Molecular Data Scientist - Biologics

The Position

We are searching for a talented Molecular Modelling and/or Data Scientist with strong interest in protein design and machine learning techniques.

Your main role will involve enhancing our internal Modelling/AI workflow for data-driven compound design, including the integration of novel ML technologies for protein structure predictions, biophysical property predictions, and variant design. Another aspect of the position will be to drive the development of novel SAR visualization and analysis tools and ensure its best usage within selected projects. The position requires close collaboration with other research scientists in multidisciplinary project teams as well as our data science and machine learning colleagues across the global sites of the Digital Science Innovation area.

Your key responsibilities will entail to:

• Develop predictive models for biologics design as well as SAR analysis and visualization methods and integrate them into the in house in silico pipeline to enable multi-objective compound design and data-driven decision making.
• Apply predictive models for biologics design, including developability engineering and experimental design of high-throughput variant libraries.
• Review technology landscape and build external collaborations with key partner in the AI field for biologics.
• The ideal candidate has a general curiosity and excellent track record within drug discovery, molecular modelling, and/or machine learning technologies, can 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.
• This position will be in our new London Office, at Kings Cross.
• This is a 12-month fixed-term contract, operating on a hybrid model with 2 days working from the office.
  
  
  

Qualifications

• To be successful in this role, we expect you to have the following qualifications:
• PhD degree within a computational chemistry or biology discipline, such as Computational Chemistry, Molecular Modelling or Bio-/Cheminformatics
• Strong relevant experience of drug discovery experience in relevant pharma/biotech RD environment or comparable track record of post graduate experience in academia.
• Proven track record and in-depth knowledge in the development and application of AI/ML for de novo design and/or compound property predictions, preferably for biologics
• Broad knowledge of cheminformatics, bioinformatics, and QSAR methods and experience with the development of related data analysis pipelines and visualization
• Experience using protein modelling software such as Rosetta, Schrodinger and/or MOE.
• Fluent in Python, data-workflow tools, and data science packages like scikit-learn and pandas.
  
  
  

Please use the below link for job application and quicker response.

https://lifelancer.com/jobs/view/91f6ff425e55b9b488bfac3c3f51d446