Data Science Internship in Real World Data - Cardiovascular Risk Prediction
Basel Headquarter, Switzerland
Roche
As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
At Roche, we believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives, and we are fearless in both making decisions and taking action. And we believe that good business means a better world.
That is why we come to work each day. We commit ourselves to scientific rigour, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow.
The Opportunity:
You will be part of the Real World Data Science (RWDS) team and will be located in Basel. As part of the wider Data Science and Analytics department in the Late Stage Development unit of Roche’s Pharma division, we provide expertise in the conceptualisation, design, conduct and interpretation of RWD studies to help the development of and access to Roche’s medicines.
In this position, You will:
Explore existing AI-driven cardiovascular risk scores using real-world data to identify the impact of dynamic biomarker changes on risk estimation and treatment efficacy
Develop and validate a machine learning algorithm to improve cardiovascular risk prediction based on lab-measured biomarker changes over time (e.g., NT-proBNP, hsCRP, lipids)
Collaborate with experts in the Cardiovascular and Metabolic area to combine data science with clinical insights and prioritize key biomarkers for enhanced risk prediction
Document and share your findings and recommendations to influence future cardiovascular research and trial designs
Work with large-scale datasets and AI/ML techniques, gaining valuable professional experience and contributing to cutting-edge advancements at Roche
Who you are:
You have earned an M.Sc. within the past 12 months prior to the start date, or you are currently enrolled in a Master's degree or PhD program in data science, epidemiology, statistics, or a similar quantitative discipline, and have very good knowledge of programming in R or Python.
Successful applicants will demonstrate a keen interest to learn about new data, tools and methods, to experiment, and to complete the internship project within the allocated time. Prior experience and/or a keen interest in the specific project areas are a plus.
Moreover, you are:
Experienced or have a strong willingness to learn both analysis of large claims or electronic medical records data and report/publication writing
A person who works systematically and precisely and brings a high level of initiative as well as a dedicated attitude
A proactive and transparent team worker
Proficient in English
Experienced with machine learning for prognostic modelling (ideally on time series data) and/or familiarity with cardiovascular risk scores and biomarkers (e.g., NT-proBNP, hsCRP, cholesterol) is a plus
To be considered, please send us your:
CV
Motivation Letter (including desired start date & duration)
A certificate of enrolment (if you are currently studying)
Due to regulations, Non-EU/non-EFTA citizens are required to submit a certificate of enrolment along with an official letter from their university confirming that the internship is a mandatory component of their studies. The letter also must specify the duration of the required internship.
Starting June 2025 or, upon availability, for 4–6 months.
Willing to spend the majority of time on campus in Basel.
If you are proud of contributing and feel you have the dedication to teamwork and innovation that we are seeking, then Roche is the organization for you. Every role at Roche plays a part in making a difference to patients’ lives. If you want to work in a passionate team, make your mark and improve lives, apply now!
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.
We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
Roche is an Equal Opportunity Employer.
Tags: Machine Learning Pharma PhD Python R Research Statistics
Perks/benefits: Career development Equity / stock options Flex hours Medical leave Team events
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