7 of 7 Remote SAS Jobs in Cambridgeshire

strong quantitative element and analytic focus (or equivalent work experience), you will be adept at managing and analysing large and complex data using computational statistical software (e.g. R, Python, SAS). As our next Senior Data Scientist, you will have demonstrable success in building data pipelines and in developing and operationalising user-friendly data science solutions, such as automated More ❯

strong quantitative element and analytic focus (or equivalent work experience), you will be adept at managing and analysing large and complex data using computational statistical software (e.g. R, Python, SAS). As our next Senior Data Scientist, you will have demonstrable success in building data pipelines and in developing and operationalising user-friendly data science solutions, such as automated 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 ❯

statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee multi-disciplinary teams, ensuring seamless execution of assigned projects. Design, develop, validate, and execute high-quality SAS programming outputs, including listings, tables, figures, and analysis datasets. Deliver high-quality ADaM programming and specification development for analysis and reporting. Mentor and train junior staff to cultivate the More ❯

documents (protocols, SAPs, CRFs, CSRs) Author and review study TFL shells and dataset standards Conduct data checks and exploration (e.g., frequencies, histograms) Program and QC datasets and TFLs in SAS following specifications Review CDISC Validation reports Ensure standards compliance Familiarity with basic statistical techniques (t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit-ready study documents More ❯

will need: A Bachelor’s degree in Statistics, 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 you More ❯

will need: A Bachelor’s degree in Statistics, 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 you More ❯