Data Scientist for Drug Discovery

3 weeks ago


Glasgow, Glasgow City, United Kingdom SLS Services Limited Full time

SLS Services Limited is seeking a talented Data Scientist to revolutionize drug discovery and development.

We are looking for an individual with a strong background in machine learning and a desire to lead cutting-edge projects. The successful candidate will play a pivotal role in building and improving computational tools to complement our integrated platform.

About the Role:

  • This position involves preparing, processing, cleaning, and annotating datasets for machine learning development.
  • The ideal candidate will influence data ingestion engines to ensure pristine and well-annotated data is systematically acquired from laboratory or third-party sources.
  • They will develop, benchmark, and rapidly iterate on deterministic and AI/Deep Learning methods for template-based and template-free retrosynthesis towards continuously improving performance.
  • Additionally, they will design, test, and implement algorithms for chemical space exploration and optimize synthetic campaigns.
  • Development and implementation of R&D algorithms into software products will also be a key responsibility.
  • Presentation of data and recommendations to the executive team and customers, internal and external, will be essential.

Requirements:

  • A PhD degree in Data Science/AI, Computer Science, Cheminformatics, Bioinformatics, or equivalent professional experience.
  • The successful candidate will have developed and deployed AI/ML/DL based tools in high-value applications.
  • Deep domain expertise in applied mathematics and primitives used in AI/ML/DL is required.
  • Cross-functional inclination to partner with strong software engineers is crucial.
  • Knowledge of cheminformatics and retrosynthesis is necessary.
  • Strong proficiency with ML toolkits (PyTorch, TensorFlow, Scikit-Learn, etc) and deployment of software on high-performance compute clusters is required.
  • Understanding of the latest AI research and ability to efficiently implement these systems is essential.
  • Proficiency with cloud platforms like AWS for ML applications is desirable.
  • Keen interest in chemistry and willingness to learn chemical concepts fast is important.
  • Proficiency in contemporary software engineering approaches, including CI/CD, version control, and unit testing is necessary.

Estimated Salary: £80,000 - £120,000 per annum.



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