Statistical Scientist Full-time

Roche Data Scientist Position

At Roche, you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted, and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop, and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Roche Data Scientists are essential leaders in driving and implementing a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

As a Data Scientist at Roche Pharma, you'll actively shape the future of healthcare as a member of Data and Statistical Sciences (DSS) within Product Development (PD) and PD Data Sciences (PDD).

You will be responsible for the strategic and analytical activities of the molecules and devices in our pipeline on a level matching your seniority.

DSS activities span multiple therapeutic areas, a wide range of data types, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society.

Your responsibilities in support of our PDD products may include a wide variety of contributions: partnering with key stakeholders, working on the molecule portfolio, supporting specialized business areas, or contributing to key initiatives that shape our technical, business, and healthcare environments. You may be a work product owner and leader, quantitative expert on a project team, or driver of key internal or external relationships.

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.