Sr Scientist II, Computational Discovery Science

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.

We are seeking a motivated and talented Senior Scientist II to join the Computational Discovery Science team. This scientist will contribute to a team focused on identifying novel targets for cancer therapeutics by developing and applying computational methods for drug discovery. You will leverage Tempus’ large clinico-genomic database alongside functional and molecular assays applied to patient-derived organoids (PDOs). This role demands a blend of creative and strategic thinking, leadership skills, and a passion for groundbreaking research.

This is a highly collaborative role, requiring close partnership with AI/ML scientists, as well as computational and modeling lab biologists. You will also be client-facing, responsible for effectively communicating complex results to a diverse audience, including life science pharma and biotech partners.

• Utilize novel analytical methods applied to multi-modal data—such as genomic, imaging, and clinical data to identify targets in patient sub-populations.
• Apply in silico methodologies to Tempus Real-World Data (RWD) to identify molecular, biological, and clinical patterns associated with specific patient populations.
• Leverage multimodal data to compress complex data into joint embeddings, enabling robust clustering of patients and the identification of novel molecular subtypes.
• Utilize the LLM-orchestrated Tempus Loop Agent architecture to autonomously prioritize
• In partnership with Tempus’ modeling lab, use data from CRISPR and cell perturbation experiments in patient-derived organoids to identify and validate novel targets.

• Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from the Tempus multimodal data platform.
• Work closely with cross-functional teams across R&D and the broader Tempus organization, including product engineering, clinical genomics labs, data science, and medical teams.

• Communicate scientific and technical plans and outcomes to a cross-functional group of project and senior leadership stakeholders, both internal and external partners.
• Present scientific findings clearly and meaningfully to diverse sets of external stakeholders and non-technical audiences.
• Author abstracts, posters, and peer-reviewed publications to illustrate the value of multimodal analysis and AI in drug discovery.

• Education:
  
  PhD in a quantitative discipline (e.g., Bioinformatics, Computational Biology, Data Science) or Life Sciences with a strong computational publication record.
• Experience:
  
  PhD with 4+ years of work experience leveraging genomic and multimodal data with machine learning approaches to address questions in complex diseases, especially cancer.
• Technical/Scientific
  
  Skills:
  
  Proficient in R, Python, and SQL. Strong understanding of Cancer, Genomics, and/or Immunology. Extensive prior experience analyzing genomic data and running statistical/machine learning models .
• Communication
  
  Skills:
  
  Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
• Leadership
  
  Skills:
  
  Multidisciplinary project team leadership experience and a demonstrated ability to…