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The Position

Your department

It is the vision of our department to develop next generation diagnostics for the benefit of patients in various medical fields. To this end, we work in close and continuous communication with the other departments within Roche Diagnostics R&D. The major challenge in our department is the development of highly specific and sensitive antibodies for in vitro diagnostics. We are already one of the top players in this field and intend to further expand this position. Our antibodies are used on different Roche Diagnostics platforms in large central laboratories and in the point of care area.

Your Team

You will become a member of our diverse collaborative team of highly skilled and experienced in silico and lab co-workers, from various disciplines, in the R&D-Early Development Department of Roche Diagnostics. The team focuses on developing antibodies with ultimate specificity and high affinity to tackle the increasing challenges in in vitro-diagnostics. As part of the R&D Department of Biostatistics and Data Science, you will find more than 30 other colleagues working as statisticians, physicists and bioinformaticians. 

Your objectives/tasks

• In a team of data scientists and top biologists you will drive the data workflow and data analysis needed for the laboratory of the future

• A strong focus lays on the automated data recording and automated reporting for a multitude of complex laboratory setups    

• You will use actual machine learning / deep learning methodologies to assist the colleagues in the laboratory to find the ideal antibody in a short time

• You will design novel algorithms to improve and speed up the experiments involved in the antibody development process

• You will collaborate and coordinate with internal project teams and experts to test these algorithms

• You will maintain and expand on existing databases of antibody data

The ideal candidate

• You have university degree in bioinformatics, data science, (bio-)physics, mathematics, informatics or related subjects

• Expertise in machine learning and data analysis

• Solid programming skills in either Python, Perl, R, Java or similar languages

• Experience with data visualizations tools such as Tableau or Spotfire

• Experience with databases (Oracle, SQL)

• Profound knowledge in multivariate analysis, dimensionality reduction methods and modern classification methods

• Experience using common machine learning / deep learning frameworks (tensor flow, torch, keras) is of advantage

• A strong interest in antibodies and immunology is recommended

• Team player spirit: you enjoy working in a highly motivated team of experts

• Presentation skills: you are used to present yourself and your work in English in a clear and convincing way

 This position is limited to 2 years.

Application documents

To make the application process as convenient as possible for you please add only your updated CV. References and certificates are not required at this stage.

We look forward to receiving your application!

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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.

Roche at Penzberg, near Munich, employs more than 7,000 people. The site is one of the largest biotechnology centers in Europe and the only Roche site with research, development and production for both Pharmaceuticals and Diagnostics under one roof. From your beginning with Roche, our motivated team will welcome and support you. Numerous opportunities for personal development, flexible work hours, attractive compensation packages and special family assistance programs are available.

Roche is an Equal Opportunity Employer.