Senior Engineer - Data Solutions @ Philips

Job Description

Department: AI Tech Ops Are you passionate about what you are doing Do you want to build excellence within processes in the most efficient way Do you have an innovative mindset to drive change in a future-ready environment Are you best at what you do If so, raise your hand as there is an exciting opportunity waiting for you as Senior Data Solution Engineer with us. Apply Now At Novo Nordisk, we assure you will experience the best. About The Department The AI and Analytics team is part of Novo Nordisks 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 peoples lives. The Position As Senior Data Solutions Engineer, your responsibilities will encompass 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. 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. Responsible to collaborate 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 to work 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+ years of relevant experience or a PhD degree with 3+ years of relevant experience. Degrees within 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, 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 At Novo Nordisk, we are driving change to defeat diabetes and other serious chronic conditions. Our treatments today are benefiting millions of people living with diabetes, obesity, and rare blood and endocrine diseases. From our labs to our factory floors, we are discovering and developing innovative biological medicines and making them accessible to patients throughout the world. Since the company was founded in Denmark more than 100 years ago, we have been translating the unmet medical needs of people living with serious chronic diseases into innovative medicines and delivery. Our focus is on these diseases, which affect hundreds of millions of people and are among the most urgent global health challenges. By combining our innovation and commercial excellence, we draw upon insights from patients and partners to transform bold ideas into life-saving and preventive medicines. Our ambition is to take the lead in each of these areas, driving change with an unfailing belief that it can be done. 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 Apply on or before: 12th April, 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, were life changing

Employement Category:

Employement Type: Full time
Industry: Medical / Healthcare
Role Category: Medical / Healthcare
Functional Area: Not Applicable
Role/Responsibilies: Senior Engineer - Data Solutions

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Keyskills:   ML Data Solutions Data Science Data Engineering SQL AWS Python R Scala Git AI Data Pipelines Cloud Software Engineering CICD DevSecOps