Join Roche as a Data Scientist to leverage advanced analytics and machine learning to drive innovative healthcare solutions. Collaborate with cross-functional teams to transform complex data into actionable insights that improve patient outcomes and accelerate research.

Roche is seeking a talented Data Scientist to join our dynamic team in Penzberg, Bavaria, Germany. In this role, you will play a pivotal part in our data-driven approach to advancing healthcare innovation. You will analyze vast datasets from clinical trials, genomics, and patient records to uncover patterns and develop predictive models that inform drug discovery and personalized medicine.

Key responsibilities include:

• Designing and implementing machine learning algorithms to solve real-world problems in drug development and diagnostics.
• Collaborating with biologists, clinicians, and IT professionals to integrate data science into the research pipeline.
• Building scalable data pipelines and ensuring data quality and integrity.
• Presenting insights and recommendations to senior leadership to guide strategic decisions.
• Staying abreast of the latest advancements in AI and data science to apply them effectively within Roche's ecosystem.

This position offers the opportunity to work on groundbreaking projects that have a global impact on patient care. If you are passionate about using data to make a difference in healthcare, we encourage you to apply.

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
• Proficiency in Python, R, or similar programming languages for data analysis and modeling
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong knowledge of statistical methods and data visualization tools like Tableau or Matplotlib
• Familiarity with big data technologies (e.g., Hadoop, Spark) and SQL
• Excellent problem-solving skills and ability to communicate complex findings to non-technical stakeholders
• Prior experience in healthcare or pharmaceutical industry is a plus

• Competitive salary and performance-based bonuses
• Comprehensive health insurance and wellness programs
• Generous vacation and flexible working hours
• Professional development opportunities including certifications and conferences
• Collaborative and innovative work environment with access to cutting-edge tools
• Relocation assistance if applicable
• Pension contributions and employee stock purchase plan