Statistical Scientist

Key Skills

Data science techniques, Effective communication skills, Employee life cycle, Environmental, Google Cloud Platform (GCP), Planning and organization, Scrum Agile Methodology

Job Description

Key Accountabilities

Data Sciences Leadership

• Accountable for the development and implementation of Data Sciences products.
• Lead and/ or support multiple elements of the drug development process across various phases of clinical trials.
• Lead and/ or support regular review of opportunities to simplify and innovate, and collaborate with experts in DSS, PDD and beyond to accelerate and deliver patient benefits faster.
• Lead and/ or support prioritization efforts, demonstrating urgency and taking smart risks to make considered decisions in a fast-paced, evolving environment.

Drug Development Strategy and Execution

• Lead or contribute technical expertise to multiple elements of the business, including: strategic planning; communication; and implementation.
• Support and/or represent DSS and PDD across multiple functions of the Roche global organization, which may include; Pharma Research and Early Development (pRED); Genentech Research and Early Development (gRED); PD; Market Access, Global Product Strategy (GPS); and Pharma Technical (PT).
• Purposefully collaborate and influence to support PDD to be at the forefront of our industry for Data Sciences.
• Collaborate with Global Health Authorities to support our product pipeline.
• Build strong partnerships and opportunities to collaborate and innovate with varying stakeholders across the Roche global organization in support of Roche products, programs, processes, systems, and/or compliance.

Career Development

• Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different Specialties and Disease Areas.
• Role model knowledge sharing within DSS, PDD, and beyond.
• Act as a coach, mentor, or buddy to help colleagues grow and develop.

Technical Accountability

• Contribute technical, therapeutic and business expertise within and external to DSS and PDD, which may include: Research and Development products; Drug development and clinical trial products; Current and new technologies; Working with external data and external organizations; Global Health Authority requirements; Data Sciences industry landscape; Statistical methods and techniques; Analytical strategies; Programming languages; Software development; Data standards; Therapeutic area expertise; Outsourcing expertise; Findable, Accessible, Interoperable, and Reusable (FAIR) Data Principles; Data Citizenship; Data Privacy; Best practices; and Process improvements, etc.
• Explore ways of modernizing insight generation through new innovative tools and technology.
• Build expertise in novel data types, statistical methods, programming languages, and analytical methodology, which may include advanced analytics, special trial designs and types, and data handling methods.
• Demonstrate a good level of system awareness.

Qualifications

• College/University degree – bachelor degree or higher or equivalent education in scientific, medical or relevant technical discipline.
• Experience in the pharmaceutical/biotech industry is preferred.
• Understanding of the end-to-end drug development lifecycle, particularly as relevant to the Specialty of interest.
• Track record of establishing successful internal partnerships and collaborations.
• Influential and confident communicator
• Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies.
• Fluency in written and spoken English
• Ability to work across multiple cultures and countries
• Knowledge of GCP, international regulations, guidelines and their application, and all other applicable compliance standards is a plus
• Willingness to travel as required

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.