PK/PD Data Scientist

Key Skills

Data Analytics, Data science techniques, Effective communication skills, Large data sets, Planning and organization, Presentation skills, R Programming, SAS

Job Description

The Position

In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.

This position is located in the Predictive Modeling and Data Analytics chapter, a chapter within the Pharmaceutical Sciences function, where generating insights from data is a primary focus area. We closely collaborate with our therapeutic areas and functions to convert hypotheses into innovative therapeutics.

Nature of the contract

Permanent or temporary (2 years) contract - to be discussed

Job mission

As a member of our team of data 2 insights experts you support the organization to generate deep insights from our data, driving our journey into becoming a data savvy, efficient and data driven organization. You will contribute to our prime responsibility of developing safe and efficacious drugs creating exceptional value for our portfolio and for patients.

Your impact

• Lead the creation of pooled and ready to use pharmacokinetic/pharmacodynamic (PK/PD) modeling datasets (e.g. NONMEM® dataset) and descriptive datasets in compliance with Roche internal guidelines, standard operating procedures (SOPs) and Health Authority guidelines through high quality programs
• Lead the creation of PK non-compartmental analysis (NCA) datasets in compliance with Roche internal guidelines, SOPs and Health Authority guidelines through high quality programs
• Conduct exploratory graphical analyses and model-based graphical analyses using existing PK/PD models (e.g. bayesian feedback analysis) in consultation with the clinical pharmacometrician
• Contribute to process-improvement initiatives
• Seek for improvement in our data (e.g. via automation, data processing, data management) and decision makings (data visualization, data interpretation) processes.

Your profile

• Master of Science (M.S.) or Bachelor of Science (BSc) or equivalent experience in Mathematics and Statistics
• Efficient in SAS and/or R
• Ability to process information, analyze data, and reach conclusions based on sound reasoning
• Good understanding of drug development process including global clinical trial practices, procedures, methodologies
• Highly effective verbal and written communication/presentation skills in English
• You are obsessed with meeting customer needs. You put yourself in your customers place and act boldly with them to bring better results to patients.
• You exhibit a growth mindset. You ask for feedback and act on it. You embrace opportunities to gain new skills and perspectives and provide honest feedback to others to help them grow.

Your location

This position is located in Basel or Welwyn

Our commitment

Roche commits to recognising talent and aptitude. We prioritise encouraging and supporting our employees on their personal journeys by providing a safe, creative space to help them reflect, make decisions and grow in their career.

We are confident that we find the most innovative solutions by gaining different perspectives, asking and answering hard questions, and challenging the status quo. Roche embraces diversity and equal opportunity in a serious yet enthusiastic way; we are devoted to building a team that represents a range of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.