Scientific Analytics Lab Data Engineer

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Are you passionate about leveraging data analytics to drive scientific breakthroughs? Do you have expertise in data management and digital solutions? We are looking for a Scientific Analytics Lab Data Engineer to join our dynamic team at [xxxxx]. If you are ready to make a difference and contribute to groundbreaking research, read on and apply today for a life-changing career. The position: The Scientific Analytics Lab Data Engineer will be responsible for creating and refining solutions for future data analytics platforms. Working within an interdisciplinary product team, including colleagues from R&ED, DSI, and our global IT organization, you will engage with a diverse set of stakeholders. Your role will involve aligning with scientific software engineers, architects, the product owner, and other stakeholders to coordinate the delivery of digital solutions within an agile model, while fostering strong relationships across the R&ED organization. As a Scientific Analytics Lab Data Engineer at Novo Nordisk, you will have the opportunity to:
  • Define data models, design workflows, and implement data pipelines for our future research data analytics platforms.
  • Support scientists by enabling them to use research data platforms and analytics apps, and optimize raw data capture.
  • Contribute to the integration between existing and future data platforms.
  • Develop, configure, and maintain intuitive digital solutions that deliver value to our organization.
  • Collaborate with software engineers and architects to create a holistic solution landscape for our research data analytics platforms.
  • Ensure the seamless operation of digital solutions in collaboration with the agile product team.
  • Foster exchange within the team on software development and data engineering practices for complex scientific digital solutions.
    • Qualifications: To excel in this role, you should possess the following qualifications:
  • PhD or equivalent in Life Sciences, Biomedical Engineering, Physics, Statistics, Chemistry, Computer Engineering required, or a BSc/MSc and 5+ years of experience in life sciences, medical device, or the pharmaceutical industry.
  • Broad expertise ranging from research data management to scientific digital solutions, including the ability to perform hands-on technical work.
  • Expertise in processing scientific data, including ETLs, data analyses, and visualizations.
  • Extensive technical knowledge and experience, particularly in Python scripting.
  • Experience with data workflow platforms such as Pipeline Pilot and KNIME.
  • Experience with data visualization platforms like Spotfire and Power BI.
  • Preferably, experience with other object-oriented coding languages like .NET / C#.
  • Solid understanding of relational databases, like Oracle, and some experience with SQL and/or PL/SQL.
  • Solid knowledge about domain-driven architecture and solution design.
  • Familiarity with the FAIR principles and their value, particularly in the context of in-vivo research data.
  • Ability to thrive amidst ambiguity and identify unexpressed problems and derived requirements for digital solutions in a complex global research organization.
    • About the department: You will join the Software Products Department, within Data Management and Informatics of DSI, enabling Novo Nordisk R&ED researchers and laboratories with digital solutions to take the best data-driven decision. We are designing, creating, maintaining, and continuously refining globally deployed, high-impact scientific digital solutions that constitute an integrated and intuitive digital product landscape that accelerates data-driven research to enable [xxxxx]'s next big breakthroughs. In partnership with every unit of R&ED, we are investing in a data-driven and innovative culture to create better medicines for millions of patients worldwide. Within the Software Products Department, the Data Workflows & Visualisation team consists of experts with both scientific and technical background and have the skills to design, implement, and operationalize scientific data models, pipelines, and visualizations to enable R&ED scientists to derive insights. The team members closely collaborate with product owners, scientific software engineers and researchers to create impactful solutions to accelerate digitalization across R&ED. While working in different product teams, focussed on delivery, the Data Workflows & Visualisation team brings together individuals with similar competencies and capabilities, allowing for optimal talent development. Working at [xxxxx]: [xxxxx] is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world, and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 63,000 employees around the world. We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at [xxxxx], we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Contact: For further information, please contact our Head of Scientific Software Engineering, Henrik Andersen at [xxxxx] . Deadline: The application deadline is April 23rd, 2024. We will process applications as we receive them, so please apply as soon as you can. There is no requirement to append a cover letter with your application. However, we would appreciate if you could incorporate a brief statement in your resume or CV detailing your motivation for applying. In the interest of promoting an efficient and equitable recruitment process, we kindly request you to exclude any photographs from your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At [xxxxx] we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.


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    Jobbet er oprettet på vores service den 10.4.2024, men kan have været deaktiveret og genaktiveret igen.

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    • 10.04.2024
    • Øvrige
    • Måløv
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