Senior Data Scientist - Cardiology

Bay Area, CA

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Tempus

Posted 1 month 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.

What You Will Do:

  • Analyze and integrate large diverse cardiac clinical, molecular and imaging datasets to extract insights, and drive research opportunities and product development.
  • Design and prototype novel analysis tools and algorithms for predicting disease onset, patient outcome and treatment response.
  • Collaborate with product, science, engineering, and business development teams to build and bring to market, the most advanced data platform in precision medicine.
  • Interrogate analytical results for robustness, validity, and out of sample stability.
  • Document, summarize, and present your findings to a group of peers and stakeholders.
  • Provide technical leadership & expertise across multiple modeling projects.

Required Qualifications:

  • PhD degree in a quantitative discipline (e.g. computer science, electrical/computer engineering, machine learning, bioinformatics, statistics, computational biology, applied mathematics, physics, or similar).
  • 5+ years of relevant industry or postdoctoral experience.
  • Outstanding analytical and problem solving skills, with a particular focus on understanding the intricacies of molecular or multi-modal data sets.
  • Strong experience working with cardiac clinical and imaging data and applying AI to solve problems in cardiology.
  • Expert-level experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: PCA, regression, deep neural networks, decision trees, gradient boosting, generalized linear models, mixed effect models, non-linear low dimensional embeddings and clustering.
  • Proficient in Python and SQL.
  • Experience with the following: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, and a machine learning framework such as TensorFlow, SageMaker, or PyTorch
  • Strong programming skills.
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly.
  • Experience with communicating insights and presenting concepts to diverse audiences.
  • Team player mindset and ability to work in an interdisciplinary team.
  • Goal orientation, self motivation, and drive to make a positive impact in healthcare.

 Preferred Qualifications:

  • Strong peer-reviewed publication record.
  • Experience with: Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS.
  • Experience working in a Linux / Mac and AWS cloud environments.
  • Experience in agile environments and comfort with quick iterations.
  • Technical leadership experience.

 

Job tags: AI AWS Engineering Healthcare JavaScript Linux Machine Learning NumPy Pandas Python PyTorch Research Scikit-Learn SciPy Seaborn SQL TensorFlow