Job Opportunities in Denmark
September 18, 2024
Novo Nordisk
Søborg
Senior Data Scientist
Senior Data Scientist
Category: Data & AI
Location: Søborg, Capital Region of Denmark, DK
Are you passionate about leveraging machine learning and other advanced analytics methodologies to solve complex and impactful problems?
Do you want to be part of a team that innovate and build AI software providing deep insights for clinical drug development and clinical operations?
If so, we have an exciting opportunity for you to join our Data & Modelling department at Novo Nordisk.
Apply today for a life-changing career.
The position
In this role, you will use your strong analytical mindset and programming skills to innovate and develop AI software that addresses complex challenges and opportunities within clinical drug development and clinical operations. You will play a vital role in a product team, leveraging your experience in machine learning, Gen AI (generative artificial intelligence), and/or other advanced analytics methodologies to collaborate with data science and engineering colleagues, product and business owners, designers, and developers, in deriving actionable insights.
In this role, you will use your strong analytical mindset and programming skills to innovate and develop AI software that addresses complex challenges and opportunities within clinical drug development and clinical operations. You will play a vital role in a product team, leveraging your experience in machine learning, Gen AI (generative artificial intelligence), and/or other advanced analytics methodologies to collaborate with data science and engineering colleagues, product and business owners, designers, and developers, in deriving actionable insights.
We are seeking a candidate with strong technical capabilities, excellent interpersonal skills, and a passion for our purpose. Join us in creating a positive, inclusive culture and be part of a team that delivers meaningful digital AI solutions.
The position is primarily located in Søborg, with flexible working options.
Qualifications
To be successful in this role, we imagine you have the following qualifications:
To be successful in this role, we imagine you have the following qualifications:
- A master's or Ph D degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, or similar; combined with more than 3 years of experience in a Data Science role
- Strong analytical and problem-solving skills with the ability to break down complex business problems into solvable mathematical problems, using methodologies such as machine learning, Gen AI, statistics, optimization, etc.
- Technical skills and proficiency in Python, and adherence to software development standards and CI/CD
- Experience with the development lifecycle of machine learning digital solutions (MLOps) and cloud-native technology stacks
- Knowledge within the pharmaceutical or medical field is an advantage but not a requirement
We welcome applications from more junior candidates. If you are less experienced but you do find this position interesting, feel free to apply and state that you are open to a more junior role.
About the department
The Data & Modelling department is the home of a team of highly professional, engaged, and motivated data engineers and data scientists, who take a core part in novel digital solutions throughout the clinical drug development and clinical operations value chain. The Data & Modelling team is part of Operational Data Insights (ODI) within the Development organization. In ODI, we innovate and develop a “Suite of Products” in a centralized hub that addresses pain points for users across the value chain and the decision lifecycle from early study design to study planning (country allocation, site selection), study forecasting (demand, resources, costs), and study operations (study start-up, study execution). We serve global and country users around the world. We are located in Søborg, Denmark.
The Data & Modelling department is the home of a team of highly professional, engaged, and motivated data engineers and data scientists, who take a core part in novel digital solutions throughout the clinical drug development and clinical operations value chain. The Data & Modelling team is part of Operational Data Insights (ODI) within the Development organization. In ODI, we innovate and develop a “Suite of Products” in a centralized hub that addresses pain points for users across the value chain and the decision lifecycle from early study design to study planning (country allocation, site selection), study forecasting (demand, resources, costs), and study operations (study start-up, study execution). We serve global and country users around the world. We are located in Søborg, Denmark.
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 patient care.
Contact
For any questions, please contact Nicklas Walldorf, Head of Data & Modelling, at ncwd@novonordisk.com.
For any questions, please contact Nicklas Walldorf, Head of Data & Modelling, at ncwd@novonordisk.com.
Deadline
6 October 2024
6 October 2024
Please note that applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.
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.
We regret to inform you that this job opportunity is no longer available
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