Senior Engineer - Data Solutions

Department: Artificial Intelligence Tech Operations

Are you passionate about what you are doing? Do you want to build excellence within processes most efficiently? Do you have an innovative mindset to drive change in a future-ready environment? If so, raise your hand as there is an exciting opportunity waiting for you as “Senior Engineer - Data Solutions” with us. “Apply Now” At Novo Nordisk, we assure you will experience the best.

About the department

The Artificial Intelligence and Analytics team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting-edge research and technology, helping each other grow, driven by the opportunity to make a difference in people’s lives.

The Position

As Senior Engineer - Data Solutions, your responsibilities will encompass designing, implementing, and deploying analytics products based on the latest advances in AI/ML, to create novel, world-leading solutions with broad applications within healthcare technology. Moreover, collaboratively with Data Scientists and ML Engineers, you will contribute to the development, validation, and deployment of AI/ML algorithms and models, and work closely with other engineers to build AI/ML-fueled products. As a senior individual contributor, you will provide technical leadership and mentoring to team members and be involved in supporting their career growth.

• Responsible for collaborating with various data science, ML, AI, imaging, bioinformatics, real-world evidence, and other research teams to build modern data-driven enterprise-ready solutions.
• Ensure Interface with business partners to lead architecture and development of enterprise cloud-based data solutions and pipelines that feed into data science solutions.
• Responsible for working with the data engineering, data science, and data ownership teams to collect relevant data elements and implement data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity.
• Work closely with various stakeholders to provide end-to-end support in data ETL and consumption. Transform and grow data science prototypes into scalable, reliable, secure, and maintainable, AI-powered software products based on distributed architectures.
• You will work and collaborate in cross-functional teams with IT, machine learning engineers, and data scientists in application areas ranging from real-world data and omics to computer vision and natural language processing.

Qualifications

To be successful in this role, we are looking for a candidate with the following qualifications:

• MSc degree with 5 plus years of relevant experience or a PhD degree with 3 plus years of relevant experience. Degrees in computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline are preferred.
• Relevant experience in building and operationalizing complex data solutions, correcting problems, applying transformations, and recommending data cleansing/quality solutions.
• SQL, DynamoDB, RedShift, EFS, EMR, EBS, Elastic ache, and other relational/non-relational database technologies/concepts.
• AWS data-related services such as Storage Gateway, CloudWatch, Glue, Athena, S3, Lambda, Data Pipeline, Data Migration, and Step functions.
• Cloud & software engineering: microservices, Kubernetes, GPU & high-performance computing. Versioning (git), CI/CD, DevSecOps, observability, agile development.
• Working knowledge of programming languages: Python (mandatory), R, Scala.
• Thought leadership within the field of data engineering and technical leadership of more junior team members in engineering teams.

Working At Novo Nordisk

Novo Nordisk 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 Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life-changing.

Contact

If you believe you are a match for the above requirements and are willing to take up the role, please apply here with our online application tool.

Deadline

5th May, 2024.

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.