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 »
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 »
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 »
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 »