Cytel Benefits Overview

Performs statistical programming for Phase I-IV clinical trials, including clinical data manipulation, analysis, reporting, dataset and analysis file creation, TLF development and validation, ad hoc reporting, efficacy analysis, and submission package preparation. The role is designed for a recent graduate and involves working within a global pharmaceutical client team while following established processes and meeting deadlines.

Develops, validates, and maintains Power BI clinical, safety, and operational dashboards for trial monitoring and data review. Creates visualization standards, reusable components, specifications, and quality-control processes. Translates study needs into reliable dashboard solutions and collaborates with Statistics, Data Management, Clinical Operations, Safety, Standards, and external partners. Applies Power BI, SAS, Python, R, automation, and emerging analytics technologies across the clinical data lifecycle, using CDISC standards including CDASH, SDTM, and ADaM.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.