equivalent in computer science, mathematics, statistics, life sciences or related field(s). Excellent SAS programming skills (BASE, MACRO, GRAPH). Excellent knowledge of CDISC standards. Statistical Programming experience within a CRO Pharmaceutical/Healthcare/Biotechnology industries. Experience in statistical programming initiatives, and development of processes. Knowledge and experience more »
Statistical Programmer - multiple levels Home based #Oncology focused Our client, a global mid-size Pharma, have extended reputation in key therapeutic indications e.g. oncology, rheumatology, rare diseases, etc. and has supported the development of some of the most successful products. more »
the types of risks associated with a study and the impact on key parameters, such as study timelines. Advanced knowledge of data structures (e.g., CDISC SDTM, ADaM), software development lifecycle and their implementation. Experience with ISS/ISE and submissions. What you will receive: Work for an award-winning global more »
the study through to final delivery of clinical datasets. Providing SAS programming support through all phases of the projects along with detailed knowledge of CDISC with experience of mapping and programming SDTM standard datasets is essential. This is a hybrid role and will initially require more office presence, gradually transitioning … planning of assigned projects. Provide hands on technical data management expertise and SAS programming support through all phases of the projects following industry standards (CDISC), from database build through to delivery of mapped datasets. Support projects from both the Clinical Site data perspective, as well as the Data Management vendor … of end to end Clinical trial and Project Data Management processes, as well as extensive experience in the Data Management industry Detailed knowledge of CDISC with experience mapping and programming SDTM standard datasets Flexible and adaptive approach, being able to rapidly re-prioritise whilst maintaining a clear vision, as well more »
when not provided by CRO. Lead the design and implementation of complex SAS programs for applications designed to report complex clinical trial data in CDISC ADaM format. Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group. Perform additional statistical analyses including: support … of clinical programming and statistical programmingprocesses and standards. Experiences with statistical programming using the SAS software includingdevelopment and use of SAS Macros. Knowledge in CDISCstandards (CDASH, SDTM, ADaM). BENEFITS Medical, Dental Vision 401K Paid time Off Our Benefits CSL employees that work at least 30 hours per week more »
industry. - Knowledge of running numerous projects at once - including Phase II and/or Phase III studies. - Familiarity with producing and verifying analysis datasets (CDISC ADaM standard), and Tables, Listings and Figures. - Pinnacle 21 experience is strongly preferred. - Expert knowledge of SAS. - Professional leadership skills coupled with exceptional communication skills. more »
the Quality Management System and to Good Clinical Practice (GCP). Ensure adherence to programming guidelines. 2. Implement and follow the latest versions of CDISC, FDA Guidelines, GCP and other industry standards. 3. Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database more »
or CRO industry working ICH/GCP guidelines. Experience in both paper and electronic TMF, and familiarity with naming and filing conventions and the CDISC TMF Reference Model and applicable industry guidelines Experience in QC, maintenance of trial tracking sheets and databases and of preparing documentation for archiving. Proven ability more »
thinking in analysis of data. Excellent written and verbal communication. Experience with clinical databases, understanding of database structures, programming languages, datastandards (CDASH/CDISC) and application of these to CRF design, data handling and reporting. Working knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory more »
Programming experience within the pharmaceutical industry essential. Excellent knowledge of SAS essential and R or Python advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinicaldatastandards (CDISC), TLFs, and submission guidelines Exposure to working with clinical datasets, statistical methodology, and CSR/submission deliverables. more »