Statistician & Data Scientist

Genentech • Philadelphia, PA

12d

About The Position

At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence (PTE) is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients. We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients. The Opportunity As a Statistician and Data Scientist, you will contribute to advancing data science and statistical solutions across PT, with a focus on cell and gene therapy. Working closely with scientists, engineers, and business partners, you’ll design experiments, analyze data, and build tools that generate insights, improve efficiency, and accelerate drug development. We’re looking for an open-minded, innovative individual who enjoys solving scientific and operational problems with data, values collaboration, and is eager to learn in a dynamic environment.

Requirements

• You have a Master's or Ph.D. in Statistics, Biostatistics, or relevant field.
• At least 1 year experience in designing experiments (DOE), analysing complex datasets, and applying statistical methods to pharmaceutical technical development, particularly in cell and gene therapy.
• At least 3 years of hands-on experience with statistical techniques (e.g., linear mixed models) and tools such as R and JMP.
• Familiarity with regulatory guidelines (FDA, EMA), strong collaborative skills for working in multidisciplinary teams, and great communication skills for reporting and stakeholder liaison.
• Analytical and problem-solving skills, ability to manage multiple projects, and high attention to detail to ensure accuracy and reliability.
• Self-motivated, able to work independently, keen on staying updated with new developments in statistics and data science, and passionate about continuous improvement and learning.

Responsibilities

• Provide statistical expertise and solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for cell and gene therapy.
• Collaborate with cross-functional teams to identify key scientific and operational questions and define analytical approaches.
• Design and execute studies that generate reliable data to support decision-making.
• Undertake research using scientific approaches and state-of-art methodologies, including machine learning and AI, to analyze complex datasets.
• Interpret results and communicate insights clearly, translating findings into actionable business and scientific recommendations.
• Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Keep current with emerging methodologies, regulatory requirements, and industry trends through continuous learning and professional engagement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees