Data Analytics Leader, Early Clinical Development

Genentech • Daly City, CA

2d • $140,900 - $261,700 • Hybrid

About The Position

We advance science so that we all have more time with the people we love. The Data Analytics Leader (DAL) is an expert in data visualization, data analysis and data insights, enabling the stakeholders to efficiently and effectively review and analyze data from internal studies and external published data. The DAL works directly with ECD Clinical disease area leads, Safety Scientists, and other line function colleagues to ensure that indication or disease specific scientific questions are explored thoroughly using creative data analysis and data visualizations through effective collaboration and innovation. The DAL is also responsible for aligning analytical data visualization and data analysis from other line functions. 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 analytical data visualization at indication, program and study level. You will innovatively develop the tools and processes that are fit-for purpose and create maximum impact to 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 portfolio level. The DAL manages the implementation of medical data review and the analytical application tools (e.g., Spotfire® or RShiny) by providing training, and dedicated support. The DAL contributes to and drives ECD portfolio medical data review/visualizations that create high impact in ECD.

Requirements

• Bachelor degree or higher or equivalent education in statistics, computer science, data science, or relevant technical discipline.
• Significant experience in clinical trial data analysis and data visualization in the pharmaceutical/biotech industry.
• Strong/thorough understanding of the data flow in the end-to-end drug development lifecycle.
• At least 5 years of experience in creating SDTM, ADaM, and developing TFL using SAS or R/RShiny.
• 2 years of experience with clinical data visualization tools, such as Spotfire®, tableau, or RShiny is a huge plus.
• Experience with IronPython and JavaScript in Spotfire preferred.
• Track record of establishing successful partnerships across the organizations.
• Excellent written and verbal communication skills and strong project management skills.

Nice To Haves

• Experience with IronPython and JavaScript in Spotfire preferred.

Responsibilities

• Strategically uses the internal and external data, develops advanced data visualizations that fits 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 and training and consultation for stakeholders on the analytical visualization tools.
• Collaborates within ECD and other line functions to align and simplify processes that prevent redundancy in analytics, and facilitate speed up the data driven decision.
• Creates derived datasets from raw clinical trial data to support statistical analysis and reporting.
• Writes detailed specifications for datasets, tables, and analyses based on clinical and regulatory requirements.
• Develops and maintains standard macros, reusable functions, and tools to improve efficiency and ensure compliance with industry standards.
• Uses strong technical expertise and skills to find opportunities for innovation, efficiency and simplification with the mindset of working smarter.
• Strong interpersonal skills and the ability to navigate in a complex, international, and matrixed environment.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• This position also qualifies for the benefits detailed at the link provided below.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior