Data Scientist – Clinical & Operational Analytics

Role Overview

Lead and execute clinical and operational advanced analytics or system improvements, developing novel data science methodologies to generate deep insights from disparate data sources.

What You Will Do

Develop machine learning methodologies, perform exploratory data analysis, and ensure life cycle management of models through code repositories and version control tools.

Why It Might Be a Fit

Individuals with a minimum of 5 years’ experience in data science, statistics, or related disciplines, or a Ph.D. degree, are required to translate business requirements and influence analytics capabilities.

Requirements

• Minimum of 5 years’ experience in data science, statistics, or related disciplines
• Master’s degree in data science, statistics, Informatics, operations research, computer science, engineering, or information systems
• Ph.D. degree in data science, statistics, Informatics, operations research, computer science, engineering, or information systems
• Strong working knowledge of traditional statistical methodologies
• Strong working knowledge of machine learning methodologies
• High proficiency in one of the programming languages either Python or R or equivalent
• Familiarity of best practices in machine learning model development, validation, and deployment
• Solid understanding of life cycle management of the code and code repositories
• Extensive experience with data wrangling, data preprocessing, and data engineering techniques on large datasets
• Technical expertise in pharmaceutical clinical or a regulated industry operation
• Excellent communication, interpersonal, and written skills
• Analytical Ability /Quality Results Oriented
• Customer Focus
• Global Business Mindset
• Innovation & Transformation
• Solutions Oriented
• Language requirements – Proficient in English
• Certifications – Preferred any data science certifications or relevant education