Senior/Principal Scientist - Molecular Modelling for Biologics

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Are you enthusiastic about driving the design of next generation biologics that will change the life of patients with diabetes and other serious chronic diseases? Are you an expert in employing computational peptide and protein design techniques and have a deep curiosity for modern data science technologies? Do you thrive in an informal working environment?

Then you could be our next Modelling Scientist in the ‘Molecular Modelling & Design’ department within Computational Research at Novo Nordisk A/S.
 

About the Position

At Novo Nordisk you will be joining the “Molecular Modelling & Design” department, where you will collaborate closely with other research scientists across the R&D area to improve and accelerate the design of new biologics. A key part of your work will be to employ and develop structure-based and machine learning/data driven modelling approaches to improve functional and biophysical properties of biologics, such as peptides, proteins, and antibodies. Title and conditions are evaluated based on the individual experience and contribution.


Key responsibilities:

  • Apply computational methods to guide the design of biologics, including de novo design and structure-based compound optimization.
  • Apply predictive models for biologics design, including developability engineering and experimental design of high-throughput variant libraries.
  • Develop and embed predictive models for biologics design as well as SAR analysis and visualization methods into the in house in silico pipeline to enable multi-objective compound design and data-driven decision making.
     
  • A focus of the work will be carrying out the compound design in close collaboration with other research scientists in multidisciplinary teams as well as strengthening data driven compound design efforts by closely collaborating with data scientists in the Computational Research area. The project teams at Novo Nordisk work in a flexible, collaborative and cross-functional setting with very ambitious scientific goals. An important part of the job will be to engage with stakeholders across the interdisciplinary and international organization.

    Qualifications

    The ideal candidate has a general curiosity and excellent track record within drug discovery, molecular modelling, and/or machine learning technologies, is able to identify and address key project challenges, can collaborate well within a multidisciplinary environment, has a positive attitude towards challenges, takes the initiative for driving projects, and can stay on top of things in a dynamic working environment.

    To be a successful candidate, we expect:

  • PhD within a computational structural biology discipline, such as Computational Chemistry, Molecular Modelling, Biophysics or Bio-/Cheminformatics, and more than 2+ years of experience in the pharmaceutical/biotechnology industry or comparable track record of post graduate experience in an academic setting.
  • Proven track record and in-depth knowledge of applying structural modelling in a drug discovery context, preferably for biologics such as peptides and proteins.
  • Highly skilled and experienced using protein modelling software such as Rosetta, Schrodinger and/or MOE.
  • Experience within programming and scripting, statistical analysis, machine learning, and cloud computing is considered a plus .
  • Excellent interpersonal skills with an ability to respond to shifting priorities in a dynamic setting, a positive attitude towards challenges, and great communication skills to thrive in a multidisciplinary, collaborative working environment.
  • About the Area

    Computational Research is a growing area within R&D at Novo Nordisk which provides various scientific software applications and data science support to the early research projects, such as descriptive and predictive machine learning models of biological and chemical data, bioinformatics, molecular modelling, and computational protein design. Furthermore, large digitalization programs are driven by the area, providing accelerated learning through scientific data capture and advanced analytics platforms. The area collaborates closely with the other areas of early research to identify novel drug targets and design new therapeutic biologics, operating globally by collaborating with research sites in DK, UK, US, and China.

    Skriv i din ansøgning, at du fandt jobbet på ofir.dk


    Senior/Principal Scientist - Molecular Modelling for Biologics

    Are you enthusiastic about driving the design of next generation biologics that will change the life of patients with diabetes and other serious chronic diseases? Are you an expert in employing computational peptide and protein design techniques and have a deep curiosity for modern data science technologies? Do you thrive in an informal working environment?

    Then you could be our next Modelling Scientist in the ‘Molecular Modelling & Design’ department within Computational Research at Novo Nordisk A/S.
     

    About the Position

    At Novo Nordisk you will be joining the “Molecular Modelling & Design” department, where you will collaborate closely with other research scientists across the R&D area to improve and accelerate the design of new biologics. A key part of your work will be to employ and develop structure-based and machine learning/data driven modelling approaches to improve functional and biophysical properties of biologics, such as peptides, proteins, and antibodies. Title and conditions are evaluated based on the individual experience and contribution.


    Key responsibilities:

  • Apply computational methods to guide the design of biologics, including de novo design and structure-based compound optimization.
  • Apply predictive models for biologics design, including developability engineering and experimental design of high-throughput variant libraries.
  • Develop and embed predictive models for biologics design as well as SAR analysis and visualization methods into the in house in silico pipeline to enable multi-objective compound design and data-driven decision making.
     
  • A focus of the work will be carrying out the compound design in close collaboration with other research scientists in multidisciplinary teams as well as strengthening data driven compound design efforts by closely collaborating with data scientists in the Computational Research area. The project teams at Novo Nordisk work in a flexible, collaborative and cross-functional setting with very ambitious scientific goals. An important part of the job will be to engage with stakeholders across the interdisciplinary and international organization.

    Qualifications

    The ideal candidate has a general curiosity and excellent track record within drug discovery, molecular modelling, and/or machine learning technologies, is able to identify and address key project challenges, can collaborate well within a multidisciplinary environment, has a positive attitude towards challenges, takes the initiative for driving projects, and can stay on top of things in a dynamic working environment.

    To be a successful candidate, we expect:

  • PhD within a computational structural biology discipline, such as Computational Chemistry, Molecular Modelling, Biophysics or Bio-/Cheminformatics, and more than 2+ years of experience in the pharmaceutical/biotechnology industry or comparable track record of post graduate experience in an academic setting.
  • Proven track record and in-depth knowledge of applying structural modelling in a drug discovery context, preferably for biologics such as peptides and proteins.
  • Highly skilled and experienced using protein modelling software such as Rosetta, Schrodinger and/or MOE.
  • Experience within programming and scripting, statistical analysis, machine learning, and cloud computing is considered a plus .
  • Excellent interpersonal skills with an ability to respond to shifting priorities in a dynamic setting, a positive attitude towards challenges, and great communication skills to thrive in a multidisciplinary, collaborative working environment.
  • About the Area

    Computational Research is a growing area within R&D at Novo Nordisk which provides various scientific software applications and data science support to the early research projects, such as descriptive and predictive machine learning models of biological and chemical data, bioinformatics, molecular modelling, and computational protein design. Furthermore, large digitalization programs are driven by the area, providing accelerated learning through scientific data capture and advanced analytics platforms. The area collaborates closely with the other areas of early research to identify novel drug targets and design new therapeutic biologics, operating globally by collaborating with research sites in DK, UK, US, and China.

    Skriv i din ansøgning, at du fandt jobbet på ofir.dk


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