BRM Data Scientist & AI Solutions Leader (Hybrid)

Bayer SAS; Reading; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A global pharmaceutical company is seeking a Data Scientist to lead data science and analytics projects. This role includes collaborating across multiple teams to develop innovative solutions and integrate AI technologies into operations. A strong background in data science, machine learning, and project management is necessary. The ideal candidate will have a Master’s degree and proven experience in scientific or pharmaceutical environments, contributing to the advancement of benefit-risk assessments and compliance regulations.

Benefits

Competitive salary

Annual company bonus

Private Healthcare

Generous pension scheme

Wellness programs

Flexible working

Support for learning opportunities

Qualifications

• Master's degree and relevant work experience is required.
• Professional experience in natural sciences is preferred.
• Several years experience in pharmacovigilance is preferred.
• Excellent communication and presentation skills are essential.
• Knowledge of AI and machine learning concepts is required.

Responsibilities

• Lead Data Science and Analytics projects across BRM.
• Develop BRM data science and analysis strategies.
• Support transition to novel technologies for analytical tools.
• Collaborate to integrate AI into BRM platforms.
• Design robust experiments for AI solutions.

Skills

Data science

Machine learning

Statistics

Python

R

Database management

Project management

Education

Master's degree in Information Systems or Computer Science

Tools

Spotfire

SQL

Excel

Job description

A global pharmaceutical company is seeking a Data Scientist to lead data science and analytics projects. This role includes collaborating across multiple teams to develop innovative solutions and integrate AI technologies into operations. A strong background in data science, machine learning, and project management is necessary. The ideal candidate will have a Master’s degree and proven experience in scientific or pharmaceutical environments, contributing to the advancement of benefit-risk assessments and compliance regulations.