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. We are courageous in both decision and action. And we believe that good business means a better world.
That is why we come to work every single day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow.
We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world.
The Roche Innovation Center Zurich (Schlieren, Switzerland) is active in the research and development of engineered therapeutic antibodies, with a focus on the fields of cancer immunotherapy and immunotherapy in general. Part of the Roche Group since 2005, it employs about 180 people.
This internship offers the opportunity to work with the Data Science Department and to interact closely with a team of scientists with mixed backgrounds and capabilities applying advanced analytics to deepening our biological understanding and ultimately developing new medicines.
Your main tasks and responsibilities also include:
Analysis of public and in-house single-cell sequencing data, mostly in the area of oncology and immunology
Application of machine learning methods for batch correction and automated cell type annotation
Utilize results to address biological questions in the area of cancer immunotherapy
Data curation and integration
Align activities with a cross-functional and international team
Who you are
We are keen to discover talents who are passionate about learning and show great curiosity in discovering new things. We contribute our share towards achieving our mission and to make our vision of personalized healthcare happen. We offer you a multicultural workplace in a modern environment, which at the same time requires you to be open-minded and adaptable. You provide us with examples that prove your ability to cultivate collaborations with different partners. This also means that you continuously compare your results with others and acknowledge the benefit of collaboration and communications.
You are enrolled in or have recently completed your Master degree (not longer than 12 months ago) within computational biology, biology, biotechnology, informatics, pharmaceutical sciences, engineering or a related field. You are motivated to increase and share your theoretical and practical knowledge on this emerging and exciting field of data science and biology. You are an enthusiast of new technologies and you easily show engagement with people.
We are looking for the following qualifications:
Hands-on experience with programming, preferably in Python
Experience in quantitative biological data analysis, machine learning a plus
Basic biological understanding, preferably in immunology and oncology
Excellent organizational skills and a flexible approach to coordinate demanding workloads as well as the ability to adapt to changes
Ability to work effectively and independently within a diverse group of people
Written and verbal English is mandatory
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 & improve lives, apply now.
The preferred start date of the internship is September 2022 or upon availability. Please clearly indicate your preferred starting date and duration of the internship (preferably 6 months) on your motivation letter.
Applications need to include a CV and a motivation letter both merged in one document.
Due to regulations non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents.
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.
