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
This role is based in the Product Development Data Sciences department which is dedicated to providing world-class trial designs as well as statistical insights and analytics for both clinical trial and real-world data. We partner closely with experts from different functions within our company, academics, and Health Authorities to innovate and bring more safe and effective drugs to patients faster and at a lower cost to society.
The opportunity
Roche is seeking a highly motivated and talented Data Scientist Intern to join our team in developing new endpoints based on Digital Health Technology (DHT). This internship offers a unique opportunity to work on cutting-edge projects that have the potential to transform the way we diagnose and treat neurological diseases and how DHTs impact drug development.
Traditional clinical endpoints in neurological diseases have well-known shortcomings, including high variability and lack of sensitivity to change. Wearable devices generate large amounts of high-frequency data from participants' daily environments. This presents both opportunities and challenges for the analyst. The objective of this internship is to identify, implement, develop, and evaluate various analysis approaches for the high-frequency “raw data” from sensors.
During the internship, you will have the opportunity to:
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Learn about state-of-the-art algorithms for passive activity/gait analysis.
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Develop and implement novel data analysis methods for quality checks and activity/gait analysis using wearable Inertial Measurement Unit (IMU) technology.
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Apply AI/ML methodologies, such as deep learning, to analyze high-frequency "raw data" from wearable sensors.
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Develop prediction models for disease evolution.
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Compare results to clinical data collected in Roche and external studies.
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Present findings to our internal Roche community.
Who you are:
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Completed or close to finishing a MSc or doing a PhD (or equivalent) in Data Science or a related discipline.
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Experience with time-series data and signal processing.
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Knowledge of Machine Learning fundamentals.
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Strong programming skills in Python (required) and R (optional).
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Effective communication skills in English.
Preferred:
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Experience with biosensors and biomechanical models.
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Experience with Machine Learning in Python.
We are looking forward to your application!
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.
