Location: Remote to start, but Central NJ in 2021. 
Compensation: ~$300K+ All-in

About Role:
This is a new position. You will join a new cutting-edge Data Science team to advance the global drug development process. We are looking for candidates with experience in optimizing complex systems. 

Ideal candidates will possess a PhD-level training and have 4-10 years of experience as a Data Scientist and baseline knowledge of biology/drug development. 

What you’ll do:

• Work with stakeholder to develop, implement and apply state-of-the-art algorithms to address key business problems
• Develop novel ways of integrating, mining, and visualizing diverse, high dimensional and disparate data sets
• Drive the development and implementation of innovative statistical methods, novel trial designs, etc.
• Drives translation of digital health analytics; use of modern data processing learning capabilities including ML, AI, deep learning, and beyond.
• Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale.
• Responsible for collaborating with cross-functional teams, including but not limited to, clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals.
• Manages and coordinates limited resources to produce quality deliverables within timelines for competing priorities.

Key Requirements:

• Ph.D. in a relevant quant field (i.e. Biostatistics, Statistics, Computer Science, etc.) and 10+ years of relevant experience
• Extensive experience in optimization algorithms for complex systems
• Significant track record of leading innovation
• Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data is big PLUS

TO Apply: Email Ted O’Brien  [email protected]