Helaas, deze vacature is niet actief.

PhD student, Computational Chemistry in Beerse

At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.janssenrnd.com/ for more information. We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.

8 - 40 uur per week

Beschrijving


At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.janssenrnd.com/ for more information.

We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.

We are looking for a skilled and motivated computational chemist for the position of PhD Student, at our Antwerp, Belgium site. The position is part of the EU Horizon2020 project ALLODD, an Innovative Trainings Network (ITN) in the Marie Skłodowska-Curie Actions program.

The ALLODD project is a collaboration between 13 academic and industrial organizations with 14 PhD students in total. The aim of ALLODD is to train a new generation of scientists to exploit the concept of allostery in drug design, putting together a whole array of technologies to identify and characterize allosteric modulators of protein function that will be applied to therapeutically relevant systems.

You will assess how well structure-based methods can identify ligandable allosteric sites and how well ligands for these sites can be identified. For this you will use several conformational sampling methods to identify allosteric sites in disease relevant protein targets. You will apply virtual screening using docking, pharmacophore-based, and AI methods to see if known allosteric ligands can be identified. In addition, you will apply the developed approach prospectively to targets of interest and select compounds for purchase or for synthesis. These compounds will then be tested for activity.

Your primary location will be at Janssen in Belgium, and the program foresees two 2-month secondments at other academic partner locations.

Responsibilities of the PhD student will include:

  • Develop and execute in silico structure-based methods to identify allosteric binding sites on protein targets. Validate performance on a set of known allosteric modulation sites.
  • Develop and execute in silico methods to identify small molecule allosteric modulators via structure-based and ligand-based methods, both physics-based and AI-based.
  • Collaborate with other PhD students and partners in the ALLODD project

  • Qualifications
  • Develop and execute in silico structure-based methods to identify allosteric binding sites on protein targets. Validate performance on a set of known allosteric modulation sites.
  • Develop and execute in silico methods to identify small molecule allosteric modulators via structure-based and ligand-based methods, both physics-based and AI-based.
  • Collaborate with other PhD students and partners in the ALLODD project
  • Qualifications

  • Bachelor’s or Master’s degree in Chemistry, Biochemistry, or related field. Knowledge and strong interest in computational methods
  • Comfortable with the Python programming language
  • Good multidisciplinary teamwork and communication skills
  • Bonus qualifications (nice to have, but not required!):
  • Knowledge of organic chemistry
  • Experience with machine learning programming (e.g. PyTorch, TensorFlow)
  • Experience with cheminformatics or computer-aided drug discovery
  • Appointment: The position will be for 4 years.
  • We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

    Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


    Extra informatie

    Status
    Inactief
    Opleidingsniveaus
    Anders
    Plaats
    Beerse
    Werkuren per week
    8 - 40
    Dienstverbanden
    Tijdelijke fulltime baan
    Beroepsgroepen subcategorie
    Onderwijs en Wetenschap
    Rijbewijs nodig?
    Nee
    Auto nodig?
    Nee
    Motivatiebrief verplicht?
    Nee
    Talen
    Frans

    Onderwijs vacatures | Tijdelijke fulltime baan | Anders