Principal Data Scientist - Drug Discovery
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Måløv
- Research
- Måløv
Are you interested in driving data science solutions at the heart of drug development processes? Do you enjoy working in an international and challenging research environment, where you will actively contribute to the design of next generation medicines that will change the life of patients with diabetes and other serious chronic diseases? Do you have a deep curiosity for modern data science technologies and thrive in an informal working environment? Then you may be our next highly valued Principal Data Scientist.
About the Department & the Position
At Novo Nordisk you will work in the Modelling & Predictive Technologies Department, a part of the Structure, Bioinformatics and Data Science area. The department collaborates closely with a number of research scientists across the R&D area to improve and accelerate active pharmaceutical ingredient (API and drug product (DP) designs of new peptides and biologics. We have access to advanced state-of-the-art protein modelling software and are developing and applying data analysis tools and prediction models to a variety of biological and chemical data, including high-throughput analytical data and images.
Your responsibility will be to drive expansion of our data science platform with new prediction models by employing in-house data from the research area as well as advancing our data science methodologies. For instance, we expect you to contribute to the development and application of better data wrangling and analysis algorithms, including cutting-edge machine learning approaches and advanced analytics methods. An important part of the job is also to engage with stakeholders across the interdisciplinary and international organization.
Qualifications
- PhD within a discipline with strong modelling and computational components, such as Computer Science, Biostatistics, Data Science and Cheminformatics, and at least 5 years of experience in the pharmaceutical/biotechnology industry or academia. More senior people are in particular encouraged to apply.
- Demonstrated track record of developing and applying data science solutions including the analysis, integration and interpretation of chemical and/or biological data
- Excellent knowledge and practical experience with statistical analysis, modern machine learning methods and data presentation
- Strong programming and scripting skills (e.g. Python, R, Matlab, C++)
- Familiar with developing dashboards and web services are considered a plus
- Desire to drive challenging data analytic problems in a dynamic working environment as well as ability to engage and collaborate with colleagues across different scientific disciplines
Benefits of working at Novo Nordisk
- Opportunity to work in a collaborative and stimulating work environment with the prospect of improving the lives of patients with diabetes and other chronic diseases
- Positive working culture where employees are empowered and the importance of achieving a good work-live balance is valued
- Some general facts and figures about Novo Nordisk A/S can be found at https://www.novonordisk.com/rnd/facts-and-figures.html
Contact
For further information, please contact Søren Berg Padkjær at +45 3075 4520
Deadline
12 August 2019
Millions rely on us
To work for Novo Nordisk you will need the skills, dedication and ambition to change lives for the better for millions of patients living with diabetes and other chronical diseases. In exchange, we offer the chance to be part of a truly global workplace, where passion and engagement are met with opportunities for professional and personal development.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Måløv.
Jobbet er oprettet på vores service den 28.6.2019, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Måløv
- Mandag den 12. august 2019
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