2 of 2 Remote Data Quality Jobs in Addlestone

others with an open and progressive culture experience. They are looking for a candidate with 8+ years of Statistical Programming experience and extensive Oncology experience. Substantial experience in clinical data standards ADAMS, TLFs, and submission guidelines, and hands-on programming experience within one or more statistical/data science programming languages (e.g., R, SAS, or Python). Key … and potential constraints. Assign roles and hold stakeholders accountable to meet project outcomes on time and within budget. Ability to read, analyze, and communicate large and small amounts of data effectively, including teaching/explaining data-driven results to others. Substantial experience in clinical data standards ADAMS, TLFs, and submission guidelines. Hands-on programming experience within one … or more statistical/data science programming languages (e.g., R, SAS, or Python). Knowledge of the data science lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization). Knowledge of study documents such as Protocol, SAP, TLF specs, and data specification. 3+ years experience working with More ❯

drive initiatives that improve awareness, education, access and ultimately standards of care. The Opportunity: We have an exciting opportunity for a Statistical Programming Lead to join our new hub Data Science team in the UK to work within our established Data Science/Statistical & RWD division on a global scale alongside over 200 team members internationally. As a … to functional/departmental infrastructure projects. You will also be assigned to the most complex tasks, offer training/mentoring to other programmers, and lead assigned Statistical Programming and Data Science strategic objectives and drive implementation of relevant functional objectives. Key Activities for this role: Is responsible for the production of high-quality, on-time statistical programming deliverables … a related industry and exposure to working with vendors. Substantial years of experience of relevant programming experience in the pharmaceutical industry and working with vendors An understanding of the data science lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization. Responsible for the high-quality, on-time development More ❯