Location: Central New Jersey (2-3 days a week) / Remote to start
Compensation Target: ~$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 machine learning experts with -  among other things -  experience modeling biosensor data from wearables (ECG, accelerometer, PPG) to predict patient health deterioration within clinical trials.   

What you’ll do:

• R&D algos to detect subtle signs of deterioration in physiology using biosensor data in real-time.
• R&D algos to process sensor data, such as PPG, ECG, accelerometer, etc.
• R&D algos that use sensor data to building disease-specific models for patient’s health deterioration in clinical trials.
• Work with application developers and backend engineers to deliver the product
• 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:

• Ideally, a Ph.D. in a relevant quant field (i.e. Electrical Engineering, Biomedical, Biophysics, Biostatistics, Statistics, Computer Science, etc.)
• 5+ years of relevant experience as a Machine Learning Expert in the Industry
• 1+ years experience modeling biosensor data related to changed cardiovascular health
• Mastery in data analysis and modeling methods particularly in their application to pharma R&D Experience in the application of AI/ML, and proficient in SQL, Python, and R
• Significant industry and track record of leading statistical innovation

TO Apply: Ted O’Brien  [email protected]