Student Internship in Bioinformatics - Data integration with a computational network model of T cells (6 Months)

Job description

  Job facts

Our team consists of scientists working in the field of bioinformatics and computational biology. We develop algorithms and data-analysis pipelines to identify genes, pathways, and biological networks modulated by diseases, and to assess efficacy and safety of new drugs using molecular information. We aim at integrative understanding of diseases and systematic characterization of Mechanism of Action of drugs. In addition, we support research and development projects with bioinformatics and computational biology expertise.

As the successful candidate, you will be part of the multidisciplinary Translational Technologies and Bioinformatics team.

During the internship you will:

·  Construct a Boolean network model of T cells
·  Perform data integration with a model of T cells, extract large-scale data on gene expression, epigenetic regulation, regulatory interactions, etc.
·  Integrate internally or public domain data and integrate them with the model.
·  Make simulations and predictions about the effect of perturbations to the network
·  Identify novel targets and to understand mode-of-action of existing therapeutic agents that are under development.

Learnings:

·  Gain first-hand experience in applying computational biology approaches to solve problems in disease and drug research projects
·  Work together with computational and wet-lab biologists

·  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 an enrolled student in a Master or PhD program in biology, mathematics, physics, informatics or a related field. We are looking for a highly motivated person, who wants to learn more about Molecular Phenotyping.

Moreover you are/have:

·  Programming skills in R, python, C/C++, or Java
·  Attended courses or internships on both immunology and bioinformatics (or related fields)
·  Strong interest in developing open-source software that allows modelling and integration of data

The starting date of this internship is 01.07.2017.

Please clearly indicate your preferred starting date in your cover letter.

Applications need to include a CV and a motivation letter.

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

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