Hiring: Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Company: Tempus AI Location: New York, NY Job Posted Time: 2026-09-16 14:20:51 Employment Type: Remote Target Skills & Keywords : AI, Git, LLM, Large Language Model, Machine Learning, Python, R, RAG, Unit Testing About the job Experience: •Quantitative and computational skills, specifically in AI agent based workflows (e.g. Applied Machine Learning, Generative AI, Mathematics, biostatistics). •Biological, medical, or drug development knowledge and data (e.g. oncology, RWE, medical science, or clinical drug development). Required Skills: •Data Expertise: Tempus has one of the largest multimodal patient datasets ever collected, providing a unique opportunity to work with extensive and diverse data. Become an expert in Tempus’ vast epidemiological, clinical, genomic, transcriptomic and pathology imaging data, along with the latest tools and techniques for their analysis and modeling. •Interface directly with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions. •Co-develop solutions with Pharma partner science and clinical teams •Drug R&D Expertise: Work with leading pharmaceutical companies. Gain proficiency in their strategies, drug modalities, and pipelines to identify where the Tempus platform can add value. •Skillfully navigate client interactions to extract and communicate the most impactful insights driving new R&D opportunities; effectively communicate complex technical results and methodologies to diverse external stakeholders. •Continuously immerse yourself in the latest industry trends, best practices, and advancements in machine learning and AI to revolutionize drug R&D •Agentic AI: Develop complex, state-of-the-art agentic workflows. Build agents capable of long-horizon planning, tool use and "co-scientist" reasoning. •Multimodal Modeling: Leverage oncology foundation models to integrate DNA, RNA, H&E, and clinical data into predictive algorithms. Qualifications: •Minimum: PhD (or Masters degree with 3+ years of relevant experience). Compensation: •$100,000 - $150,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!