Internship on Predicting Adverse Drug Reactions Using RWD - During PhD Studies (6-12 Months)
Basel Headquarter
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
In Roche's Pharmaceutical Research and Early Development organisation (pRED), we make transformative medicines for patients to tackle some of the world's toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicine. 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. Pharmaceutical Sciences (PS) is a global function within pRED. This internship position is located in the Enabling Science chapter of PS.
Job Mission
The adverse drug reactions (ADRs) potential of a drug can vary significantly across patients. Many factors can influence the ADR potential on an individual patient level, including comorbidity patterns, genetic predisposition, and concomitant medication. Understanding and characterising the complex interactions between drug-related risk features and patient-specific risk factors is important to ensure the safe and effective use of the medicine.
As an Intern, you will join a cross-functional team of scientists and data scientists to work on building and evaluating machine learning models to predict ADR events, focusing on cytokine release syndrome, using the company’s extensive real-world data assets (e.g., electronic health records).
You Will:
Perform comprehensive data analysis, feature engineering, and selection.
Evaluate machine learning model performance and conduct error analysis.
Explore and use different real-world data assets, including electronic health records.
Who You Are:
Currently enrolled in a PhD program in Immunology, Immuno-Oncology, or a related field, and maintaining enrollment throughout the entire internship
Strong knowledge of immuno-oncology, immunology would be a plus
Strong capabilities in data analysis, preferably using Python.
Experience or strong interest in running and evaluating machine learning models.
Knowledge of machine learning techniques and their applications is a plus.
Familiarity with reproducible research practices like version control.
Strong communication and collaboration skills.
Information about application documents and start date:
The internship will take place in Basel.
The preferred date of the internship is January 2025 or upon availability – please clearly indicate your preferred starting date of internship on your motivation letter.
Applications need to include a CV and a cover letter, as well as a letter from your academic supervisor supporting your application to this internship position.
For non-EU/EFTA citizens: due to regulations, enrollment at the university for the entire internship is required and a letter from the university stating that the internship is mandatory for your studies. The letter should also specify the required length of the internship. Please upload this mandatory letter and your enrollment certificate along with your CV and motivation letter.
Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety 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.
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
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: Data analysis Engineering Feature engineering Machine Learning ML models Pharma PhD Python Research
Perks/benefits: Career development Equity / stock options Flex hours Medical leave Team events
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