Aartificial intelligence, Amazon Athena, Amazon RedShift, Amazon Simple Storage Service (S3), AWS, Continuous Integration & Continuous Delivery - CI/CD, Data Analysis, Data pipelines, Data science techniques, DevSecOps, DynamoDB, Elasticsearch, ETL frameworks, GPUs, Kubernetes-K8s, Lambda, Leadership Skill, Machine learning techniques, Python Programming, R Programming, Scala Programming, SQL
The Position
As our new Data Solutions Engineer, you will contribute to designing, implementing, and deploying analytics products based on latest advances in AI/ML, to create novel, world-leading solutions with broad applications within healthcare technology.
You will bring elements of appropriate data architecture and engineering, together with infrastructure teams, to translate data science solutions into highly available, scalable, reusable, consistent, secure, and enterprise-enabled systems and platforms, specifically for applications of AI/ML.
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 involve in supporting their career growth.
In this role you will:
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. The workplace is our London office, but flexible or remote work arrangements can be discussed.
Qualifications
You have a BSc, MSc, or PhD degree within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline preferably combined with a couple of years relevant experience. Your educational degree is not as important as is your acquired knowledge through relevant practical experience.
Relevant experience includes:
As a person you ensure a healthy, engaging, and inclusive work environment. You are capable of building trust and relationships across functions and cultures. You demonstrate agility and adapt quickly to changes.
We are open to hiring at different levels of seniority.
About the Department
The AI 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 inspiring 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.
Working at Novo Nordisk
At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.
Contact
To learn more about the role, reach out to Zeljko Agic, Director AI Tech Ops, at zea@novonordisk.com .
Novo Nordisk A/S is a Danish multinational pharmaceutical company headquartered in Bagsværd, Denmark, with production facilities in eight countries, and affiliates or offices in five countries.
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