Senior Data Scientist

Redwood City, California, United States, Chicago, Illinois, United States, New York, New York, United States, Remote

Full Time Senior-level / Expert
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Tempus is a technology company that has built the world’s largest library of clinical and molecular data and an operating system to make that data accessible and useful, starting with cancer.
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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.

We are looking for data scientists who are passionate about helping teams build, validate, and deploy machine learning models at scale, maintaining performance throughout the model lifecycle, and building tools to provide model explainability and transparency.

What You'll Do

  • Collaborate with data science, product, research, and engineering teams to translate prototype models into production clinical alogrithms
  • Design and build solutions for model validation, monitoring, and explainability using custom, open source, and commercial software
  • Support models in production and assist model owners with troubleshooting performance issues
  • Document and communicate your solutions to teams of users and stakeholders


  • Degree in computer science, software engineering, statistics, machine learning, bioinformatics or related technical field
  • 3+ years full time employment experience building and validating predictive models on structured or unstructured data
  • Proficient in Python, SQL, Git
  • Experience with the following: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks
  • Experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: K-Means, PCA, Regression, Neural Networks, Decision Trees, Gradient Boosting
  • Experience working in a Linux / Mac environment and with cloud computing services
  • Outstanding programming and problem solving skills
  • Self-driven and work well in an interdisciplinary team with minimal direction
  • A strong desire to understand why things work the way they do
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly

Nice to Haves

  • Experience with GCP architecture, especially Vertex AI/Kubeflow/TFX
  • Experience with: Flask, Docker, Kubernetes
  • Experience in agile environments and comfort with quick iterations
  • Experience working with clinical and/or genomic data
Job region(s): Remote/Anywhere North America
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