Senior Data/SW Engineer

Novo Nordisk Research Center China (NNRCC)

Location: Life Science Park, Changping District, Beijing

Are you a highly motivated individual with a passion for scientific digital data technologies? Can you ensure that scientists can capture and work effectively with scientific data? Novo Nordisk is seeking a Senior Data/SW Engineer to support researches with fit-for-purpose digital data technologies. If you are passionate about data-driven research and want to make a difference in the lives of millions of patients worldwide, apply now!
 

The position

You'll be part of the Digital, Data & IT, Research Center China, providing digital data technologies for Novo Nordisk R&ED researchers, driving data-driven decisions and accelerating breakthroughs in medicine.
The Senior Data/SW Engineer will support R&ED scientists at our research site in Beijing with data engineering technologies by either introducing / leveraging global research informatics tools that you configure for local needs or by creating and maintaining targeted digital applications. You will achieve this by maintaining close contact with relevant R&ED scientists such that you are able to understand their needs from a digital data technology and help to translate those into requirements while keeping FAIR data management aspects and the overall R&ED strategy in mind. In addition, you will help R&ED scientists to leverage these digital data technologies more effectively by providing targeted user documentation and training. You will be part of Digital, Data & IT team in Research Center China, consisting of colleagues that are responsible for IT Infrastructure, Service Desk and IT service management, Digital Research and lab solutions. On global scale, you are expected to align with the similar roles in Denmark, UK and the US to share best practices to stay aligned with the global standard while being an expert on data sharing and engineering regulations in the similar industry from China. 

As a Senior Data/SW Engineer, you will have the opportunity to:

•    be a key contributor to our Novo Nordisk Research Center China digital initiatives to implement research informatics and data solutions for R&ED scientists to improve the effectiveness of data-driven decision making following the FAIR (findable, accessible, interoperable, and reusable) principles.
•    support Director - head of DD&IT NNRCC as data engineering expert with demonstrated experience in data engineering, including the design and implementation of data pipelines, ETL processes, and data integration within IT infrastructure and digital data solutions.
•    work in close collaboration with R&ED scientists focusing on target discovery at our Beijing site and support them to reach their research goals with existing and future digital data technologies.

•    contribute to NNRCC Architecture Implementation with the ability to learn and translate global data and architecture requirements into practical, scalable, and efficient implementations within the local IT infrastructure and software systems.

•    navigate and master data Security and Compliance with Understanding of data security best practices and compliance standards, with the ability to implement these within the IT infrastructure and software space.
•    serve as point of contact for our research data management solutions across target discovery phases of the digital data technology life-cycle, in particular with regards to requirement gathering, adaptation/configuration/operation of solutions, and user documentation & training.

Qualifications
To be successful in this role, we are looking for candidates with the following qualifications:
Education: Master's degree in computer science, engineering, mathematics, or a related field is often required. A Ph.D. in a relevant field can be an added advantage.
Experience: Several years of experience in data engineering and data architecture, with a focus on implementing data classification and the design of workable data flow solutions. Experience with cloud platforms such as AWS, Azure, or Google Cloud is highly desirable. It is an advance with experience in life sciences, medical device or the pharmaceutical industry.
Technical Skills:
•    Proficiency in data engineering tools and languages such as SQL, Python, Java, or R.
•    In-depth understanding of data classification techniques and best practices for handling sensitive data.
•    Expertise in creating and optimizing data pipelines and ETL processes.
•    Strong knowledge of data warehouse and data lake solutions.
•    Familiarity with cloud-based data technologies and services, including but not limited to AWS Redshift, Azure Data Factory, etc.
•    Experience with architectural design and implementation of scalable and efficient data systems.
•    Data Modeling and Analysis: Proven experience in data modeling, data analysis, and the ability to translate business requirements into technical solutions.
•    Collaboration and Communication: Effective collaboration with global teams and local IT stakeholders to ensure seamless integration of data solutions, as well as clear communication of technical requirements and best practices. Able to explain and deliver effective messages on data solutions to non-data background stakeholders is a plus.
•    Problem-Solving Skills: Demonstrated ability to solve complex data engineering challenges and optimize data processes for performance and reliability.
•    Understanding of Data Security: Knowledge of data security best practices and the ability to implement security measures within data solutions.
•    Certifications: Industry certifications such as AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer Associate, or Google Professional Data Engineer can be advantageous.
•    You have the ability to thrive amidst ambiguity and discern the unexpressed problems and derived requirements for digital solutions in a complex global research organization.
•    You are proactive, open-minded, curious to new way of working and want to understand scientists' needs 

About us

Digital Data & IT division in Research Center China is organizationally part of DD&IT global function which is part of the Novo Nordisk Headquarters in Copenhagen, Denmark. We are a team physically situated in Beijing supporting our Research Center China scientists and employees. Within DDIT, NNRCC we have broad knowledge of our global digital landscape for Target Discovery Early Research and in depth knowledge of NNRCC digital needs. The team members are essential to ensure seamless IT operation to accelerate digitalization across NNRCC and Target Discovery. We bring together individuals with similar competencies and capabilities, curious to scientific and drug discovery, allowing for optimal talent development. We expect the team members can navigate in scientific world utilizing IT expertise. 
 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

At Novo Nordisk 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.