Molecular Data Scientist

4 weeks ago

London, United Kingdom Lifelancer Full time

ThePosition

We are searching for atalented Molecular Modelling and/or Data Scientist with stronginterest in protein design and machine learningtechniques.

Your main role will involve enhancingour internal Modelling/AI workflow for datadriven compound designincluding the integration of novel ML technologies for proteinstructure predictions biophysical property predictions and variantdesign. Another aspect of the position will be to drive thedevelopment of novel SAR visualization and analysis tools andensure its best usage within selected projects. The positionrequires close collaboration with other research scientists inmultidisciplinary project teams as well as our data science andmachine learning colleagues across the global sites of the DigitalScience Innovation area.

Your keyresponsibilities will entail to:

  • Develop predictive models for biologics design as well asSAR analysis and visualization methods and integrate them into thein house in silico pipeline to enable multiobjective compounddesign and datadriven decision making.
  • Applypredictive models for biologics design including developabilityengineering and experimental design of highthroughput variantlibraries.
  • Review technology landscape andbuild external collaborations with key partner in the AI field forbiologics.
  • The ideal candidate has a generalcuriosity and excellent track record within drug discoverymolecular modelling and/or machine learning technologies canidentify and address key project challenges can collaborate wellwithin a multidisciplinary environment has a positive attitudetowards challenges takes the initiative for driving projects andcan stay on top of things in a dynamic workingenvironment.
  • This position will be in our newLondon Office at Kings Cross.
  • This is a12month fixedterm contract operating on a hybrid model with 2 daysworking from theoffice.

Qualifications

  • To be successful in this role we expect you to have thefollowing qualifications:
  • PhD degree within acomputational chemistry or biology discipline such as ComputationalChemistry Molecular Modelling or Bio/Cheminformatics
  • Strong relevant experience of drug discovery experiencein relevant pharma/biotech RD environment or comparable trackrecord of post graduate experience in academia.
  • Proven track record and indepth knowledge in thedevelopment and application of AI/ML for de novo design and/orcompound property predictions preferably for biologics
  • Broad knowledge of cheminformatics bioinformatics andQSAR methods and experience with the development of related dataanalysis pipelines and visualization
  • Experience using protein modelling software such asRosetta Schrodinger and/or MOE.
  • Fluent inPython dataworkflow tools and data science packages likescikitlearn andpandas.

Please use thebelow link for job application and quickerresponse.


RemoteWork :

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