2027 Spring Intern - Product Technical Development - Digital Sciences Focus

The Position 2027 Spring Intern - Product Technical Development - Digital Sciences Focus Department Summary Pharmaceutical Technical Development (PTD) develops, delivers, and supports robust, cost-effective production methods and technologies for innovative therapeutics to meet the needs of Genentech’s Research, Development, Commercial, and Product Operations groups. The group has long been recognized as a world leader in developing large-scale manufacturing processes, sophisticated analytical methods, and effective drug delivery systems. This internship position is located in South San Francisco, on-site

The Opportunity

A Technical Development Intern position is available in the Analytical Department (PTDA within Pharma Technical Development Organization) with Digital Sciences focus. Candidates applying for the PTDA Intern Program should be passionate about science/engineering and thoroughly enjoy the challenges associated with complex problem-solving. Candidates must be highly self-motivated and able to work effectively as individuals and as part of multi-disciplinary teams in an atmosphere of casual intensity to develop medicines for unmet medical needs. As a Digital Sciences intern, you can expect to leverage your programming skills to contribute to digital projects, such as full-stack software applications and data science models, that will make an impact across the entire PTD organization. These projects are often aimed to enable greater insights from data, more innovative drug development, and faster delivery of medicines to patients. Previous internship projects have included but are not limited to: Design and build automated data processing workflows and comprehensive visualization dashboards to analyze complex mass spectrometry data. Conduct data-driven analyses by digital tools to benchmark and quantify performance metrics (e.g. sensitivity, speed, and robustness) across advanced mass spectrometry platforms. Developing in-house data extraction, processin