1 to 25 of 124 Remote CDISC Jobs in the UK

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 ❯

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 ❯

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

Senior Backend Software Engineer (C# .NET Core) - Revolutionise Healthcare with REST API Design! Are you ready to make a monumental impact in the healthcare industry? We're looking for a Senior/Lead Backend Software Engineer with a strong focus 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 ❯

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 ❯

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Experience in R Experience with industry data standards such as CDISC(ODM: CDASH, SDTM, ADaM), HL7 FHIR, OMOP(CDM) etc. Experience with digital clinical trials protocol and Unified Study Definition Model (USDM)Experience in data modelling Closing Date for Applications - July More ❯

listings) when not provided by CRO. Leads and oversees the design and implementation of complex SAS programs for applications designed to analyze and report complex clinical trial data in CDISC ADaM format. Leads and oversees the development of global tools that will increase the efficiency and capacity of the Statistical Programming group. Works closely with clinical study teams to plans … e.g. GCP, ICH). • Extensive experience with statistical programming using the SAS software including development and use of SAS Macros. Strong programming and problem-solving skills. • Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM). • Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities (or equivalent). • Proven ability to work 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 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 written – is a must More ❯

will be doing: You’ll lead statistical programming projects, ensuring high-quality, on-time deliverables. This includes developing and validating SDTM and ADaM datasets, performing QC reviews, and ensuring CDISC compliance. You’ll resolve Pinnacle 21 validation issues, review TLFs for consistency, and contribute to regulatory submissions. You'll also create define.xml files, develop and maintain macros, and perform data … + 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: The opportunity to be involved in a growing organisation. Enjoy a healthy work More ❯

will be doing: You’ll lead statistical programming projects, ensuring high-quality, on-time deliverables. This includes developing and validating SDTM and ADaM datasets, performing QC reviews, and ensuring CDISC compliance. You’ll resolve Pinnacle 21 validation issues, review TLFs for consistency, and contribute to regulatory submissions. You'll also create define.xml files, develop and maintain macros, and perform data … + 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: The opportunity to be involved in a growing organisation. Enjoy a healthy work More ❯

level team. Review eCRF, discuss data structures and review activities, ensure project-level standardization which allows pooling and efficient CRT production. Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. CSPD and other project-level strategies). Provide and … programming deliverables as well as accuracy and reliability of statistical analysis results. Maintain up-to-date advanced knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings. Establish successful working relationships on individual studies with external associates according to agreed contract and internal business guidance. Act as … deliverables, proven experience in development of advanced MACROs. Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications. Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs. Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures). More ❯

non-clinical studies; supporting regulatory submission activities; producing and validating datasets and outputs to excellent quality while adhering to deliverable timelines. The ideal candidate will have excellent knowledge of CDISC SDTM and ADaM implementation guidelines, working independently in this area; producing, reviewing, and updating complex dataset specifications (including efficacy); creating and debugging complex macros; reviewing Statistical Analysis Plans (SAPs), including … industry. Good awareness of clinical trial issues, design, and implementation. Experience with regulatory submissions and associated industry guidance. Familiarity with GCP and regulatory requirements. Knowledge of SDTM and ADaM CDISC standards. Apply Now With the world's focus on clinical trial data, this is a fantastic time to join an award-winning, specialized biometric CRO renowned for its technical expertise 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 ❯

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 ❯

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 ❯

Trial Team (CTT). Review eCRF, discuss data structures and participate in data review activities as member of the extended CTT. Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements at project-level, review and develop programming specifications as part of the analysis plans. Provide and implement statistical programming solutions; ensure knowledge … programming deliverables as well as accuracy and reliability of statistical analysis results. Maintain up-to-date advanced knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings. Establish successful working relationship on individual studies with external associates according to agreed contract and internal business guidance As assigned … environment to develop and validate deliverables. Plus R. Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications Good knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures). 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 ❯

complex clinical trial projects Collaborate with clients and project teams, offering technical oversight and contributing to bid defences Create and validate SDTM and ADaM dataset specifications in line with CDISC standards and SOPs Contribute to regulatory submissions, with opportunities to engage directly with health authorities Mentor junior programmers and foster collaboration within global teams Develop tools, macros, and utilities to 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 ❯