Senior Machine Learning Scientist, NLP

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus's proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients at the right time.

We're seeking a highly skilled and innovative Senior Machine Learning Scientist to join our research and development team. As a Senior Machine Learning Scientist, you'll play a crucial role in developing and using cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make 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, and clinical prediction.

• Work with 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 continue to 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. Ensure 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. Ensure compliance with HIPAA, GDPR, and other applicable standards throughout the development process.

• Stay actively involved in the healthcare and AI research communities. Attend relevant conferences, workshops, and seminars. Publish research findings in important scientific venues.

• Collaborate with university and industry partners to advance the state of the art in AI for healthcare. Establish and drive research opportunities and collaboration with partner organizations.

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, Keras, Pandas, scikit-learn, spaCy, and NLTK.

• Strong software engineering and programming skills using Python, Linux, and SQL.

• Strong bias to action and appetite for high-risk, high-gain projects.

Preferred Qualifications:

• Experience building production models and agents for information extraction, relation extraction, information retrieval, question answering, text classification, summarization, and/or clinical prediction.

• Experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, and Semantic Kernel.

• Experience with embeddings and multimodal fusion.

• Experience in the healthcare domain, especially in oncology.

• Experience working with clinical, molecular, and imaging data.

• Experience with medical ontologies and controlled vocabularies such as UMLS, SNOMED CT, MeSH, NCI Thesaurus, RxNorm, and HGNC.

The expected salary range below is applicable if the role is performed from [Illinois] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position.

The expected salary range below is applicable if the role is performed from [Remote] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.