Director, Data Science (Deep Learning / ML )

Company: Starbridge Partners
Location: Princeton, New Jersey, United States
Type: Full-time
Posted: 11.AUG.2021
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Summary

[Exclusive Search] Location: NJ Office (Remote then hybrid home and office split) Compensation: ~$300K+ All-in (based on experience) Ab...

Description

[Exclusive Search]


Location: NJ Office (Remote then hybrid home and office split)

Compensation: ~$300K+ All-in (based on experience)


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 very strong Machine Learning and Deep Learning R&D skills.


Experience modeling complex clinical trial, real-world data (RWD) using the latest NLP and Image Analysis techniques/algorithms including Deep Learning is a big plus


Ideal candidates will possess a PhD-level training and have 5+ years as a Data Scientist within Industry. Strength in NLP, Image Analysis, Optimization, or Real World Data is essential.


What you'll do:

  • Work with stakeholders 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. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 10+ years of relevant experience
  • Mastery in data analysis and modeling methods particularly in their application to pharma R&D Experience in the application of AI/ML
  • Significant industry and track record of leading statistical innovation
  • Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data
  • You will need to be comfortable operating with big data in the cloud
  • Ideal Technical skills: Python, SQL, AWS, Sagemaker, Tensorflow, Pytorch, Pyspark.

 
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