10th March, 2025
Exciting opportunity with a Global Pharmaceutical Company, based in Germany.
Tasks & responsibilities
- As a member of the Computational Biology Data and Infrastructure team you will contribute to the generation of standardised and high-quality data assets from sources of omics data.
- In close collaboration with the computational biology teams, you will support downstream omics data enablement and integration, covering the complete data life cycle from conceptual design to ready-to-use downstream derivative data that adhere to FAIR principles.
- You will drive value generation by ensuring the delivery of the right data asset to the computational biology teams.
- As part of an experienced team, you will take ownership of complex data processing pipelines for multimodal omics data sources, and you will contribute to the development of our data assets, including computational biology pipelines creation & optimisation and database development.
- Since data sources can often be external to the company, you will be responsible for setting the standardisation processes to homogenise data quality and formats.
- You will work together with our genomics laboratory to optimise our NGS end to end workflow.
- You will closely collaborate with different stakeholders to continuously enhance our capabilities for modelling, integrating and processing of data.
- Furthermore, you will conceptualise and drive the implementation of scalable innovative software solutions for downstream data analysis and visualisations, based on the needs of users within our department.
- You will contribute to operational excellence by improving our day-to-day departmental processes.
Additional tasks & responsibilities for Principal Scientist - As principal scientist you will conceptualise and drive the implementation of scalable innovative software solutions for downstream data analysis and visualisations, based on the needs of users within our department.
- You will be responsible for the stakeholder management of the computational teams and enable close collaboration by fostering positive interactions.
- In addition, you will take the lead in large scale projects by proposing innovative solutions & cutting-edge methods to internalised within our infrastructure.
Requirements
- PhD in Computer Science, Software Engineering, Computational Biology, Data Science or a related field with several years of relevant experience, preferably in the biotechnology- and / or pharmaceutical industry
- Extensive experience working with omics data types with a particular focus on data storage, handling, processing, and pipelining of such data for delivery of readily available downstream data
- Knowledge of data integration concepts such as semantic data integration, data modelling (e.g. ontologies and taxonomies), knowledge graphs and data FAIRification
- Robust software engineering skills such as testing, continuous integration and continuous delivery paired with excellent programming skills (Python,R, MatLab)
- Analytical and innovative mindset with profound problem-solving skills
- Strong communication skills
- Excellent command of English (verbally and written)
Additional requirements for Principal Scientist
- Hands-on experience with orchestration frameworks for data processing and analysis pipelines, ideally Nextflow
- Working experience with SQL and NoSQL databases
- Extensive knowledge of data management concepts and experience in distributed systems and cloud computing (AWS)
- Project leadership skills
- Proven record of large stakeholder management experience
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