and experience. • Knowledge of database set-up and report publishing requirements. • Advanced knowledge of technical and regulatory requirements related to the role. • Knowledge of CDISCstandards (e.g., CDASH, SDTM, ADaM) and industry best practices. • Advanced knowledge and experience of clinical drug development or healthcare. more »
with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISCstandards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex statistical concepts to non-statistical audiences. Ability to 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 »
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 »
Mathematics, Computer Science or similar). 3-5 years’ experience with SAS® programming within the clinical industry. Working experience of using and implementing the CDISC SDTM and CDISC ADaM standards. At least 2 years’ experience in leading studies from data extraction through to TFL outputs. Desirable Experience with R or 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 »
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 »