Cloud Data Engineer - Pharma R&D

The Life Science Career Network CTC are specialised industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes.

Cloud Data Engineer – Pharma R&D - 5025 URA

Our client is a specialist biotherapeutics manufacturer with over a century of experience treating various diseases worldwide. They are committed to patients with coagulation disorders, immunological diseases, enzyme deficiency diseases and other rare diseases.

As a Data Engineer working with R&D, you will help create an information ecosystem in which scientists can do their best work to bring new treatments to patients with rare diseases, instead of spending time organizing and re-organizing data. You will work interactively with R&D and I&T colleagues to identify the data needed for important decisions about which the potential treatments should advance and which should not and build data pipelines and products to deliver those data in ways that make it easy to use. You will link internal data with published biological data to give scientists richer context for their decisions. This is a 12 months contract role to be based at Bern area.

Main Responsibilities

• Develop data pipelines and solutions, including data capture and data flow/transformation to integrate data from many existing systems and make it more broadly available for analysis and FAIR (Findable, Accessible, Interoperable, Reusable)
• Develop cloud data products and visualizations that help R&D scientists answer important research questions from Discovery through Clinical Development; collaborate with research and process development teams to understand the requirements, challenges, and possible solutions
• Develop programmatic and manual checks to ensure data quality using cloud tools or industry standard software like Informatica IDQ; work with scientists to understand and resolve data issues found during analysisUse and promote master data for consistency across data sets
• Model and analyze structured and unstructured data to extract information and help answer R&D questions

Qualifications And Experience

• Master’s degree or PhD in computer science, biology, bioinformatics, statistics, or related fields, with a strong computational component
• Experience with Amazon Web Services or other cloud platforms
• Programming skills (in some scientifically relevant language: Python, R, SQL, data-specific tools, …)
• A strong capacity for independent thinking and interest in the underlying scientific questions and improving human health
• Having collected and/or analyzed data yourself (laboratory data, clinical data, real-world data, or other) is a big plus
• Knowledge of biomedical vocabularies and ontologies (or a willingness to learn about them) is a plus