Data Scientist, Applied Machine Learning - Bay Area

Redwood City, CA

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Posted 3 weeks ago

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 applying state of the art techniques to the processing and analysis of vast amounts of clinical, molecular, and imaging data.

What You'll Do

  • Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine
  • Design and prototype novel data visualization and analysis tools and algorithms
  • Wrangle and analyze large diverse sparse datasets, extract insights, and drive further research opportunities
  • Interrogate analytical results for robustness, validity, and out of sample stability
  • Document, summarize, and present your findings to a group of peers and stakeholders

Qualifications

  • Degree in computer science, software engineering, statistics, machine learning, bioinformatics or related technical field
  • 2+ years full time employment experience building and validating predictive models on structured or unstructured data
  • Proficient in Python, and SQL
  • 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
  • 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
  • Experience with communicating insights and presenting concepts to diverse audiences

Nice to Haves

  • Kaggle.com competitions and/or kernels track record
  • Experience working with clinical and/or genomic data
  • Experience with AWS architecture
  • Experience with: Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask
  • Experience in agile environments and comfort with quick iterations
Job tags: AI AWS Engineering Healthcare JavaScript Linux Machine Learning NumPy Pandas Python Research Scikit-Learn SciPy Seaborn SQL