Vice President, Data Science

The Rundown AI, Inc.; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

An established industry player is looking for an entrepreneurial leader to guide a team of data scientists in advancing precision medicine through innovative data science solutions. This role involves leveraging clinical, molecular, and imaging data to develop and validate algorithms that enhance patient care. The ideal candidate will have extensive experience in data science and a proven track record of impactful solutions. Join a dynamic team that thrives in a fast-paced environment and is dedicated to making a meaningful difference in healthcare.

Qualifications

• 12+ years of hands-on experience in data science.
• Strong peer-reviewed publication record in relevant fields.

Responsibilities

• Lead end-to-end data science projects from problem definition to model deployment.
• Collaborate with cross-functional teams to define project requirements.

Skills

Data Science

Machine Learning

Statistical Analysis

Algorithm Development

Team Leadership

Education

Master's or PhD in relevant field

Tools

Python

R

TensorFlow

Job description

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. The Data Science organization has been established to leverage data science, genAI and data analytics to provide critical information about the right treatments for the right patients, at the right time.

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