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to mentoring and contributing to a positive research culture Desirable: Experience with programming tools (e.g. MATLAB, Python, R) for data analysis Experience working with human pluripotent stem cell
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-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
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. Strong coding skills in Python, including deep learning libraries such as Transformers, Pytorch; statistical analysis packages. Good fundamentals in deep learning models in text, vision, audio or similar
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using open‑source and commercial software (e.g. Fiji, Python, Imaris). Extensive experience delivering high‑quality microscopy training through one‑on‑one instruction and group workshops. Strong track
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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of the drivers behind a thriving university environment. Your key responsibilities will be to: Design and deliver sustainable analytics solutions using SQL and Python Translate data into insights and guide
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timelines clearly About you An experienced Data Scientist with strong machine learning and Gen AI expertise, and a track record of delivering production‑grade solutions Excellent proficiency in Python and SQL
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and