Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
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.
The Data Health team focuses on decreasing the time to research for all users of Tempus' data. We build tools, processes, and models to remove or mitigate obstacles to obtaining actionable insights from the Tempus multimodal data set. We use a combination of machine learning, analytics, and knowledge of Tempus operations to reduce internal friction and get people better answers, faster.
We are seeking a highly motivated and capable Senior Data Scientist with experience and interest in oncology and/or pharmacology. Top candidates will also have experience with clinical and research data pipelines, working on cross-functional teams, and implementing robust, needs-driven, machine learning-backed solutions.
What you will do:
Qualifications:
Nice to haves:
Tempus is making precision medicine a reality through the power and promise of data and artificial intelligence. With the world’s largest library of clinical and molecular data, and an operating system to make that data accessible and useful, we enable physicians to make real-time, data-driven decisions to deliver personalized patient care, and in parallel, facilitate discovery, development, and delivery of optimized therapeutic options.
Chicago, IL, USA
2-4 year
Chicago, IL, USA
6-8 year
Bay Area, CA, USA; Boston, MA, USA; Chicago, IL, USA; New York, NY, USA
2-4 year