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by contributing to: Research software engineering for biomedical AI Refactoring and modularising scientific Python code. Turning research prototypes into robust, reusable, and documented software
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portability of computational methods. Human Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential BSc, in computer
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learning / computer science or a related discipline. Strong programming and data handling skills (e.g. git, HPC environments, etc) Fluency in English Preferred Machine learning experience applied to
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Biology, Computer Science, Bioinformatics, or a related quantitative discipline, or expected completion within the next six months. Strong publication record in machine learning, computational
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, mentoring and dedicated learning opportunities. What you'll bring Essential A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields, either completed or nearing completion. Experience
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training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD in Machine Learning, Artificial Intelligence, Computer Science, Computational Biology, or a related quantitative
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, including 10x Genomics. Experience supporting large-scale, standardised experimental projects; basic knowledge of bioinformatics, data visualisation or R/Python would also be an advantage
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. Excellent programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine
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training, mentoring and dedicated learning opportunities. Essential skills MSc in machine learning / computer science or a related discipline. At least 3 years in the role or similar one. Strong