Data Wrangling Enthusiast: Student Internship in Clinical Pharmacology Data Science (m/f/d, from January 2024, for 6 months)

Key Skills

Data science techniques, Effective communication skills, Python Programming, R Programming, R-Shiny, SAS, Writing

Job Description

This position is located in the Predictive Modeling and Data Analytics (PMDA) 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 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

Job mission

• Redesign of the NCA (Non-Compartmental Analysis) data order/request
• Automated creation of ADAM.ADNCA dataset from SDTM.PC and SDTM.EX datasets (with automated workflows and Admiral (R package from the Pharmaverse))
• Automated plot creation to assess quality and data coherence
• Developing an R Shiny Application for Executing NCA
• SDTM.PP dataset creation according to GDSR (Global Data Standards Repository)
• Automated creation of ADAM.ADPP dataset

Your impact and main responsibilities

The aim of this internship is to play a role in the Automated Non-Compartmental Analysis (aNCA) project, a 2-years initiative designed to streamline the generation of datasets and outputs for submission to health authorities during Phases 1 and 2 of clinical trials. The project involves around 15 team members, and the intern will be fully dedicated to working on this project to enhance the automation of data and output workflows.

Your Profile

• You're currently pursuing your Master's degree in data science or computer science or related fields, or you've completed your studies within the last 12 months from the start date
• Strong coding skills in R and/or Python, the knowledge of SAS is a plus
• Proficiency in English (written, spoken)
• Team player, good communicator, focused working style with the mindset to deliver
• Knowledge of clinical data standards (CDISC) or NCA/Certara Phoenix™ is a plus
• Expertise in Data Handling and Data Quality is crucial for this role

In addition to your scientific expertise and critical technical skills, we are looking for candidates who:

• are curious and have a growth mindset along with a keen willingness to foster the education of others on complex themes and technologies
• are resourceful and flexible in problem solving, have excellent organizational skills, and are able to work in agile matrix teams with a sense of urgency in a fair, open and collaborative manner, ensuring that everyone has the required information at all times

Our commitment 

Roche commits to recognizing talent and aptitude. We prioritize 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.

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.