PostDoc - Computational Protein Design

Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger

Måløv

  • Research
  • Måløv

Are you a passionate scientist with a strong interest in computational protein design and leveraging data into new insights and actionable results? Do you love translating your ideas into code and have a deep curiosity for modelling and data science technologies? Would you enjoy having 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, such as Rosetta, Maestro and MOE, 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 novel computational protein design tools by leveraging the wealth of public and in-house data and modern modelling and data science methodologies. For instance, we expect you to drive the development of novel protein design approaches and workflows, including the use of modern data science and machine learning approaches.

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 computational chemistry, molecular modelling, or a structural biology field
  • Broad knowledge and hands-on experience with computational protein design technologies or other structure-based design methods
  • Solid programming and scripting skills (e.g. Python, pandas)
  • 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
10 August 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 "Akademisk medarbejder", og befinder sig i kategorien "Økonomi og jura".

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.
  • Akademisk medarbejder
  • Måløv

Lignende jobs

Statistik over udbudte jobs som akademiske medarbejdere i Måløv

Herunder ser du udviklingen i udbudte akademisk medarbejder i Måløv over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal akademiske medarbejdere.

Se flere statistikker her:
Statistik over udbudte akademiske medarbejdere i Måløv over tid

Dato Alle jobs som akademiske medarbejdere
24. november 2024 0
23. november 2024 0
22. november 2024 0
21. november 2024 0
20. november 2024 0
19. november 2024 0
18. november 2024 0
17. november 2024 0
16. november 2024 0
15. november 2024 0
14. november 2024 0
13. november 2024 0
12. november 2024 0
11. november 2024 0
10. november 2024 0
9. november 2024 0
8. november 2024 0
7. november 2024 0
6. november 2024 0
5. november 2024 0
4. november 2024 0
3. november 2024 0
2. november 2024 0
1. november 2024 0
31. oktober 2024 0
30. oktober 2024 0
29. oktober 2024 0
28. oktober 2024 0
27. oktober 2024 0
26. oktober 2024 0
25. oktober 2024 0