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, viability, cytokine readouts), and imaging/flow cytometry. Maintain rigorous records, QC, and SOP adherence for human biospecimens. Analyze/interpret data with basic scripting skills (R/Python) and
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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other
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with alcohol use disorder, and their contributions to treatment response. The candidate should be proficient in R, Python, and Linux. Responsibilities include processing microbiome and other omics
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to discover pathway‑level disease mechanisms. Build reproducible pipelines in R/Python Integrate proteomic signatures with neuroimaging, cognitive and neuropathology phenotypes. Write manuscripts, contribute
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. Interest in clinical algorithm development and dexterity with biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serially obtained somatic and
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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years proven experience in an international R&D environment (public or private sector) Background in thermal properties of nano- to micro-structured materials, combining fundamental understanding and
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Eligibility requirements for the position. Required Qualification: Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field Proficiency in R or Python Minimum one year of
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/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious, creative, resilient, meticulous in their research, and has a
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encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with