Senior Scientist, Computational Biology, Life Science Strategy

Senior Scientist, Computational Biology, Life Science Strategy# Careers## Senior Scientist, Computational Biology, Life Science Strategy Apply:
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** 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.
** Senior Scientist, Computational Biology, Life Science Strategy**  ### About Tempus Tempus is advancing precision medicine through the power of artificial intelligence and the world’s largest library of clinical and molecular data. Our mission is to enable real-time, data-driven decision-making to improve patient outcomes and accelerate drug development.  ### About the Role We are seeking an experienced Senior Scientist to join the Computational Biology, Life Science Strategy team.

This group operates at the intersection of biological data science and AI, supporting high-impact collaborations with major pharmaceutical partners and our life science strategy. The ideal candidate will demonstrate strong scientific leadership, deep expertise in computational biology including AI tools, and a proven track record of success. The role focuses on integrating large-scale molecular and clinical datasets, generating actionable insights for drug discovery and development, and building next-generation research tools that enhance the impact and efficiency of our work.  

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Key Responsibilities
* Life Science Strategy:
Partner with internal and external stakeholders including life science strategy, market intelligence and pharma R&D to deliver high impact data insights that reflect the current biopharma landscape including around biomarker and clinical development. Independently translate rough concepts into well thought out analysis plans.
* Computational Analysis & Insight Generation:
Execute robust, reproducible analyses integrating genomic, transcriptomic, imaging, and clinical data. Apply appropriate statistical and computational best practices to derive insights related to clinical trial design, patient selection, treatment response, resistance mechanisms, and disease biology.
* AI & LLM

Innovation: Incorporate LLMs and other AI tools into day-to-day workflows to  automate, streamline and accelerate code development, discovery, documentation, and review. Design and prototype agentic workflows integrating foundation models and LLMs to power new insights and predictive models.
* Method Development and Platform Contribution:
Evaluate, adapt, and implement new methods for the analysis of real-world, clinical, and ’omic datasets (e.g., survival analysis, causal inference, multi-modal integration). Contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations and programs.

* Cross-Functional Collaboration:

Work closely with colleagues in Research, Clinical, Data Science, and Engineering to refine analyses, build scalable solutions, and align scientific efforts with platform and product roadmaps.
* Scientific Communication:
Communicate complex methods and results clearly to both technical and non-technical stakeholders. Prepare and present internal reports, external-facing deliverables, and, where appropriate, manuscripts or conference materials that demonstrate the impact of Tempus data and technologies on partner programs.
* Leadership: demonstrate strong project-level leadership, to ensure the…