Principal Programmer Position Available In Philadelphia, Pennsylvania

Serve as member of the Clinical Programming team to introduce new programming languages, technology, and software to GSK’s clinical trial process. Responsible for adoption of SAS, R and Python open-source coding into day to day programming tasks, exploring machine learning to drive efficiencies for clinical reporting, and developing desktop visualization capabilities. Implement bioinformatics theory and methods to support, guide, and make a major contribution to the planning and execution of multiple programming activities for GSK clinical trials. Accountable for developing algorithms for processing and analyzing computational and clinical data used to create, verify, and document clinical data while adhering to study protocols, analysis plans and GSK/industry standards. Responsible to make contribution to the planning and execution of multiple programming activities while working to investigate new technology as directed. Ensure team’s programs and issues are adequately managed for programming activities to achieve business outcomes. Share analyses with peers and contribute to internal technical discussions/forums; be an active member of external professional/industry organization; initiate new directions and novel strategies to achieve department goals; and effectively explain technical concepts to non-technical colleagues. Perform project management for programming activities, including approval of plans under supervision, to achieve technical or business outcomes within department; contribute to and influence the strategic planning and direction of a project; and automate data creation, graphs, tables, and certain statistical analyses using R scripts and/or SAS programs.

Must have a Bachelor’s degree (or foreign equivalent) in Biotechnology or a related field. Must have 5 years of post-baccalaureate experience in the following: R/Tidyverse programming or SAS programming; Script/macro code development; GxP, ICH requirements, internal processes and external regulations that govern drug development; Writing and applying Metadata Specifications/Derivations; R-Shiny, Python, JMP, SAS/GRAPH, or SAS Output Delivery System. Ability to work remotely 100% anywhere within the continental US.