Operational Research Developer

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Are you experienced and skilled in developing and optimizing complex OR models? Do you want to apply your expertise on developing solutions that will impact our pharmaceutical manufacturing site across the globe? If so, then this could be the right opportunity for you. Apply today!
The Position You will be joining the NN Planner product team. NN planner is an advanced automatic planning application. It provides planning, execution follow-up, and assists internal coordination within QC laboratories, QA departments and production support teams. The application already integrates data from globalLIMS (our laboratory inventory management system) and Outlook, and we have around 2500 users on the system.As the modeller for NN Planner you will be the main responsible for the planning algorithms which is set to plan the work more than 80 diverse laboratories and other departments. The planning algorithm is a large Mixed Integer Programming (MIP) model, and your job will be to further expand and continue developing the algorithm and how it is used. We need a creative mind to make it possible and desirable for all departments to continuously using the planner.
  • Work together with software developers, UX designers and end users on creating a solution that can automate planning.
  • Make the automated planning possible for every team within reasonable time. We are having thousands of tests cases that the optimizer should solve that we can’t solve now.
  • Be part of a professional software team, where you will be part of the backend development team where we are following best practices in software engineering.
  • Working with other complex algorithms. On our platform we are having several other complex algorithms to solve subproblems or predicting when stuff will happen.
  • The product team have a flat structure where everyone is working closely together and are constantly peer reviewing each other’s work. We are trying to minimize silos and are actively encouraging everyone to be able to develop on a larger part of the tech stack, so you will be expected to spread your knowledge on modelling to the other developers and will be expected to find interest in contributing in other parts of the tech stack.Qualifications You have a relevant Master’s degree in Operational Research, Mathematical Modelling, Mathematics, Engineering or equivalent.In addition, you have:
  • Hands-on experience with developing and optimizing complex OR models and algorithms especially MIP models using a structured scientific approach
  • Experience with maintaining OR/MIP models in production is preferred
  • In-depth understanding of mathematical programming, optimization algorithms, and techniques such as linear programming, mixed-integer programming, network optimization, and heuristics.
  • Proficient in the programming langue Python which includes writing high quality code
  • Knowledge of software development methodologies and best practices, preferably under TDD and CI/CD is an advantage but not a prerequisite.
  • It will be nice if you have:
  • Experience with modern software development toolset (CI/CD, Cloud, Docker)
  • Experience with ensemble-based machine learning models for predictions
  • Knowledge of or experience with the software development framework and toolset that are used in the team, such as
  • Backend web development: test-driven development, Python, Flask, PostgreSQL, Redis
  • DevOps: AWS, Docker, GitHub, database administration, CI/CD, misc. monitoring tools
  • Frontend development tools JavaScript, Typescript, React, UX
  • Data visualization tools such as Tableau, and Kibana.
  • As a person you are self-driven with a high-quality mindset. You have excellent collaboration skills with the ability to work in a team environment. As our corporate language is English, we expect you to be fluent both in writing and spoken.About the Department Data Science is a newly established and growing department that focus on maturing and enabling Data Science, such as Machine Learning and Operational Analysis, as a technology for use in Novo Nordisk’s Manufacturing Processes across the globe in close collaboration and co-creation with our deep knowledge and dedicated colleagues from Manufacture.Our ambition is making best practices and global standards for process, people, and technology for development, implementation and operational excellence of Data Science Models and make the necessary digital solutions and competencies available to use this technology across Product Supply.We are part of Digital Transformation & Technology which is anchored in the TEC area within Global Product Supply (PSQIT TEC). In the TEC area we are highly dedicated to be on the forefront of tech, enabling the use of modern technology in Product Supply for the purpose of delivering the highest quality to patients in a sustainable and efficient way.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, through to manufacturing, marketing and sales – we’re all working to move the needle on changing the lives of people living with diabetes and other chronic diseases. 

    Contact 
    For further information, please contact hiring manager Gitte Bjørg Windfeldt, Head of Data Science on +45 3075 7644.For any questions regarding the recruitment process, please contact Talent Acquisition Consultant Andreas Gersel on +45 3448 2559.

    Deadline  15 March 2023Interviews will be conducted on an ongoing basis, so we encourage you to apply as soon as possible. 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.


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    Jobbet er oprettet på vores service den 23.2.2023, men kan have været deaktiveret og genaktiveret igen.

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