Location: New Jersey
Compensation: Very competitive for NYC Area

About Role:
This is a new position. You will join a new cutting-edge Data Science team as a Senior Data Scientist to advance the global drug development process. We are looking for candidates with experience modeling complex clinical, real-world data (RWD) using the latest NLP and Image Analysis techniques/algorithms including Deep Learning.

Ideal candidates will possess a PhD-level training and have 2 years of experience as a Data Scientist in the drug development field.

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, Computational Biology, Statistics, Computer Science, etc.)  and 2+ years of relevant experience
• Some experience doing data analysis and modeling methods particularly in their application of AI/ML,
• Significant industry and track record of leading statistical innovation
• Strong knowledge of programming languages, with a focus on machine learning (Python, Spark, R, Tensorflow, Sagemaker, etc)
• Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data

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