Data Scientist for Drug Discovery
3 weeks ago
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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