Data Scientist
Kalundborg, Region Zealand, DK
Applications have closed
Novo Nordisk
Novo Nordisk is a leading global healthcare company, founded in 1923 and headquartered in Denmark. Our purpose is to drive change to defeat diabetes and other serious chronic diseases.Are you someone who gets most engaged when transforming data into solid strategic decisions and hands-on optimizations? Or do you enjoy diving deep into equipment, processes, and workflows, always asking yourself: 'How could this be done even better?'
If you have the technical skills to support your passion for data-driven improvements, then you may be the person we are looking for!
The position
To succeed in this position, you will be helped by a curious, outgoing and proactive nature, as we will be counting on your ability to quickly understand complexity at a high level, your people skills in connecting with all of your stakeholders and your initiative to make an impact on the ways we do things.
- Gather relevant data from various sources to analyze production line and support function processes
- Develop a deep understanding of specific aspects of processes and equipment involved in production as well as adapt strategies based on the organization's diverse and complex structure to ensure success in optimizing processes and workflows.
- Identify opportunities for process optimization through data analysis.
- Utilize trend identification, downtime patterns, and peak performance circumstances to drive sustainable improvements.
- Communicate insights effectively to stakeholders, including management, supporters, and operators.
- Utilize visualization software such as Tableau, Grafana, Power BI to present findings in a clear and understandable manner.
- Collaborate with peers across Novo Nordisk to share knowledge and improve methods, tools, and approaches.
- Take initiative in shaping the role by deciding on data sources, acquiring process understanding, and selecting appropriate tools for data handling, analysis, and communication.
Qualifications
We are looking for a team player, who is motivated by helping our business meet their goals. You thrive in an agile and dynamic environment, where priorities can change. You enjoy challenging status quo and you are enthusiastic and show your initiative.
- You will be a great asset to our team because you have:
- Bachelor's or master’s degree in Computer science or Engineering, Biotech, Chemistry, Statistics, Mathematics, or related field.
- Experience in data analysis, statistical modeling, and machine learning techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Strong problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with colleagues at all levels of the organization.
Preferably you also have:
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with accessing and analysing data from a complex manufacturing setup.
- Knowledge about UX design
- Experience working within Agile frameworks (e.g. scrum)
About the department
The position is part of the our local Digitalization and Innovation team of data scientists and engineers that is dedicated to improving and visualize production data across our production and drive Industry 4.0 solutions from idea to implementation. You will join a growing, diverse, and inclusive team that is working with the most awesome projects from our production complex.
Finished Products site Kalundborg is part of Biotech & Rare Disease. At our site in Kalundborg, we are more than 650 colleagues responsible for transforming the API (Active Pharmaceutical Ingredient) into the finished medicine for people living with serious chronic diseases. We work with advanced processes such as formulation, filling, freeze-drying in a sterile environment. We bring value to our patients by delivering high-quality products in accordance with Good Manufacturing Process (GMP) in a timely and cost-effective manner as we constantly optimise our processes and invest in the latest technology.
Working at Novo Nordisk
BRD is part of Novo Nordisk Product Supply, which is a global production network at the forefront of technology and quality production of pharmaceutical products. In BRD, we are not only supplying all Novo Nordisk products to people living with serious chronic diseases, but we also use our competences in biotech to support the growing efforts into completely new production platforms and therapy areas for Novo Nordisk.
We are more than 3000 dedicated colleagues working at six production sites in Denmark and the United States. Here we cover the entire production value chain where raw materials are cultivated, purified, formulated, filled, assembled in devices, packed, and distributed across the globe. As more and more people need our products, we support Novo Nordisk's initiatives in new therapy areas. Every day, we work to streamline and expand our capacity through process innovation, automation, and the introduction of new technology.
Contact
If you want to know more about the position, please reach out to Liana Møsbæk, Digitalization and Innovation Manager at: +45 34 48 05 27.
Deadline
24 March 2024.
You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV.
To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Chemistry Computer Science Data analysis Data visualization Engineering Grafana Machine Learning Mathematics Pharma Power BI Python R Scrum SQL Statistical modeling Statistics Tableau UX
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