Vice President – Data Science
| Company | Tempus |
|---|---|
| Location | Seattle, WA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- Education to Masters or PhD level combining quantitative and/or computational skills (Physics, Computer Science, Statistics/Statistical Genetics, Bioinformatics, or similar)
- Strong peer reviewed publication record
- Established track record in bringing assays or medical devices to market, preferably AI enabled SaMD
- Supervisory experience leading teams of 10+ individuals
- Thrive in a fast-paced environment and willing to shift priorities seamlessly
Responsibilities
- Lead end-to-end data science projects from problem definition to model deployment
- Collaborate closely with cross-functional teams, including business stakeholders, R&D, Clinical Development and Engineering to define project requirements and deliverables
- Apply advanced statistical and machine learning techniques to analyze large, complex real world data and extract actionable insights
- Develop predictive models and algorithms using multimodal data to advance patient care
- Collaborate with the GenAI team to develop new solutions that integrate and process diverse sources of data such as genomics, imaging, electronic health records
- Mentor and coach team members, providing guidance on best practices, methodologies and tools in data science/machine learning
- Stay up-to-date with recent developments in data science/machine learning for potential adoption
Preferred Qualifications
- Experience working with clinical and molecular cancer data