Scientist Ii, Translational Research

Tempus AI Tempus AI · Vertical AI · Redwood City, CA +2

Scientist role focused on translational research in precision medicine, leveraging Tempus' AI platform to analyze clinical and molecular datasets for drug discovery and development. Involves client partnerships, data integration, and communicating technical results.

What you'd actually do

  1. Partner with our pharma clients to design, develop and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs.
  2. Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities.
  3. Stay ahead of research and industry trends in oncology drug development, and identify specific areas where the Tempus platform can establish new markets.
  4. Become an expert in our biopharma partners’ strategy, pipeline and portfolio to proactively determine all areas that the Tempus platform could add value to the drug development process of our partners.
  5. Document, summarize and communicate highly technical results and methods clearly to non-technical audiences.

Skills

Required

  • PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar). Alternatively, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology.
  • Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery and development
  • Strong understanding of molecular data and artificial intelligence in drug discovery with experience integrative modeling of multi-modal clinical and omics data
  • Proficient in R, Python, and SQ
  • Previous experience working with large transcriptome data sets.
  • Strong understanding of Cancer, Immunology, Clinical Trials and Real World Evidence Platforms

Nice to have

  • Prior consulting and/or client facing experience is highly desirable
  • Proven track record of developing solutions utilizing molecular and multimodal data.
  • Demonstrated ability to influence without authority (both with internal and external stakeholders
  • Proactive mindset that bridges ideas to implementable solutions, and can help move both internal and external stakeholders to quickly solve problems
  • Experience with communicating insights and presenting concepts to diverse audiences.
  • Strong peer-reviewed publication record.
  • Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS.
  • Team player mindset and ability to work in an interdisciplinary team.
  • Goal orientation, self motivation, and drive to make a positive impact in healthcare.

What the JD emphasized

  • Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery and development
  • Strong understanding of molecular data and artificial intelligence in drug discovery with experience integrative modeling of multi-modal clinical and omics data
  • Proven track record of developing solutions utilizing molecular and multimodal data

Other signals

  • Leveraging the Tempus platform to advance precision medicine research programs
  • Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities
  • Strong understanding of molecular data and artificial intelligence in drug discovery with experience integrative modeling of multi-modal clinical and omics data