PostDoc - Machine Learning & Cheminformatics for Peptide Design
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Måløv
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Modelling & Predictive Technologies / Structure, Bioinformatics and Data Science / Global Research Technologies / Denmark / Måløv
Are you a passionate scientist with a strong interest in machine learning and leveraging data into new insights and actionable results? Do you have a solid understanding of compound design strategies and a deep curiosity for modern data science technologies? Would you enjoy the opportunity to dig into data of a drug-discovery organization and have impact on the way how medicines will be discovered in the future? Then join the ‘Modelling & Predictive Technologies’ Department at Novo Nordisk A/S as our next highly valued Post Doc.
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 to support prescriptive decision making in the API design projects.
Your responsibility will be to develop and employ modern machine learning technologies such as ’transfer learning’ and ’generative models’ for peptide design, as well as leveraging the wealth of public and in-house data. An important part of the job is also to communicate and discuss the results with stakeholders across the interdisciplinary and international organization. You will also have the opportunity to take part in the alignment of the developed technologies and workflows with an ambitious in-house automation project. Publications of the methodology and case stories in high-impact journals are highly encouraged.
The position is for a duration of 2-years.
Qualifications
- PhD within a computer science field, such as cheminformatics, computational chemistry, machine learning, molecular modelling
- Broad knowledge and hands-on experience with modern machine learning technologies and a basic understanding of compound design concepts
- Solid programming and scripting skills (e.g. Python, scikit-learn) and experience with cheminformatics concepts and toolkits
- Curios and self-driven personality, with a positive attitude towards challenges and who thrives in an informal working environment
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
Contact
For further information, please contact Simone Fulle at +45 3075 0058
Deadline
13 October 2019
Please note that applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.
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 5.7.2019, 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.
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