13 of 13 Remote/Hybrid R Jobs in the Thames Valley

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 real plus.Advanced 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 ...

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 ...

managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment Proficient in Python and SQL, familiarity with Scala or R advantageous Experience with data orchestration and workflow management tooling such as Azure Data Factory or Airflow Please see full job description attached. What you can expect ...

scientific field.You bring experience in industry, ideally within pharma, clinical development, life sciences, or another regulated data-focused environment.You can program confidently in Python, R, or similar languages, and you can support others with practical coding guidance.You understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them ...

analyses (e.g. GWAS, burden) on large-scale biobank data in Trusted Research Environments (TREs) such as UK Biobank and All of Us.Strong proficiency in R and/or Python for large-scale genomic analysis, with a commitment to clean, reproducible, well-documented code.Experience with workflow tools (e.g. Nextflow), version control ...

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they can deliver breakthrough therapies to patients faster. Join us and help scientists around the world accelerate the pace of biopharma R&DLearn about the Danaher Business System which makes everything possible.The CloudSolutions Architect will work closely with our pre-sales and delivery teams to present the optimal IT infrastructure ...

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 ...

stage) is an advantage.Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage.Strong statistical programming skills (R preferred; equivalent tools considered).Sound knowledge of ICH guidelines and understanding of regulatory requirements from major health authorities.Ability to work effectively with autonomy, manage multiple ...

postdoctoral or industry experience (5+ years) Deep expertise analysing large bulk and single-cell RNAseq datasets from complex (ideally clinical) studies Strong programming skills (R essential; others beneficial) Experience of operating in a HPC Unix environment, cloud-based computational and/or pipelining platforms, and containerization technologies (e.g., Docker Confident ...

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/ ...