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We are part of Roche's Pharmaceutical Research and Early Development organization (pRED), where we tackle some of the world's toughest unmet healthcare needs by transforming science into medicines.
This position is in the Predictive Modeling and Data Analytics chapter, which focuses on generating insights from data. We collaborate with our therapeutic areas and functions to convert hypotheses into innovative therapeutics.
Nature of the Contract
Permanent or temporary contract - to be discussed
Job Mission
You will support us in generating deep insights from our data, driving our journey towards becoming a data-driven organization. You will contribute to developing safe and efficacious drugs and creating value for our portfolio and patients.
Your Impact
1. Create pooled pharmacokinetic/pharmacodynamic modeling datasets and descriptive datasets in compliance with internal guidelines and regulations.
2. Develop non-compartmental analysis datasets in accordance with company guidelines and regulatory requirements.
3. Conduct exploratory graphical analyses using existing models and consult with clinical pharmacometricians.
4. Participate in process-improvement initiatives.
5. Improve data processing, management, and decision-making processes via automation, data visualization, and interpretation.
Your Profile
1. Master's or Bachelor's degree in Mathematics and Statistics, or equivalent experience.
2. Proficiency in SAS and/or R programming languages.
3. Ability to analyze data, reach conclusions based on sound reasoning, and communicate effectively.
4. Understanding of drug development processes, including global clinical trial practices and methodologies.
5. Excellent verbal and written communication skills in English.
6. You prioritize customer needs, act boldly to deliver better results, and exhibit a growth mindset.
This position is located in Basel or Welwyn.
Our Commitment
We recognize talent, encourage personal growth, and provide a safe space for employees to reflect, make decisions, and develop their careers.
We value diversity and equal opportunity, and we strive to build an inclusive team representing different backgrounds, perspectives, and skills.