7 of 7 R Jobs in Reading

ideally Motor insurance Strong analytical and problem-solving skills. Experience working with large and complex datasets. Advanced skills in tools such as SQL, Python, R, Power BI, Tableau, or similar. Excellent stakeholder management and communication skills. Commercial awareness and the ability to turn data insight into business outcomes. Nice ...

bulk, single-cell and spatial transcriptomics. Experience with other omics modalities and familiarity with immunology are a significant plus.Strong programming skills in Python and R, with hands-on experience developing reproducible bioinformatics pipelines using Nextflow/Snakemake, containerisation with Docker, version control via Git/Azure DevOps, and deployment ...

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+ ...

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from ...

modeling, and clinical trial simulations.Strong understanding and knowledge of Bayesian methodologies, model-based meta-analyses, PBPK, QSP, and AI/ML in Pharmacometrics.Expertise in R, NONMEM or related pharmacometrics software.Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then ...

technical teams and business stakeholders, while tracking setup processes across systems and teams.You bring practical experience with tools such as Domino Data Lab, SAS, R, Git, Azure DevOps, VS Code, or SAS Studio. Are you ready to ‘go beyond’ to create value and make your mark for patients? If this ...

shape how evidence is generated, modeled, and communicated across the drug development lifecycle, bringing modern computational and machine-learning methods to bear on real R&D decisions. You will develop and apply advanced data-driven and model-based approaches—drawing on statistics, machine learning, and AI—translate them into robust … advanced computational methodology for clinical development (early to late stage) is an advantage. Direct entry may be considered.Strong, multi-language scientific programming skills (R and Python preferred; software-engineering practices such as version control, testing, and reproducible workflows a clear advantage).Demonstrated expertise in machine learning and/ ...