14 of 14 Permanent R Jobs in Newcastle upon Tyne

a similar analytical role. Strong proficiency in data visualization tools such as Tableau, Power BI, or similar. Experience with programming languages such as Python, R, or SQL for data manipulation. Knowledge of statistical analysis techniques and their application in a business context. Excellent problem-solving skills and attention to detail. More ❯

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences More ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction More ❯

in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home More ❯

What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program non-efficacy More ❯

of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling Knowledge of R or Python More ❯

in-house tools. At the Lead level, you will also operate as a mentor and supervisor to junior colleagues. What you'll do: Utilise R and/or Python, and any of Perl, C, C++, Java, JavaScript or Scala for programming. Work with cloud platforms (predominantly GCP and AWS) Implement More ❯

Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for More ❯

C# .NET C ore and microservice architecture. Strong experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD More ❯

brightest experts in the industry. You will play a significant part of the planned technology expansion journey, gaining exposure to other languages such as R or Python. What you’ll be doing: Lead Phase II/III studies, crafting, validating, and executing statistical programs for listings, safety, efficacy outputs, and More ❯

with biologists, data scientists, and product stakeholders across the business. Bioinformatic Software Engineer requirements: Proven software engineering and DevOps experience within a research or R&D setting. Strong understanding of sequencing data analysis, particularly read alignment and variant calling algorithms. Degree educated in Computer Science, Bioinformatics, or a related field. … Linux systems. Knowledge of transcriptomic technologies such as Illumina, PacBio, or Nanopore. Understanding of transcriptome annotation and the impact of alternative splicing. Skills in R, C++, or similar for statistical analysis and visualisation. Personal Attributes: Curious and proactive, with a desire to learn and ask questions. Strong communicator, able to More ❯

Statistician Who you are... You’re an early-career statistician who’s proficient in R, a working knowledge of data analysis and management solutions such as Python and SQL would be ideal. Your background is in clinical, healthcare, health services, or pharmaceutical research background, and when we talk about the … knowledgeable about data protection issues. · Being able to write software programs, for example, to extract data from databases and to clean data (using SQL, R, Python, Java). · Managing your workload, including developing and following process documents that sit within the Analytics team. Essential skills and experience... · MSc or PhD … in Statistics, Biostatistics, Data Science, or another demonstrably relevant field. · Proven knowledge of the R environment. · Demonstrated high degree of technical competence and effective communication skills, both oral and written. Desirable skills and experience... · 1+ years of experience · Good knowledge of any of the following: · Python · SQL · Java · Stata · Experience More ❯

are what you have been looking for! We are looking for a Senior Principal Data Scientist with strong technical skills using either Python or R, experience leading teams and the ability to communicate with both technical and non-technical teams across the business. This role sits within Optum UK Health … Who you’ll be We need you to demonstrate significant experience within data science. We want you to have experience in either Python or R together with experience leading data science teams. You will also have solid experience of creating and implementing both the strategic and technical direction of those … have had business benefit. Other skills we are looking for you to demonstrate include: Advanced degree in a quantitative discipline. Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability More ❯