Principal Bioinformatics Scientist I

Roche•Pleasanton, CA

2d•$121,400 - $225,400•Onsite

About The Position

This role is a vital part of our Bioinformatics team, which is dedicated to pioneering advanced computational solutions that drive innovation in molecular diagnostics. As a member of this team, you will bridge the gap between complex biological data and actionable clinical insights through robust software engineering and database architecture. You will have the unique opportunity to collaborate closely with a multidisciplinary group of wet-lab scientists, software engineers, and clinical researchers to deliver tools that have a global impact on patient care.

Requirements

9 years of related experience with a Bachelor's degree; OR 7 years of related experience with a Master's degree: OR 4 years of related experience with a PhD.
Post-grad training in academic labs can be considered with adjustment if in the same line of work.
Highly proficient in Python and R, with deep expertise in object-oriented programming, Linux systems, and managing high-performance computing environments.
Excel at working within a matrixed organizational structure, effectively balancing priorities from multiple stakeholders across R&D, IT, and Quality teams.
Proven ability to translate intricate technical and algorithmic concepts for non-computational audiences, ensuring alignment between diverse scientific disciplines.
Strong track record of developing frontend applications using modern frameworks (React, Angular, or Vue) to create intuitive interfaces for multidisciplinary project teams.

Responsibilities

Lead the design and development of end-to-end computational solutions, from scalable backend database architectures to intuitive frontend interfaces.
Build and optimize the digital infrastructure that powers our PCR assay development and large-scale genomic analysis.
Design and deploy robust database structures and APIs that ensure efficient processing and retrieval of massive biological datasets.
Lead the R&D of high-performance algorithms and automated workflows specifically tailored for clinical diagnostic applications.
Build user-friendly web applications and interactive visualization tools that allow scientists to explore complex "omics" data in real time.
Leverage High-Performance Computing (HPC) and Linux environments to implement cutting-edge software engineering best practices, including version control and CI/CD.
Research and integrate emerging technologies in computational biology to maintain Roche’s position at the forefront of molecular biotechnology.
Convert complex scientific requirements from wet-lab stakeholders into functional, high-quality code and reproducible documentation.