Cloud Data Engineer for pharmaceutical R&D

We make it GmbH is a company operating nationally in Switzerland, which has a high level of competence in the personnel services sector thanks to many years of successful experience.

Concentration of placement activities on the core areas of industry, technology, office/administration, engineering, pharmaceuticals and IT. We make it GmbH places the highest demands on quality, ethics and discretion.

For our client, a renowned pharmaceutical company based in Bern, we are looking for a Cloud Data Engineer for pharmaceutical R&D

Background
CSL Behring AG in Bern specializes in the production of drugs for the treatment of immune deficiency states and immune function disorders, as well as drugs for rhesus prophylaxis and albumin solutions for shock and burn victims. CSL Behring AG's production facilities are licensed by the Swiss health authorities and by the US FDA. Annually, therapeutically important proteins are isolated from more than six million liters of human plasma according to the strictest safety and quality standards and processed into drugs. CSL Behring AG products are distributed worldwide. Data is the lifeblood of research, and it needs to flow quickly and along the right paths. 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 of our 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 our internal data with published biological data to give scientists richer context for their decisions.

Tasks

• 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 analysis Use 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

Requirements

• 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

Work hours

• 41 h./ Week

Are you interested?

Then Mr. Andr Amstad is looking forward to receiving your complete application documents by e-mail.