Machine Learning Scientist
Description For Machine Learning Scientist
Tempus is at the forefront of revolutionizing healthcare through AI and precision medicine. Their proprietary platform connects real-world evidence to provide physicians with actionable insights for personalized patient care. As a Machine Learning Scientist in the Digital Pathology Data Science team, you'll be instrumental in developing cutting-edge AI models that directly impact patient care and medical research.
The role combines technical expertise in machine learning with healthcare applications, focusing on analyzing digital pathology images and developing sophisticated AI models for biomarker discovery and outcomes prediction. You'll work with state-of-the-art technologies and methodologies, including deep learning architectures like ViT, CNNs, and Unet, while handling large-scale pathology datasets.
This position offers a unique opportunity to work with a multidisciplinary team of experts, including pathologists, biologists, and engineers, ensuring your work translates directly into meaningful healthcare solutions. The company values innovation and research, encouraging team members to stay current with the latest advancements in AI and digital pathology.
The ideal candidate will bring a strong academic background (Ph.D. or MS with experience) in Computer Science or related fields, combined with practical experience in AI/ML model development. Your work will directly contribute to improving patient care through precision medicine, making this role perfect for those passionate about using technology to advance healthcare.
Working at Tempus means being part of a mission-driven organization that's transforming healthcare through data and AI. The company offers competitive compensation and values diversity and inclusion. This role provides an excellent opportunity to make a significant impact in healthcare while working with cutting-edge technology and a talented team.
Responsibilities For Machine Learning Scientist
- Design, train, and validate machine learning models for analyzing digital pathology images
- Validate ML/AI algorithms analytically and/or clinically, and deploy them into production
- Work with large-scale pathology datasets, ensuring data quality and integrity
- Collaborate with multidisciplinary teams including pathologists, biologists, and engineers
- Stay updated on latest AI, machine learning, and digital pathology advancements
- Assist in identifying biomarkers from histopathology and spatial omics data
Requirements For Machine Learning Scientist
- Ph.D. or MS with 2+ years of working experience in Computer Science, AI, Data Science, or related field
- Strong knowledge of machine learning concepts including deep learning and optimization algorithms
- Experience in developing imaging AI models (ViT, CNNs, Unet)
- Outstanding analytical and problem-solving skills
- Proficiency in Python and PyTorch/Tensorflow
- Strong collaboration and communication abilities
- Track record in publications, patents, and/or launched products
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