Your primary responsibility as a Data Analytics Leader (DAL) will be to provide strategic and technical direction to drive the development and implementation of Early Clinical Development (ECD) data review and data visualization at indication, program, and study levels.
You will innovatively develop the tools and processes that are fit for purpose and create maximum impact on the organization.
You will continuously review opportunities to simplify, innovate, and collaborate with experts within and outside of ECD to create efficiencies in support of our ECD vision. As a DAL, you will collaborate with cross functions to build the data review/visualization tools to meet the clinical stakeholder’s needs at the portfolio level.
Strategically uses the internal and external data, and develops advanced data visualizations that fit for gRED early clinical development purpose.
Acts as a main point of contact for Therapeutic Area (TA) leads or disease area leads with questions on specific disease area data exploratory analysis needs.
Provides guidance training and consultation for stakeholders on the visualization tools.
Collaborates within ECD and other line functions to align and simplify processes that prevent redundancy in analytics.
Uses strong technical expertise and skills to find opportunities for innovation, efficiency, and simplification with the mindset of working smarter.
Requirements & Skills:
Bachelor’s degree or higher or equivalent education in statistics, computer science, data science, or relevant technical discipline.
Significant experience in the pharmaceutical/biotech industry.
Strong/thorough understanding of the end-to-end drug development lifecycle.
3 years of experience with clinical data visualization tools is required, such as Spotfire®, tableau, and Rshiny and 3 years of experience in creating SDTM, ADaM, and developing TFL is a huge plus.
Experience with IronPython and JavaScript in Spotfire preferred.
Prior experience with analytical/statistical data analysis tools/programming languages (e.g. R, SAS, Python, SQL, or other) nice to have.
Track record of establishing successful internal partnerships with relevant partner organizations.
