Machine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&D

Posted 3 Days Ago
4 Locations
Hybrid
100K-160K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Tempus is a technology company leading the adoption of AI to advance precision medicine and patient care.
The Role
The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.
Summary Generated by Built In

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.

Machine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&D

Location: New York, NY

The Machine Learning Scientist, Applied Machine Learning and Agentic AI will contribute to the technical 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 computational biology. You will be responsible for building and refining "deep agents" capable of hypothesis generation, experimental design, and multimodal ML modeling utilizing foundation models.

In this role, you will be a key technical contributor, working closely with senior scientists and engineers to implement system designs and ensure code quality. You will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale 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 Expertise: 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.

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: 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. 
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 3+ years of relevant experience).

Combining:
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).

Technical/Scientific Skills:
Agentic Frameworks: 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) 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: $100,000-$150,000
NYC/SF: $120,000-$160,000

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. 

Skills Required

  • PhD or Masters degree with 3+ years of relevant experience
  • Proficiency in Python and orchestration frameworks
  • Strong foundation in survival analysis and evaluation metrics for oncology models
  • Excellent written and verbal communication skills
  • Experience with clinical trial or real-world data

What the Team is Saying

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Tempus AI Compensation & Benefits Highlights

  • Healthcare Strength Healthcare coverage spans medical, dental, vision, life/AD&D, short‑term disability, mental‑health/EAP, FSAs, and even pet insurance. Feedback suggests this breadth meets core needs for many employees.
  • Wellbeing & Lifestyle Benefits On‑site cafeteria meals, stocked snacks, an on‑site barista, commuter benefits, gym discounts, ERGs, and regular events enhance daily experience, especially at Chicago HQ. Feedback suggests these amenities add tangible value for those working regularly on‑site.
  • Parental & Family Support Parental leave and an onsite Mother’s Room are highlighted, alongside hybrid work in many roles. Feedback suggests these supports help work‑life integration for caregivers.

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The Company
HQ: Chicago, IL
3,775 Employees
Year Founded: 2015

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.

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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.

Typical time on-site: 3 days a week
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