Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D"
Company: Tempus AI
Location: New York City
Posted on: April 4, 2026
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Job Description:
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. Description
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. 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 Responsibilities 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.
Qualifications 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. Preferred
Skillsets/Background 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: $125,000 - $185,000 SF/NY: $150,000 -
$190,000 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.
Keywords: Tempus AI, Hempstead , Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D", Science, Research & Development , New York City, New York
