A BSC or BA (or equivalent) in Mathematics, Statistics, Computer Science or related subject - Mandatory
Intermediate to advanced programming skills in R, some SAS and/or
Python experience a bonus
Strong CDISC domain knowledge and implementation
Strong experience with writing and applying Metadata Specifications/Derivations Experience with reuse of various forms of data such as Historical Trial data, Real World Data, Biomarker data from various sources and Disease Areas
Experience with the concept of data reuse and External Control Arms
Strong desire to investigate and assess data and metadata on a detailed level Intermediate to advanced understanding of the end-to-end clinical trial process
* Strong understanding of the purpose and application of key clinical documents Respiratory, Oncology and Immuno-Inflammation
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