Statistical Scientist

Research Biology             ·              Shanghai, China; Beijing, Beijing, China              ·              Full time

Statistical Scientist

• Shanghai, China
• Beijing, Beijing, China
• Full time

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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

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.

Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote.  If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.

Job Facts

• Job Sub Category: Statistics
• Schedule: Full time
• Job Type: Regular
• Posted Date: May 11th 2023
• Job ID: 202305-111399

Please click here to apply.