The data scientist will be responsible for supporting Gilead’s PDM (Pharmaceutical Development and Manufacturing) department’s greater use of data in reporting, analytics, visualizations, and obtaining insights. They will be responsible for be applying data sciences techniques to continue to improve our knowledge management, perform predictive analytics, and identify trends in scientific and operational data sets. Furthermore, they will advance artificial intelligence and machine learning throughout PDM to uncover patterns, correlations, and new insights in data that would otherwise be difficult to do due to large data volumes and data in various systems with different data models and structures
Required Skills and Education
Experience managing data science teams
Degree in computer science, math, statistics, life science or equivalent experience
Extensive data modeling and data architecture skills
Programming experience in Python and R. You should know the limits and benefits of statistical programming languages.
Lower level programming experience in languages like C#, C++ or Java
Background in machine learning frameworks such as TensorFlow and Keras
Expertise in common R and Python packages like GGplot, DPLYR, and Plumber
Knowledge of how to analyze and manage large data sets as well as strategies for visualizing and communicating results to solve business needs
Knowledge of Hadoop or another distributed computing systems is a plus
Experience working in an Agile environment
Advanced math skills (linear algebra, Bayesian statistics, group theory)
Strong written and verbal communications
Familiarity with cGMP, computer validation concepts and pharmaceutical regulatory compliance, including data integrity, quality analytics, 21 CFR Part 11, EU Annex 11, and familiarity with as 21 CFR parts 58, 210, 21 is a plus.
Job ID: R0010039