Tempus Labs, Inc.
Tempus is advancing data-driven precision medicine with the practical application of AI in healthcare. It’s About Time.
1001 - 5000
Staff Machine Learning Scientist, Generative AI
February 13
Tempus Labs, Inc.
Tempus is advancing data-driven precision medicine with the practical application of AI in healthcare. It’s About Time.
1001 - 5000
Description
• Responsible for developing innovative and practical Generative AI applications for Tempus product line; for example, build LLM-based generative AI agents that solve impactful business challenges at Tempus across all our business units - touching on clinical notes, electronic health records, medical imaging, sequencing data, etc. • Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Model/LLMs aligns with strategic company objectives of embedding AI into our product portfolio; bring Large Language Models to demonstrable business impact across all of Tempus’ business areas. • Healthcare-focused research, innovation and product development: Continuously explore and evaluate new technologies and methodologies to enhance the technical capabilities of our team, ensuring that we remain at the cutting edge of ML innovation. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Stay up to date with the latest advancements in the field and adapt them to address healthcare-specific challenges, such as medical image generation, drug discovery, patient data analysis, or personalized medicine.
Requirements
• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field. A strong academic background with a focus on generative AI and healthcare applications is highly preferred. • 5+ years of industry experience. • Strong collaboration and communication abilities. • Strong track record in publications, patents, and/or launched products in this space • Experience bringing in thought leadership to the product and team. Bias-to-action, appetite for high-risk high-gain projects with a pragmatic approach to rapid and measurable progress. • Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Extensive experience in developing and implementing generative AI models, such as GANs, VAEs, and related architectures. • Experience in applying Large Language Models to practical industry challenges, including strong intuition on where to apply generative AI models versus more traditional models • Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch. Experience with healthcare-specific frameworks (e.g., DICOM, FHIR) is a plus.
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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