6 of 6 SAS Jobs in Tyne and Wear

Social network you want to login/join with: Specialist, Computational Pharmaceutics, newcastle-upon-tyne, tyne and wear col-narrow-left Client: Spherical Search Location: newcastle-upon-tyne, tyne and wear, United Kingdom Job Category: Other - EU work permit required More ❯

diverse therapeutic areas will be key to success in this role. 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 More ❯

we deliver. What skills, knowledge and experience will you need? Comfortable working with a range of programming languages like Python, SQL, and Proc SQL-with a particular focus on SAS, SAS Enterprise Guide, and Informatica. Skilled at digging into complex data and code to troubleshoot issues and ensure everything runs smoothly and accurately. Experienced in using industry standards More ❯

validating, and executing statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee multidisciplinary teams, ensuring seamless project execution. Design, develop, validate, and execute high-quality SAS programming outputs, including listings, tables, figures, and analysis datasets. Deliver high-quality ADaM programming and specifications for analysis and reporting. Mentor and train junior staff to develop future programming More ❯

business, as well as supporting the creation of a new data lakehouse/warehouse. Key skills and experience required: Databricks (essential) Python R ELT/Pipeline management Qlik/SAS or similar Excellent communication with both technical and non technical stakeholders and colleagues The role will be hybrid working in their Newcastle office (2 days per week in office More ❯

Author and review simple and complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. More ❯