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A highly rewarding role awaits a motivated and creative Data Scientist seeking an excellent career progression opportunity. You will be joining a leading global biopharmaceutical company that specialises in the development of novel therapeutics for autoimmune and neurological diseases!
Responsibilities:
- Develop and implement advanced data science solutions, using AI and machine leaning, with internal and external data to support drug discovery
- Working collaboratively with experimental and computational scientists
- Utilise strong background in biologics to establish analytical workflow and optimise AI methodologies
- Process, analyse and interpret poly-omic data from across the company portfolio
Experience:
- PhD (or equivalent experience) in Computer Science, Computational Biology or a related field
- Proficiency in a range of programming languages such as Python or R
- Strong understanding of starting principles in statistics, data mining and visualisation of biological data (omics, NGS, and assay data)
- Expertise in integrative analysis of multiple omic data types including advanced statistical, machine learning and deep learning methods (large language models would be highly advantageous)
- Biological domain knowledge, with a focus on antibodies is highly desirable
Apply now for the chance to join an award-winning Research & Development organisation and make your impact on the global scientific community!
Key Words: Data, Big Data, Bioinformatics, Programming, R, Python, Statistical, Data Mining, Data Visualisation, HPC Unix, Cloud-based, Computational, Deep Learning, Machine Learning, Biological, Biopharma, Biopharmaceutical, Drug Discovery, Omics, Poly-Omics, Target ID, Target Validation, Biomarker Discovery, Oxford, Hertfordshire, Wiltshire, Berkshire, Oxford, Reading, London, Slough, VRS8706MF
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