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    Senior PK/PD and QSP scientist - Måløv, Danmark - Novo Nordisk A/S - A1p

    Novo Nordisk A/S - A1p
    Novo Nordisk A/S - A1p Måløv, Danmark

    for 1 uge siden

    Novo Nordisk A/S - A1p background
    Fuldtid
    Beskrivelse

    Do you want to be part of our pioneering journey to change the way we use mathematical modelling to guide drug discovery and development? Are you an experienced scientist with advanced mathematical modelling skills and a strong understanding of pharmacokinetic and pharmacodynamic (PK/PD) principles? Then apply today and join our modelling department in a position within the Research and Early Development organization at Novo Nordisk

    The position
    In this role, you will combine your proficiency in cutting-edge modelling and simulation within pharmacology in critical medical areas, which requires efficient collaboration and communication with subject matter experts. You will be part of a growing team that collectively drives the implementation of PK/PD and engage with scientists across the Research & Early Development organization. Furthermore, you will contribute to a variety of projects and therapeutic areas.

    Some of your main responsibilities will include:

  • Setting the strategic direction for PKPD within projects in alignment with key stakeholders
  • PK/PD and Quantitative Systems Pharmacology (QSP) modelling on research compounds tested in different/selected animals and/or in vitro data
  • Simulation of human PK/PD based on animal and in vitro data; extract literature/competitor data on similar compounds to include in modelling
  • Demonstrated ability to maintain state of the art competences and know-how within PK/PD, as well as being an innovator and driver and create impact on the R&D value chain
  • Anticipating internal and/or external business challenges and recommending process, product or service improvements
  • Independently solving unique and complex problems that have a broad impact on the business This position will require you to work 3-4 days from our office based in Måløv, Denmark.

    Qualifications
    You hold a Ph.D. in physics, math, engineering, or other disciplines related to quantitative biology or pharmacology and ideally have 2+ years relevant experience (post PhD) in the pharmaceutical/biotech industry in pharmacometrics or mathematical modelling and simulation. You have an excellent understanding of theory, principles, and statistical aspects of advanced mathematical modelling and simulation and your ability to translate these tools into actionable insights is exceptional.     To succeed in the role, you have:
  • Excellent understanding of pharmacokinetics/pharmacodynamics (PK/PD) theory and modelling, statistical methodology and data interpretation
  • Outstanding ability to identify challenges, develop strategies and translate it into actionable work packages
  • Experience in modelling biological and/or other natural processes using mechanistic and/or a combination of mechanistic and empirical models
  • Extensive expertise and programming skills with PK/PD modelling software (Phoenix WinNonlin/NLME, NONMEM, and/or Monolix), as well as software for data manipulation and analysis (e.g. R, Python)
  • Experience managing external service providers
  • Due diligence evaluation within PK/PD
  • Disease area expertise, preferably within diabetes and/or obesity As a person, you are keen to learn new skills and able to communicate with experts of other areas. You have exceptional communication and stakeholder management skills and the ability to effectively interact with colleagues with a variety of backgrounds. Furthermore, you have demonstrated experience and a keen interest in mentoring and sharing knowledge with junior scientists and colleagues. In addition, you have excellent written and oral communication skills in English. About the department
    The Discovery PK/PD and Quantitative Systems Pharmacology (QSP) department is growing to support a wide range of diseases from diabetes and obesity over hemophilia to growth disorders and a range of rare diseases. The models we develop and apply help to understand resistance mechanisms, support drug discovery, optimize dose & schedule selection and combination therapy and much more. We work in interdisciplinary teams, with a focus to support and integrate in vitro and in vivo pharmacology data into current or new PK/PD and/or QSP models to describe the dynamic interactions between drug(s) and biological systems. The models inform and support drug discovery, development and regulatory interactions.
    The department is anchored within Global Drug Discovery (GDD) in Research & Early Development (R&ED). The area supports the discovery and development portfolio with pharmacokinetic (PK) and pharmacodynamic (PD) evaluations using a variety of modelling and simulation tools, as well as mechanistic modelling (QSP).
    You will have highly skilled and dedicated colleagues supporting projects from early discovery, through non-clinical development, as well as early clinical development. In our daily work, we have close collaboration with all parts of the global Discovery and Development organization, research project teams as well as external collaborators.

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