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Tempus AI

Vice President, Data Science

Reposted Yesterday
Be an Early Applicant
Hybrid
5 Locations
250K-385K Annually
Expert/Leader
Hybrid
5 Locations
250K-385K Annually
Expert/Leader
Lead a data science team to develop algorithms using clinical and molecular data, delivering actionable insights for improved healthcare solutions.
The summary above was generated by AI

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’ll Do:

We are seeking an entrepreneurial candidate to lead a team of data scientists leveraging clinical, molecular, and imaging data to develop novel algorithms and validate them clinically, so they can be utilized by clinicians and life science partners. The ideal candidate will have 12+ years of hands-on experience in data science, with a proven track record of delivering innovative, impactful solutions.

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

Required Qualifications:

  • 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

Preferred Qualifications:

  • Experience working with clinical and molecular cancer data

Illinois Pay Range - $250,000 - $350,000 USD

New York Pay Range - $275,000 - $385,000 USD

California Pay Range - $275,000 - $385,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Top Skills

Clinical Data
Computational Skills
Data Science
Genomic Data
Machine Learning
Statistical Techniques

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