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, Applied Machine Learning and Generative AI, Pharma R&D will perform complex computational analyses and develop algorithms, causal models, and agent-based tools to advance the Tempus platform supporting drug R&D. The ideal candidate will possess strong applied machine learning, causal inference, and generative AI skills, with experience building and applying LLMs, agentic systems, causal frameworks, and foundation models in the life sciences. The candidate will also be proficient in communicating complex findings to various stakeholders.
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.
- Innovation: 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 and industry trends.
- 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.
- Scientific Leadership & Influence: 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
Qualifications:
Education and experience:
Minimum
- PhD (or Masters degree with 2+ years of relevant experience).
- Plus an additional 2+ years of relevant industry or post-doctoral experience.
- Combining:
- Quantitative and computational skills, with a focus on causal AI, causal inference, and/or explainable AI (e.g. Causal 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:
- Proficient in R, Python, and SQL, with specific expertise in frameworks for agentic orchestration (e.g., LangChain, LangGraph, AutoGen, or DSPy).
- Depp knowledge of machine learning and statistical modeling, with hands-on experience in causal methodologies (e.g., Directed Acyclic Graphs, counterfactual reasoning, and heterogeneous treatment effect estimation).
- Applicable knowledge of LLM-driven agent architectures, including experience with prompt engineering, RAG (Retrieval-Augmented Generation), and function calling/tool use.
- Awareness of the uses of machine learning in molecular/biomedical data analysis or drug discovery/development.
- Experience working with molecular data, clinical trial and/or real-world data and
- Track record of success: proven in peer reviewed publications.
- Communication Skills: 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.
- 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.
- 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.
#LI-DA1
CHI: $140,000-$200,000
NYC/SF: $150,000-$210,000
The expected salary range may vary for other locations. 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.
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 Master's degree with at least 2 years of relevant experience
- At least 2 additional years of relevant industry or post-doctoral experience
- Quantitative and computational expertise in causal AI, causal inference, explainable AI, mathematics, or biostatistics
- Biological, medical, or drug development knowledge and data experience
- Proficiency in R, Python, and SQL
- Experience with agentic orchestration frameworks such as LangChain, LangGraph, AutoGen, or DSPy
- Strong machine learning and statistical modeling knowledge with hands-on causal methodology experience
- Experience with LLM agent architectures, prompt engineering, RAG, and function calling or tool use
- Knowledge of machine learning applications in molecular or biomedical data analysis or drug discovery and development
- Experience with molecular data, clinical trial data, or real-world medical data
- Peer-reviewed publication record
- Excellent written and verbal communication skills, including presenting complex information to diverse audiences
- Comfort in client-facing roles and ability to deliver technical training
- Experience integrating multimodal clinical and omics data
- Strong understanding of data and artificial intelligence in pharmaceutical R&D
- Understanding of cancer biology
- Experience with large transcriptome, NGS, clinical, or real-world medical datasets
What the Team is Saying
Tempus AI Compensation & Benefits Highlights
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Healthcare Strength — Healthcare is considered solid, with PPO coverage often described as good and medical, dental, and vision options broadly available. Feedback suggests the overall health offering is a relative strong point despite mixed comments on premiums.
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Leave & Time Off Breadth — Time off is frequently characterized as flexible, with reports of unlimited or generous PTO in many corporate roles. Feedback suggests policies can vary by team, but the offering is generally viewed favorably.
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Wellbeing & Lifestyle Benefits — Workplace perks such as free meals/snacks, on-site amenities like a barista, gym discounts, and commuter benefits are commonly highlighted. Feedback suggests these lifestyle benefits add day-to-day value, especially at larger offices.
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.
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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.
