Roche postdoctoral Fellowship - Computational Biology / Bioinformatics (2 years)

Job description

  Job facts

The Roche Postdoctoral Fellowship (RPF) program is aimed at supporting excellent young scientists focusing on collaborative R&D projects between Roche and international academic institutions. Both internal Roche and academic experts will mentor you, and you will have the potential to perform hands on research in both lab environments.

The partnership with academia is an important aspect of our program's approach. This position is initially for 2 years but an extension for a third year is possible, depending on project progress.

As a PostDoc in the Bioinformatics and Biostatistics group in Basel you will be an integral part of the “CRISPR screening in Cancer Immunotherapy” team and will collaborate closely with various project teams from the Oncology research department.

You will also:
·  Be responsible to develop and implement best practice solutions to analyze CRISPR/Cas9 functional screening data with focus on the development of novel computational methods;
·  Identify, characterize and prioritize novel cancer immunotherapy targets derived from these screens;
·  Work with international, inter-disciplinary teams, learning and exploring new fields.

·  Who we are

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 8,500 people from approximately 90 countries work in Basel, which is one of Roche`s largest sites. Read more .

Roche is an equal opportunity employer.

Desired profile

Who you are

You're someone who wants to influence your own development. You're looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.

You are expected to perform your research to the highest standards and integrity and publish your results in high quality, peer reviewed journals.

You have the following qualifications:
·  You hold a PhD (or equivalent degree) in bioinformatics, computer science or statistics (or molecular biology with strong bioinformatics background);
·  You have excellent capabilities in computational science including statistical programming skills (e.g. R);
·  In your PhD research, you have demonstrated proficiency working with bioinformatics tools, and the development of novel computational methods; a strong background in the analysis of RNA sequencing data is a plus;
·  You have profound knowledge in biological sciences (especially cancer immune therapy);
·  You show strong team spirit and excellent communication skills in English.
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