13 of 13 R Jobs in Oxford

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ ...

cookie settings.#Senior Engineer, Investment Technology page is loaded## Senior Engineer, Investment TechnologyApplylocations: Henley-on-Thames, Oxfordshiretime type: Full timeposted on: Posted Todayjob requisition id: R-13769As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power ...

algorithms, statistical modelling, and quantitative problem-solving Very good programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust, etc) Experience delivering computational tools, models, or analytical methods Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure ...

structures, algorithms, statistical modelling, and quantitative problem-solving Excellent programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust, etc) Experience owning projects and delivering computational tools, models, or analytical methods from development through validation Experience with sequencing data, cloud computing, workflow development ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully ...

effectively sharing your findings with others. Who You AreMust have, solid foundations in: Statistics (modelling, regression)Genetics and molecular biologyStatistical programming (e.g., Python or R)Preferred: Experience using a broad array of statistical genetics approaches (e.g., GWAS, colocalization, fine-mapping, Mendelian randomization, polygenic risk scores)Experience defining phenotypes from electronic ...

/or data engineering of complex biological datasets. They will also have proficiency in a programming or scripting language such as Python or R, with experience of building reproducible analytical workflows.Excellent organisational, collaboration and communication skills are essential, together with the ability to coordinate data-related activities across multiple stakeholders ...

skilled internal team and external partners. Who You AreExperience in performing foundational genetic association analyses (e.g., GWAS; PRS)Strong competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysisExperience in data mining and/or management of large datasets. Confident in engaging with a variety ...

experimental, clinical and industry partners. The role requires a PhD with strong computational experience in single-cell and spatial technologies, knowledge of Python and R, and proficiency with HPC and version control. Hybrid working arrangements apply. #J-18808-Ljbffr ...

developing and implementing bioinformatics algorithms for genomic and transcriptomic data. The role requires a PhD or equivalent, with strong programming in Python/R and Linux HPC experience to deliver enterprise‐level analytical approaches and milestones in collaboration with #J-18808-Ljbffr ...

network data coordination and shared bioinformatics across the IHDM-C initiative. The role emphasizes metadata standards, data cataloguing, and reproducible workflows using Python/R and GitHub. The post holder will work with UKRI FGI and partner institutions to ensure data and code are deposited and linked properly, with strong ...

targeted cancer therapeutics. Experience with proteomics, particularly mass spectrometry‐based proteomics. Familiarity with protein annotation and expression resources. Technical skills Proficiency in Python and R, sufficient to interrogate large datasets independently and review the team's work. Organisation and planning Strong organisational skills: able to plan, prioritise and track multiple ...

immune repertoire analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python and R programming. You will also have demonstrable experience of software development using version control (e.g. GitHub or similar) and experience using a High Performance Computing environment … immunology in the context of disease. Experience of developing computational methods for omics data analysis and knowledge of another relevant programming language (e.g. R) are desirable. Application Process The closing date for applications is 12pm 7 October 2026. Interviews will take place during week commencing 19 October 2026 and will ...