the forefront of revolutionizing healthcare through AI-powered precision medicine. As a Senior Machine Learning Scientist on the Cell Imaging team, you'll be instrumental in developing cutting-edge algorithms that advance cancer precision medicine. The role combines complex computational analyses with practical applications in healthcare, working with spatial transcriptomics data and Tempus's comprehensive multimodal patient dataset.

The position offers a unique opportunity to impact patient care directly through machine learning innovations. You'll be working with state-of-the-art technology and data, developing and implementing best-in-class machine learning methods. The role requires a blend of technical expertise in machine learning, experience with genomic data, and the ability to collaborate across multiple teams.

Your work will involve building robust, industrial-scale machine learning models, supporting research initiatives, and contributing to drug development and clinical testing innovations. The position offers competitive compensation ranging from $120,000 to $190,000, depending on location and experience, along with comprehensive benefits including equity and medical insurance.

The ideal candidate will bring a PhD in a quantitative field and at least 2 years of experience working with genomic data and machine learning approaches. You'll need strong programming skills, particularly in Python, and experience with deep learning frameworks. The role offers the flexibility of hybrid work arrangements across several major US cities.

This is an excellent opportunity for someone passionate about applying machine learning to healthcare challenges, working in a collaborative environment, and making a real difference in patient care through technological innovation. The role combines cutting-edge technical work with meaningful healthcare applications, offering both professional growth and the chance to contribute to advancing precision medicine.