Job Description
Senior Scientist II Applied Machine Learning and Translational Agentic AI Life Science R&D
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' 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.
The Senior Scientist II Applied Machine Learning and Translational Agentic AI Life Science R&D will lead the scientific development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. This role sits at the intersection of advanced Large Language Model (LLM) orchestration and translational science. You will be responsible for architecting sophisticated "deep agents" capable of hypothesis generation experimental design and multimodal ML and AI modeling utilizing foundation models.As a senior technical contributor you will act as a force multiplier for the team taking ownership of design code quality and the strategic roadmap for agentic capabilities. Beyond technical architecture you will innovate on core scientific methodology by developing new predictive models and causal inference frameworks to rigorously analyze vast multimodal oncology data effectively scaling scientific discovery from a manual process to a high-throughput automated engine.
DescriptionData 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.
Teamwork and collaboration:
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
Drug R&D and translational science: Work with leading pharmaceutical companies. Gain proficiency in their strategies drug modalities and pipelines to identify where the Tempus platform can add value.
Scientific communication: 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.
Scientific leadership: Empower computational biologists and RWE scientists through targeted AI guidance and hands on coaching to increase AI tool adoption to maximize impact.
Personal development: Continuously immerse yourself in the latest industry trends best practices and advancements in machine learning and AI to revolutionize drug R&D
Agentic AI Architecture: Design and build complex state-of-the-art agentic workflows. Develop 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.
Scientific Innovation: Collaborate with clinical scientists and pharma partners to define high-value use cases such as clinical trial design support and treatment de-escalation.
Education and experience:
Minimum
PhD (or Masters degree with 5+ years of relevant experience).
Plus an additional 2+ years of relevant industry or post-doctoral experience that involves medicine and AI.
Combining:
Quantitative and computational skills specifically in AI agent based workflows (e.g. Applied Machine Learning Generative AI Mathematics biostatistics).
Biological medical translational or drug development knowledge and data (e.g. oncology RWE medical science or clinical drug development).
Technical/Scientific Skills:
Agentic Frameworks: Expert-level proficiency in Python and orchestration frameworks specifically LangGraph (strongly preferred) or similar. Experience building deep agents with complex state management and graphs.
LLM Application: Deep knowledge of prompt engineering RAG (Retrieval-Augmented Generation) function calling and evaluating non-deterministic LLM outputs.
Machine Learning: Strong foundation in survival analysis (CoxPH RSF NN) and evaluation metrics for oncology models.
Software Engineering: Adherence to software best practices (unit testing git) and experience designing scalable systems.
Experience working with clinical trial or real-world data clinical guidelines (e.g. NCCN for oncology) and emerging RWE methodologies
Track record of success: proven in peer reviewed publications or other proven impact.
Communication Skills: Excellent written and verbal communication skills with the ability to present complex information clearly and persuasively to diverse audiences.
Motivated: Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Experience in integrative modeling of multi-modal clinical and omics data preferably with multimodal embeddings and foundation models.
Strong understanding of data and artificial intelligence in Oncology.
Understanding of cancer biology and clinical data.
Experience with deploying ML models in cloud environments.
CHI: $125000 - $185000
SF/NY: $150000 - $190000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado Illinois New York). 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.
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.
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.
Skills Required
- PhD or Masters with 5+ years experience
- 2+ years of relevant industry or post-doctoral experience
- Expert-level proficiency in Python and orchestration frameworks
- Strong foundation in survival analysis for oncology models
- Excellent written and verbal communication skills
What the Team is Saying










Tempus AI Compensation & Benefits Highlights
- Healthcare Strength—Comprehensive medical dental vision life and short‑term disability coverage is paired with FSA and EAP/mental‑health support plus pet insurance. Feedback suggests this broad healthcare foundation is strong for a tech/healthtech employer.
- Parental & Family Support—Parental leave is highlighted across sources with multi‑week leave for new parents and family supports like an onsite Mother’s Room noted. Feedback suggests these programs are a meaningful part of the package.
- Wellbeing & Lifestyle Benefits—Day‑to‑day perks include a company cafeteria with meals stocked snacks an on‑site barista commuter programs gym discounts ERGs and team outings. Feedback suggests these amenities enhance the on‑site experience.
Tempus AI Insights
What We Do
We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time connect patients with therapies and clinical trials and enable partners to accelerate discovery and development of new treatments. With ~8 million de-identified research records and 350+ petabytes of data Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology neurology psychiatry cardiology and beyond—transforming how care is delivered and therapies are developed. At Tempus every role contributes to our mission: to help each patient benefit from the experiences of those who came before. For more information visit tempus.com.
Why Work With Us
We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.
Gallery
Tempus AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most of the team follows a hybrid policy with some roles allowing for a fully remote arrangement and some roles being onsite only.











Similar Jobs
Tempus AI
Account Manager
Tempus AI
Senior IAM Engineer
Tempus AI
Senior Business Intelligence Engineer
Tempus AI
Associate Manager RCM
Explore More
Date Posted
05/24/2026
Views
0
Similar Jobs
Developer Engagement Representative - Vietnam (Part-Time Contract) - Roblox
Views in the last 30 days - 0
View DetailsDeveloper Engagement Representative - ANZ (Australia / New Zealand) (Part-Time Contract) - Roblox
Views in the last 30 days - 0
View DetailsDeveloper Engagement Representative - ANZ (Australia / New Zealand) (Part-Time Contract) - Roblox
Views in the last 30 days - 0
View Details