Job Detail

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 and we are fearless in both decision and action.

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.

Roche Pharma Research and Early Development (pRED) translates extraordinary science into medical innovation through a diversity of technologies and talent located across seven research sites worldwide. We deliver on individual patient needs through a deep understanding of disease biology and the implementation of Personalized Healthcare strategies.

You would like to play an active part in doing now what patients need next?

Position:
Pharmaceutical Sciences (PS) is a global function within Roche Pharma Research and Early Development (pRED). We enable discovery and early development of drug candidates in a rich portfolio of small molecules, large molecules, oligonucleotides and gene therapies in oncology, immunology, neuroscience, ophthalmology, rare and infectious diseases.

As a team member in the Bioinformatics and Exploratory Data Analysis group (BEDA), you will work in close collaboration with scientists in Roche Pharma Research and Early Development
(pRED) using state-of-the-art bioinformatics and biostatistics tools and methods. The main focus of this position is the implementation of a pipeline to process and analyse metagenomics/microbiomics data in the context of pharmaceutical research.

In this role your main responsibilities are to:

• be a key contributor and bioinformatics/biostatistics lead in cross-functional teams contributing to biomarker discovery and development


• apply analytical skills on microbiome data for the understanding of disease progression and drug response heterogeneity


• evaluate tools and methods for metagenomics analysis


• develop a pipeline to process metagenomics data and data management of metagenomics data


• develop visualization tools of metagenomics data


• mining of public and internal microbiomics data

Qualifications:

• PhD in computational biology, bioinformatics, statistics or related field


• 4+ years of experience in academic or industry setting


• Proficiency in working with bioinformatics tools and methods


• Strong background in statistics and/or machine learning


• Good knowledge of Python, R or at least one programming language


• Good communication skills in English

In addition

• Previous experience in microbiomics data analysis


• Previous experience in host-microbiome and microbiome-metabolite interactions would be beneficial


• Basic knowledge in biological sciences would be beneficial

Who you are
You are someone who wants to influence your own development. You are 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 highly self-motivated, interested in working in a multinational company and you have good programming skills.

Application needs to include a CV and a brief motivation letter.