HomeDiscovery Data Scientist

Discovery Data Scientist

Company:
Exscientia
Location: Dundee
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*** Mention DataYoshi when applying ***

Exscientia Is a company that is committed to getting medicines to patients in the fastest and most effective manner. We do this by applying the latest research in Artificial Intelligence (AI), Machine Learning and modern high-performance computational methods to transform drug design. Exscientia is at the forefront of Artificial Intelligence (AI) driven drug discovery and the only company to have used AI to design drug molecules that are currently in clinical studies.

All of our Innovation is driven by people; highly talented multi-disciplinary teams that work collaboratively to solve real world drug discovery problems. Following multiple partnerships with many leading Pharmaceutical companies and research institutes, we have a robust and rapidly expanding portfolio of projects and we are looking to substantially expand our Data Science capabilities.

We are now seeking Discovery Data Scientists to help accelerate our application of AI and Machine Learning to live Drug Discovery projects. Reporting to the Chief Data Officer, this position is integral to support and build the Company’s Data Science capability as it executes the next phase of its life cycle. We are looking for Data Scientists with knowledge of Drug Discovery to work closely with drug designers and engineers to help provide the predictive capabilities that underpin our drug design platform.

You will have the opportunity to

  • Apply your machine learning skills and creativity with diverse discovery data to a range of applied drug discovery challenges, including prediction of bioactivity, ADME, toxicity and pharmacokinetic properties.
  • Use your analytical and data science skills to monitor, maintain and improve our large-scale machine learning platform.
  • Work closely with drug designers to understand and address project challenges.
  • Work closely with engineering and MLOps teams to continuously improve our ability to deliver models and algorithms to project teams.
  • Work with colleagues to wrangle heterogeneous raw data and devise pipelines that generate clean data suitable for downstream ML and analytics.

What will you bring to the role?

  • PhD or equivalent experience in cheminformatics, machine learning, bioinformatics, computational chemistry or related quantitative data science field.
  • Proficiency in using Python or R to wrangle complex, large-scale chemistry/ pharmacology data sets.
  • Experience in developing Machine Learning or Deep Learning models, methods or algorithms.
  • Strong presentation and interpersonal skills with the ability to work in a multi-discipline squad and present insights and analysis to stakeholders.
  • Knowledge of modern drug discovery technologies and enthusiasm to apply algorithm-derived compound designs.A passion for data science and the use of data to make good decisions.

What would be great to have

  • Domain knowledge in medicinal chemistry as applied to contemporary drug discovery.
  • Experience in modern data pipelining / DataOps approaches.
  • Knowledge of multi-task learning, ensemble learning, federated learning or meta-learning.

What can you expect from us?

  • An opportunity to make a positive contribution to patients by revolutionising the pharmaceutical industry through AI driven discovery.
  • The ability to strongly influence a scaling AI organisation with world class technical and scientific leaders.
  • An opportunity to grow your career with us as we grow our organisation.
  • A highly competitive compensation package to support our employees as we continue to grow and thrive.
  • The opportunity to join an inclusive, collaborative and intellectually stimulating culture
Exscientia embraces equal opportunity and is committed to providing a diverse and inclusive community where everybody feels welcome. We welcome applications from all people regardless of background.

*** Mention DataYoshi when applying ***

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