Senior Machine Learning Scientist

Employment Type: Full-time

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Position Overview

Tempus is seeking a highly skilled and innovative Senior Machine Learning Scientist to join our research and development team. This role is ideal for individuals passionate about precision medicine and advancing the healthcare industry. You will play a crucial role in developing and utilizing cutting-edge natural language processing (NLP) models and Large Language Models (LLMs) specifically tailored for healthcare applications. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research, revolutionizing healthcare and making a significant impact on people's lives.

What You Will Do

• Develop innovative and practical natural language processing models and LLM agents for precision medicine.
• Research, develop, train, test, deploy, monitor, and improve machine learning models and agents for:
  • Information extraction
  • Relation extraction
  • Information retrieval
  • Question answering
  • Text classification
  • Summarization
  • Clinical prediction
• Work with diverse datasets including unstructured clinical notes and reports, structured electronic health record (EHR) data, imaging data, and molecular (DNA and RNA sequencing) data.
• Continuously explore and evaluate new technologies and methodologies to enhance the technical capabilities of our team.
• Contribute to thought leadership and continuously develop and apply up-to-date knowledge of AI trends.
• Design and conduct experiments to evaluate the performance and effectiveness of NLP models and LLM agents in healthcare settings.
• Collaborate with business, product, and other teams to develop the vision, business case, requirements, roadmap, and plan for AI-powered products.
• Collaborate closely with healthcare professionals, data scientists, software engineers, and product managers to gain insights into real-world healthcare challenges and develop practical solutions.
• Work closely with engineering teams to integrate your models and agents into healthcare platforms, systems, and applications, ensuring scalability, efficiency, and robustness of deployed solutions.
• Stay up-to-date with healthcare regulations, privacy laws, and ethical considerations relevant to the development and deployment of AI in healthcare, ensuring compliance with HIPAA, GDPR, and other applicable standards.
• Stay actively involved in the healthcare and AI research communities by attending relevant conferences, workshops, and seminars, and publishing research findings in important scientific venues.
• Collaborate with university and industry partners to advance the state of the art in AI for healthcare, establishing and driving research opportunities and collaboration.

Required Qualifications

• PhD or Master's degree with 3+ years of experience, or Bachelor's degree with 5+ years of experience in a quantitative discipline such as:
  • Computer Science
  • Artificial Intelligence
  • Machine Learning
  • Statistics
  • Natural Language Processing
  • Computational Linguistics
  • Information Retrieval
  • Computational Biology
  • Bioinformatics
  • Applied Mathematics
  • Physics
  • Or a related field.
• Strong collaboration, communication, and influencing skills.
• Strong track record of publications, patents, and/or launched products in AI using NLP or LLMs.
• Solid knowledge of machine learning concepts, including deep learning, transformer models, optimization algorithms, and regularization techniques.
• Proficiency in AI programming languages and frameworks such as Python, PyTorch, TensorFlow.