Bioinformatician / Transcriptomics Expert & Business Translator (f/m/d)

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This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

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The Position

Connect Data with future-oriented Gene Therapy – as a Bioinformatician & Business Translator (f/m/d)

In the Cell & Gene Therapy unit of our Pharma Division, we bring innovative viral vector-based therapies from early clinical development to the market to unlock new methods of healing.

In our Data & Analytics team, our mission is to derive the best possible value from our diverse data.

As a Bioinformatician & Business Translator (f/m/d), you will take on a key role: You will uncover molecular mechanisms through in-depth analyses and simultaneously act as a strategic translator to lead cross-functional digitalization projects to success.

You will be intimately involved in the development and production processes of a gene therapy and embed a data-driven way of working throughout our entire unit.

Your key responsibilities


* You will design and implement pipelines for the analysis of high-throughput transcriptomics data (bulk RNA-seq, scRNA-seq), other omics data (metabolomics, proteomics), and process data to answer complex scientific questions.


* You will conduct in-depth biological interpretations (e.g., DEA, pathway analyses) and derive actionable recommendations for the project and process optimization strategy.


* As an expert in bioinformatics, you will evaluate and implement the latest digital methods and tools and actively share your knowledge within the team.


* You will act as a Business Translator by analyzing business processes and translating them into technical designs for the evaluation of complex data structures to automate and optimize workflows.


* In close collaboration with scientists, you will identify needs and potential for data analysis and create measurable added value through digital solutions.


* You will actively shape the Data & Analytics strategy for the Gene Therapy area and drive the implementation of FAIR data principles.

Who you are:


* A completed university degree (M.Sc., preferably Ph.D.) in Bioinformatics, Computational Biology, or a comparable field.


* At least three years of professional experience in the analysis of omics data (especially bulk RNA-seq, scRNA-seq) and in leading digitalization projects, ideally in a pharmaceutical environment.


* Excellent programming skills in R (especially Bioconductor), supplemented by knowledge of Python, SQL, and pipeline management tools (e.g., Snakemake, Nextflow).


* Outstanding communication skills to act as a "translator" between technical and n...