Senior Machine Learning Scientist, Natural Language Processing

Are you passionate about precision medicine and driving advancement in the healthcare industry? Recently, advances in core technology have finally enabled AI to significantly affect clinical care. The unique platform of Tempus connects an entire ecosystem of real-world evidence to deliver actionable insights in real-time to physicians. This crucial information assists in selecting the correct treatments for the correct patients at the correct time. The ideal candidate is passionate about and experienced in utilizing natural language processing, machine learning, and neural networks to impact precision medicine through information extraction and clinical prediction models. What You Will Do: - Work with a team of machine learning scientists and engineers to develop natural language processing (NLP) and machine learning solutions for precision medicine. - Research, develop, train, test, classify, monitor, and improve NLP and machine learning models for information extraction, relation extraction, text classification, clinical prediction, and imputation. - Work with large unstructured datasets of clinical reports and notes as well as structured electronic health record (EHR) datasets. - Collaborate with team members, stakeholders, product, science, and engineering teams to develop the most sophisticated machine learning solutions in precision medicine. - Engage in user-centered design with customers and stakeholders to create high-impact machine learning systems. - Document, summarize, and present your work to peers and stakeholders. Required Qualifications: - PhD, Master's degree with over 3 years of experience, or Bachelor's degree with over 5 years of experience in a numeric discipline like computer science, machine learning, statistics, natural language processing, biomedical informatics, computational biology, applied mathematics, or a related field. - Experience in PyTorch, TensorFlow, Keras, Pandas, scikit-learn, spaCy, NLTK, or other deep learning and natural language processing frameworks. - Proficiency in programming and software engineering using Python, Linux, and SQL. - Ability to thrive in a fast-paced environment and shift priorities smoothly. - Proven experience in interpreting insights and presenting concepts to diverse audiences. - Team player mindset and the ability to work in an interdisciplinary team. Preferred Qualifications: - Experience in creating production models for text classification, clinical prediction, and other applications. - Knowledge of BERT, GPT-4, T5 and other transformer models, attention mechanisms, large language models, and word embeddings. - Familiarity with GCP, Spark, and data warehousing. - Publications in ACL, AAAI, EMNLP, ICLR, ICML, or comparable. - Experience in the healthcare domain, especially in oncology. - Prior work with clinical cancer data. - Familiarity with EHR data, clinical terminology, and clinical notes. - Experience with controlled vocabularies and medical ontologies, such as UMLS, SNOMED CT, MeSH, RxNorm, HGNC, NCI Thesaurus. Remuneration from $140,000 - $180,000 USD may vary based on qualifications and experience and may differ for roles based in California and New York. This position includes a range of comprehensive benefits, including incentive compensation, restricted stock units, and medical benefits. We are an equal opportunity employer. We do not discriminate on the grounds of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.