Staff Machine Learning Scientist (Cardio)

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 clinical, molecular and imaging datasets to extract insights, and drive research opportunities.
• Design and prototype novel analysis tools and algorithms for predicting patient outcome and treatment response.
• Collaborate with product, science, engineering, and business development teams to build 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, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, physics, or similar).
• 3+ years of relevant industry or postdoctoral experience.
• Outstanding analytical and problem solving skills, with a particular focus on understanding the intricacies of multi-modal medical data sets.
• Experience working with clinical, electrocardiography, genomic, or imaging data.
• Expert-level experience with supervised, self-supervised and unsupervised machine learning algorithms, such as: regression, generative modeling, deep neural networks, gradient boosting, non-linear low dimensional embeddings and clustering.
• Proficient in Python and SQL.
• Experience with machine learning frameworks such as TensorFlow 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
• Familiarity with cloud computing services
• Experience building machine learning based models towards cardiovascular outcomes
• Experience working with structured and unstructured Electronic Health Records
• Experience with signal processing and modeling ECGs
• Familiarity with natural language processing 
• Experience in agile environments and comfort with quick iterations.