Data Scientist

The Data Scientist will work in the client group as part of the Data Science Team and focus on a variety of Data Science projects across the board leveraging data from multiple internal R&D Systems and external Data Vendors enabling Data Driven culture across all R&D. The candidate will have direct accountability to build and productionize data science models and AI/ML tools allowing for proactive risk monitoring pattern detection and predictive analytics. This is a very technical role and we are looking for a candidate with strong technical acumen and passion for data science who stays current on AI/ML development.

Job Responsibilities:

• Apply descriptive predictive and prescriptive analytics to inform business decisions throughout all stages of clinical study.
• Build advanced statistical models and machine learning tools to support Forecasting Resource Allocation and Timeliness of clinical trial operational progress and milestones.
• Translate data analysis output into formalized messaging insights and actions using PowerPoint and communicate effectively to stakeholders.
• Analyze trial related data to support external benchmarking studies and extract insights from publicly available data sources to inform trial planning.
• Develop a centralized mechanism to analyze alert & predict the site- country- study- and portfolio-level risks & issues for ongoing and future clinical trial.
• Design the AI/gen-AI process to automate document review and implement chatbot functionality to facilitate data queries based on LLM framework.

Job Requirements:

• Minimum of 5 years experience as a Data Scientist in Pharmaceutical Industry working with Clinical Trials Operational data / Real World Data.
• Minimum of 5 years experience of coding in Python R / R Shiny leveraging data science libraries
• Strong experience in building supervised and unsupervised machine learning methods and deploying them into production (i.e. regression models random forests decision trees NLP clustering etc.)
• Strong problem-solving skills