1 to 25 of 99 CDISC Jobs in the UK excluding London

Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent More ❯

Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent More ❯

times Lead the development and implementation of advanced statistical programming solutions, including the creation of analysis datasets, tables, listings, and figures (TLFs), and electronic submission packages Ensure compliance with CDISC standards (SDTM, ADaM) and regulatory requirements for data submission Maintain rigorous standards for programming, ensuring compliance with global regulatory requirements and industry best practices Talent Development Lead, inspire, and develop More ❯

standards and how we create our datasets and outputs. The candidate must have strong SAS knowledge, 2 years Lead Statistical Programmer experience and a strong working knowledge of the CDISC standards. Working on Phase I/Early Phase trials and experience with R programming are desirable but not essential. Ideally candidates with Mathematics/Computer Science degrees are encouraged to … Statistics group, and shaping the Statistical Programming department. Later opportunities could include mentoring, cross functional process development, standard macro development. The Role: Develop and Implement Standards : Adapt and embed CDISC standards into our internal processes to ensure consistency and compliance in all projects. Team Management and Mentorship : Lead and manage a team of support programmers on our internal projects. Act … stakeholders. Essential Skills : SAS Expertise : Strong knowledge of SAS programming for data analysis and reporting. Leadership Experience : Minimum of 2 years of experience in a Lead Statistical Programmer role. CDISC Standards : Solid working knowledge of CDISC standards (SDTM, ADaM) and their implementation. Educational Background : Degree in Mathematics, Computer Science, or a related field, or equivalent professional experience. Internal Standards Development More ❯

on-time development and execution of statistical analysis and reporting deliverables (e.g., safety and efficacy analysis datasets SDTM/ADAMs, tables, listings, figures (TLF)), Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines The ability to read, analyse, and communicate large and small amounts of data efficiently, including teaching/explaining data-driven results to others. Education/Qualifications More ❯

/or clinical drug development process Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you Global exposure Variety of therapeutic areas Collaborative and supportive team environment Access to cutting-edge and More ❯

of base SAS, SAS macros, SAS/STAT; demonstrated ability to debug SAS programs Proven professional experience with SDTMs, ADaM datasets (safety and efficacy) and TFLs Solid knowledge of CDISC standards Submission experience is ideal Strong organizational skills, an autonomous and collaborative work style, a curious mind and a keen attention to detail Business fluency in English - both spoken and More ❯

Base SAS, SAS/Macro, SAS/SQL; experience with SAS/Graph is a plus Demonstrated ability to develop, maintain, and troubleshoot SAS macro libraries Strong Knowledge of CDISC Standards Hands-on experience with the implementation of SDTM and ADaM datasets Experience in Define-XML creation and CDISC validation tools such as Pinnacle 21 Regulatory Reporting Experience Direct involvement … more years of experience in clinical trial programming within the pharmaceutical, biotech, or CRO industry Advanced knowledge and experience in: SAS programming: experience in R is a major asset CDISC standards (e.g., CDASH, SDTM, ADaM) and industry best practices Technical and regulatory requirements related to the role Database set-up Clinical drug development Proficiency in English - conversational French would be More ❯

Excellent written and verbal communications skills. Demonstrated experience managing the outsourcing or externalization programming activities in the clinical trials setting (e.g. working with CROs, academic institutions) is preferred. Expert CDISC Standards knowledge. Knowledge of data structures and relevant programming languages for data manipulation and reporting. Including SAS, R and Python. #J-18808-Ljbffr More ❯

hear about it! Leading the programming activities on trials, through to planning the delivery. Develop and write the production side and or validation side of programs. Shaping our internal CDISC standards and bringing structure to innovation. Collaborating cross-functionally with statisticians, data managers, and operations. Mentoring and uplifting junior programmers. Helping us reimagine processes, develop macros, and improve efficiency. What … t need to tick every box, but here’s our ideal candidate: Solid SAS programmer with experience leading clinical trial work (minimum of 2 years leading). Confident with CDISC SDTM and ADaM implementation. Comfortable working across departments and leading timelines/resources. Background in mathematics, statistics, computing, or equivalent experience. Experience with Phase I/Early Phase clinical trials. More ❯

with a wide range of clients to lead Phase II & III studies, program statistical analyses/reports, analyze datasets, tables, figures (or graphs), listings (TFLs), with an emphasis on CDISC ADaM programming. Our team works remotely across multiple countries which provides the flexibility to adjust your schedule as needed. With much collaboration across regions, we still have that small company … experience successfully performing the role of Statistical Programmer, in the clinical research industry Experience leading Phase II and/or Phase III studies Experience creating and validating analysis datasets (CDISC ADaM standard preferred), and Tables, Listings, and Figures (TLF) Strong SAS programming experience Pinnacle 21 experience is strongly preferred Professional leadership skills coupled with exceptional communication skills Bachelor's degree More ❯

/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and More ❯

/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

review study TFL shells and dataset standards Perform data checks and exploration using tools like frequencies and histograms Program and QC datasets and TFLs in SAS following specifications Review CDISC Validation reports Ensure standards compliance Familiarity with basic statistical techniques Review project management documents Maintain audit-ready study master files General Lead study team meetings and present updates Share knowledge More ❯

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 General Lead study team meetings More ❯

the results of clinical trials and/or integrated analysis for submission; Experience in constructing technical programming specifications and producing complex, validated SAS programs; Strong experience in working with CDISC standards, including SDTM, and ADaM, and Define xml; Excellent knowledge of applied statistical methodologies; Excellent knowledge of SAS Macro, SAS/SQL, SAS/GRAPH, and SAS/STAT; Good More ❯

CRFs, CSRs Author and review study TFL shells and dataset standards Perform data checks and exploration using SAS Program and QC datasets and TFLs following specifications Complete and review CDISC validation reports Ensure standards compliance Familiar with basic statistical techniques (e.g., t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit-ready study documents General Lead study team More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

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. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯