Sr. Clinical Data Analyst (Contractor) (Office or Remote)
About the position Responsibilities • Generate validated, reproducible, visualizations and analysis using open-source software packages or tools (e.g., R/R-Shiny, Spotfire) to replicate more formal analyses for the purpose of clinical trial planning and design, internal data review, go/no-go decision-making and external publications or data releases • Standardize and internalize current Spotfire and other Dashboards to provide semi-automation to full automation where appropriate • Explore other open-source Data Science languages such as Python in fit-for-use analytical environment • Develop and implement R programming such as standardized packages, functions, Markdown, Flex-dashboards, R-Shiny, etc in existing analytical pipelines and new pipelines including automation of standards • Create integrated data analyses pooling data across various clinical trials or with other relevant data sources to meet business needs (e.g., real-world data analyses, tumor or indication-specific translational questions, site monitoring, safety signal detection, go/no-go decision-making), as appropriate • Develop therapeutic area landscape and benchmark analyses to facilitate discussions on new target selection, clinical development and commercialization strategies • Build and maintain data pipelines to automate data processing tasks Requirements • Bachelor's or Master's degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience • Minimum 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred • Programming experience in R or Python or similar language is a must as is experience with data display and dashboard tools such as R-Shiny, Spotfire, and Tableau (or similar) • Familiarity with reproducibility, traceability and containers (Docker) strongly preferred • Knowledge of clinical CDISC data standards and associated requirements of working in validated environments strongly preferred • Demonstrated ability to rapidly adapt to changing project and strategic requirements • Interest in continuing education, particularly in the areas of business knowledge as well as technology trends for producing analyses and visualizations (particularly with an eye towards reproducibility or interactivity) • Takes a fit-for-purpose mindset to daily work as well as long-term vision Apply tot his job