Director, Data Science - Machine Learning / DL

Company: Starbridge Partners
Location: Princeton, New Jersey, United States
Type: Full-time
Posted: 16.MAY.2021


[Exclusive Search] Location: Remote initially, then 50/50 in Central NJ Office Compensation: ~$350K+ All-in About Role: This is a new ...


[Exclusive Search]

Location: Remote initially, then 50/50 in Central NJ Office

Compensation: ~$350K+ 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 modeling complex RWE (Real World Evidence) or RWD (Real World Data) using the latest Machine Learning /Deep Learning techniques. Will include NLP, Image Analysis, Optimization, Biosensor Data Algos, etc.

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. Computational Linguistics, Biostatistics, Statistics, Computer Science, etc.) is preferred.
  • 4+ years of NLP, Machine Learning, and experience modeling Clinical Trial Data / RWD (Real World Data). Deep Learning experience is ideal.
  • 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, TensorFlow, Pyspark.

Apply Now


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