About the position
As the Global Head of Early Development Biometrics, you will provide strategic leadership and oversight across Biometrics functions - e.g., Biostatistics, Statistical and Analytical Programming, Data Management - to ensure a cohesive and high-performing collective function that drives excellence in service of our strategy through deep partnership with Roche early development groups. You will also oversee Biometrics-wide capabilities including innovative methods and analytical / digital enablers embedded within our workflows and processes. You will report to the Global Head, PD Data Sciences & Analytics (PD-DSA), and you will be responsible for shaping the early development strategy across all core Biometrics capabilities and therapeutic areas in alignment with broader PD-DSA and company objectives, as well as your organization's overall performance. You will shape the strategy and execution for early development trials at Roche by partnering closely and influencing activities across Biostatistics, Statistical and Analytical Programming, and Data Management as they pertain to the early development portfolio. You will ensure scientific rigor, innovative approaches, and high-quality data solutions, all in service of accelerating decision-making and insights generation for early-phase clinical trials. Your team will leverage cutting-edge analytics, data standards, and automation to ensure delivery of timely, high-quality insights that inform critical decisions in early drug development. You will lead a global, high-performing organization of approximately 75-100 early development-focused professionals, including Biostatisticians, Statistical Programmers, and Data Managers, to support the unique demands of early development. Your direct reports will be a team of directors and above.
Responsibilities
- Develop and set a clear PD-DSA strategy and goals that align with Roche's broader objectives.
- Embed and drive the adoption of PD-DSA's strategic imperatives of Data, Digital/AI, and Design (the 3Ds) across your teams' workflows.
- Act as a role model for your teams by delivering excellence in all aspects of your work.
- Define and create clear accountability across each function in your organization and beyond.
- Provide strategic leadership and oversight across all early development studies.
- Lead a team of approximately 75-100 leaders across a global organization.
- Develop and implement a comprehensive integrated Biometrics strategy.
- Provide expert guidance to clinical development teams on study design and statistical methodology.
- Partner with cross-functional leaders to develop and align Biometrics capabilities.
- Evaluate challenges as they arise and direct them to the appropriate decision-makers for resolution.
- Lead the development and validation of innovative Biometric methods.
- Act as the primary liaison between PD-DSA and key stakeholders across early development.
- Ensure seamless collaboration between PD-DSA and internal early development stakeholders.
- Represent biometrics at cross-functional meetings and industry forums.
- Shape early development strategies by providing data-driven insights.
- Lead Biometrics activities, ensuring scientifically innovative study designs.
- Oversee early development statistical programming deliverables.
- Define and implement data management strategies for planning and acquisition of diverse data types.
- Drive the adoption of advanced analytics, automation, and data integration tools.
- Lead, inspire, and develop a high-performing global team of early development professionals.
- Establish a strong culture of accountability, innovation, and continuous learning.
- Define clear performance metrics and success criteria for the Early Development Biometrics function.
- Track performance metrics for the team's overall success.
Requirements
- MSc, PhD, or other advanced degree in Biostatistics, Statistics, Data Management, Computer Science, or a related field.
- More than 15 years experience in the pharmaceutical/biotech industry with an emphasis in early development Biometrics.
- In-depth knowledge of Good Clinical Practice (GCP) and compliance standards related to data and statistical sciences.
- Proficiency in statistical programming languages and tools (e.g., SAS, R, Python) and data management systems.
- Strong understanding of clinical trial design, data collection, and regulatory requirements.
- Experience with new trends in relevant data types and analytics.
- Thorough understanding of the end-to-end drug development lifecycle.
- Proven experience in leading and managing high-performing teams.
- Strong strategic thinking and problem-solving skills.
- Experience driving cross-functional collaborations within the life sciences or healthcare industry.
- Excellent communication and interpersonal skills.
- Ability to stay abreast of the latest trends and advancements in biometrics.
- Willingness to adopt new technologies and methodologies.
- Track record of establishing successful internal and external partnerships.
Nice-to-haves
- Experience leading Biometrics in a small- to mid-sized Biotech focused on early-stage assets.
- In-depth experience in AI and digital advancements.
Benefits
- Relocation benefits are available for this job posting.
- Discretionary annual bonus based on individual and Company performance.
