Benefit Risk Data Scientist — AI & Analytics Lead

Bayer; Reading; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global life sciences company is seeking a Benefit Risk Management Center of Excellence Data Scientist to lead Data Science projects. This role involves developing innovative data solutions, utilizing advanced analytics and AI technologies. The ideal candidate must possess a Master’s degree, extensive experience in data science, and strong skills in machine learning and statistical analysis. This position supports global safety leaders and contributes to regulatory compliance in pharmacovigilance, offering a flexible hybrid working model.

Benefits

Competitive compensation package

28 days annual leave plus bank holidays

Private Healthcare

Flexible and Hybrid working

Qualifications

• Master's degree and long-term relevant experience required.
• Expert understanding of technology landscape and data pipeline.
• Several years of experience in pharmacovigilance preferred.
• Excellent communication and presentation skills required.
• Knowledge of data science models and methodologies required.

Responsibilities

• Lead Data Science and Analytics projects for medical questions.
• Develop innovative solutions using novel technologies for data analysis.
• Support PV and BRM transition to utilize novel technologies.
• Identify and implement AI-driven solutions to automate workflows.

Skills

Data science methods

Machine learning

Statistical analysis

Database querying (SQL)

Communication skills

Education

Master’s degree in Information Systems or computer science

Tools

Spotfire

Excel

Python

R

Job description

A leading global life sciences company is seeking a Benefit Risk Management Center of Excellence Data Scientist to lead Data Science projects. This role involves developing innovative data solutions, utilizing advanced analytics and AI technologies. The ideal candidate must possess a Master’s degree, extensive experience in data science, and strong skills in machine learning and statistical analysis. This position supports global safety leaders and contributes to regulatory compliance in pharmacovigilance, offering a flexible hybrid working model.