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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 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 (. 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 non-technical teams and to communicate complex issues in an understandable way.

• Proven experience in leading digital projects and guiding change management processes.

• A proactive and creative mindset with the drive to continuously question design and digitalize processes.

• Business-fluent English for efficient collaboration in a global environment.

This position is limited to a 2-year term.

Your Application

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