Tempus AI · 10 hours ago
Senior Scientist, Applied Machine Learning and Generative AI, Pharma R&D
New York, NY
Full-time
Onsite
Mid, Senior Level
$115K/yr - $175K/yr
6+ years expTempus AI is a company focused on precision medicine and advancing healthcare through AI technology. They are seeking a Senior Scientist in Applied Machine Learning and Generative AI to perform complex computational analyses and develop algorithms to support drug R&D, leveraging extensive multimodal patient datasets.
Artificial Intelligence (AI)BiotechnologyHealth CareMachine LearningMedicalPrecision Medicine
Responsibilities
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
Drive continual improvement of the Tempus platform for pharmaceutical R&D by championing and building new machine learning and generative AI capabilities based on client needs and industry trends
Work 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
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
Empower computational biologists and RWE scientists through targeted AI guidance and hands on coaching to increase AI tool adoption to maximize impact
Continuously immerse yourself in the latest industry trends, best practices, and advancements in machine learning and AI to revolutionize drug R&D
Qualification
Required
PhD (or Masters degree with 3+ years of relevant experience)
An additional 3+ years of relevant industry or post-doctoral 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)
Proficient in R, Python, and SQL, with specific expertise in frameworks for agentic orchestration (e.g., LangChain, LangGraph, AutoGen, or DSPy)
Deep knowledge of LLM-driven agent architectures, including experience with prompt engineering, RAG (Retrieval-Augmented Generation), and function calling/tool use
Applicable knowledge of machine learning and statistical modeling, with hands-on experience
Awareness of the uses of machine learning in molecular/biomedical data analysis or drug discovery/development
Experience working with clinical trial or real-world data, clinical guidelines (e.g., NCCN for oncology) and emerging RWE methodologies
Proven track record of success in peer reviewed publications
Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences
Comfort in a client-facing role and ability to deliver technical training to both internal and external audiences
Thrive in a fast-paced environment and willing to shift priorities seamlessly
Preferred
Experience in integrative modeling of multi-modal clinical and omics data
Strong understanding of data and artificial intelligence in drug R&D
Understanding of cancer biology
Previous experience working with large transcriptome and NGS data sets, or clinical or real-world medical data
Benefits
Incentive compensation
Restricted stock units
Medical and other benefits
Company
Tempus AI
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data.
1001-5000 employees
H1B Sponsorship
Tempus AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (3)
Funding
Current Stage
Public CompanyTotal Funding
$2.29BKey Investors
Ares ManagementGoogleBaillie Gifford
2025-06-30Post Ipo Debt· $650M
2025-02-19Post Ipo Debt· $300M
2024-06-14IPO
Leadership Team
Eric Lefkofsky
Founder and CEO
Shane Colley
CTO
Recent News
2026-01-13
Business Wire
2026-01-13
2026-01-12
Company data provided by crunchbase