Senior Staff Scientist

22 hours ago

Glasgow, Glasgow City, United Kingdom SLS Services Limited Full time
Machine Learning Scientist

Are you passionate about revolutionizing drug discovery and development? Do you have a strong background in machine learning and a desire to lead cutting-edge projects? We are seeking a highly skilled Machine Learning Scientist to join our interdisciplinary team working at the forefront of chemistry, robotics, and software engineering.

Role Overview:

As a Machine Learning Scientist, you will play a pivotal role in building and improving computational tools to complement our integrated platform. You will also build algorithms to convert extracted data to standard processes.

  • Prepare, process, clean, and annotate datasets for machine learning development.
  • Influence data ingestion engines to ensure pristine and well-annotated data for short- and long-term applications are systematically acquired from the laboratory or third-party sources.
  • Develop, benchmark, and rapidly iterate on deterministic and AI/Deep Learning methods for template-based and template-free retrosynthesis towards continuously improving performance.
  • Design, test, and implement algorithms for chemical space exploration and optimize synthetic campaigns.
  • Development and implementation of R&D algorithms into software products.
  • Presentation of data and recommendations to the executive team and customers, internal and external.
Requirements:
  • PhD degree in Data Science/AI, Computer Science, Cheminformatics, Bioinformatics, or equivalent professional experience.
  • Successful development and deployment of AI/ML/DL-based tools in high-value applications.
  • Deep domain expertise in applied mathematics and primitives used in AI/ML/DL.
  • Cross-functional inclination to partner with strong software engineers.
  • Knowledge of cheminformatics and retrosynthesis.
  • Strong proficiency with ML toolkits (PyTorch, TensorFlow, Scikit-Learn, etc.) and deployment of software on high-performance compute clusters.
  • Understanding of the latest AI research and ability to efficiently implement these systems.
  • Proficiency with cloud platforms like AWS for ML applications.
  • Keen interest in chemistry and willingness to learn chemical concepts fast.
  • Proficiency in contemporary software engineering approaches, including CI/CD, version control, and unit testing.
Desired Skills & Attributes:
  • Experience successfully building computational retrosynthesis a plus.
  • Experience with RDKit toolkit and reaction SMARTS syntax.
  • Experience in the development & deployment of large-scale ML algorithms.
  • Experience leading interdisciplinary teams to deliver results under tight deadlines, preferably using Agile/Scrum-based project management.
  • Familiarity with database tools such as RDBMS (e.g., MySQL) or NO-SQL (e.g., MongoDB).

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