Ensures consistency with the SAP and reviews for correctness and quality.
Performs senior-level reviews and is responsible for the datasets and outputs of a project. Can oversee statistical deliverables such as they are consistently compliant, in timing and quality, with SOPs and departmental standards. Provide guidance to the clinical and regulatory teams regarding conclusions and inferences from the data package. Review and approve key results and statistical conclusions. Oversee design and execution of statistical methods (SAP), statistical analyses, and results (e.g., summary sections for clinical study reports (CSR)). Interact with relevant stakeholders to ensure that appropriate statistical methods are adequately and consistently applied in all scientific and regulatory documents, presentations, and publications. Provide scientific/statistical insight in addressing questions from clients and propose novel solutions to technical issues. Experience in multiple disease areas and in Bayesian statistical methods will be a plus. Ability to work independently with cross functional CTT. Experience in data analyses with SAS and R. Supporting early phase clinical trials (First in Human to PoC and clinical pharmacology) – support on-going studies with clinical data analyses and reporting out for CSR. For more information, visit or follow MMS on LinkedIn. With a global footprint across four continents, MMS maintains a 97 percent customer satisfaction rating, and the company has been recognized as a leading CRO in Global Health & Pharma’s international awards programs for the last three consecutive years. 
Strong industry experience, technology-enabled services, and a data-driven approach to drug development make MMS a valuable CRO partner, creating compelling submissions that meet rigorous regulatory standards.
#Iss and ise in sas interview questions trial#
MM S is an innovative, data-focused CRO that supports the pharmaceutical, biotech, including clinical trial transparency, and medical device industries with a proven, scientific approach to complex trial data and regulatory submission challenges.
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