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As Associate Group Director, Quantitative Safety Sciences, you will lead a multidisciplinary team to deliver data-driven analysis and model-based insights for Roche’s medicines. This role is ideal for candidates with a scientific background and experience in global scientific environments. At Roche, you are valued for your unique qualities, and the culture encourages personal expression, open dialogue, and genuine connections, allowing you to thrive both personally and professionally. The Global Product Development Safety & Risk Management (PDS) department aims to enhance healthcare for patients by elucidating and communicating the safety profile of Roche medicines to optimise their benefit-risk profile.

Tasks

  • Provide line leadership to a multidisciplinary team spanning Data Science (including AI/ML), Pharmacoepidemiology, and Pharmacovigilance Literature.
  • Guide the team in establishing data-driven analysis strategies, model-based insights, and literature evidence to support regulatory deliverables and enhance molecule risk profiles.
  • Drive cross-functional collaboration with groups such as PD Data Science, pRED/gRED, and PDMA.
  • Balance team resources, recruit and develop talent, and foster an agile, high-quality delivery culture.
  • Advance innovative analytical approaches to anticipate, manage, and characterise risk across Roche’s portfolio.
  • Role model Roche Values and Leadership Commitments while providing effective leadership to a global team across multiple locations.
  • Set team direction in terms of remit, emphasis, style, behaviours, and culture, supporting staff to adhere to organisational models and new ways of working.
  • Lead self and others to deliver impactful outcomes, support team members’ delivery, and bring critical thinking to shape issues and opportunities into meaningful actions.
  • Implement process improvements and adapt the team’s ways of working to achieve continually improving quality and efficiency.
  • Set team and individual goals aligned with the Roche Safety Strategy, holding Quantitative Safety Scientists accountable for their behaviours and actions.
  • Oversee the delivery of Quantitative Safety Science, ensuring adherence to defined quality-bound processes and scientific standards.
  • Utilise advanced data science, pharmacoepidemiology methodologies, and literature queries across Real World Data, Clinical Trial data, and literature databases.
  • Provide leadership for scientific projects, offering input on strategic and context information for fit-for-purpose solutions.
  • Consult on best methodologies to leverage available data sources for quantitative evidence generation in support of pharmacovigilance and safety risk management.
  • Establish internal and external networks to anticipate future opportunities, understand stakeholder needs, and promote collaborative projects.
  • Lead or contribute to global cross-functional initiatives and PDS strategic projects to define and implement SAR and PVSD priorities.
  • Assume responsibility for resource allocation and prioritisation to projects and requests according to individual capabilities, development needs, and project priorities.
  • Proactively recruit team members in line with the agreed SAR strategy and ensure effective onboarding activities and training.
  • Ensure direct reports have effective line and performance management, are coached, trained, and developed to maximise their potential and contribution.
  • Ensure suitable training and education material is available for team members and customers, and lead knowledge-sharing activities within the group.
  • May deputise for the Group Director, Safety Analytics and Reporting.

Requirements

  • Hold a university degree—preferably an MSc or PhD—in computer science, quantitative science (e.g., Data Science, Statistics, Pharmacoepidemiology), or natural sciences with a specialisation in statistical data analysis.
  • Bring extensive data science experience in a scientific and medical context.
  • Combine applied working knowledge of relational databases with expert command of modelling techniques.
  • Demonstrate excellent leadership, coaching, and project management skills.
  • Proven ability to direct technical experts (data scientists, pharmacoepidemiologists, literature scientists) and delegate effectively in global line or matrix settings.
  • Possess deep familiarity with drug safety data (including FAERS, clinical trials, biomarkers, and Real-World Data), data structures, and relevant business processes.
  • Excel at strategic and analytical thinking in ambiguous situations.
  • Translate complex scientific questions into data reporting and analysis strategies, and communicate them clearly both in writing and presentations.
  • Have highly developed influencing skills and a track record of driving decisions without authority.
  • Build effective collaborations across business units and strengthen relationships with internal and external partners.
  • Demonstrate scientific rigour and creativity, inclusive teamwork, and exceptional delivery.

Benefits

At Roche, you are embraced for your unique qualities and valued, accepted, and respected for who you are, allowing you to thrive both personally and professionally. Roche is an Equal Opportunity Employer.

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Über uns
Roche ist ein international tätiges Schweizer Pharma- und Diagnostikunternehmen mit Sitz in Basel und entwickelt, produziert und vertreibt Medikamente sowie diagnostische Lösungen. Das Unternehmen ist in den Bereichen Pharma und Diagnostik tätig und fokussiert sich auf Forschung und Innovation in verschiedenen Therapiegebieten wie Onkologie, Neurologie und Infektionskrankheiten. Roche ist weltweit aktiv und zählt zu den führenden Unternehmen im Gesundheitsbereich.
Das Team

The Quantitative Safety Sciences team is multidisciplinary, spanning Data Science, Pharmacoepidemiology, and Pharmacovigilance Literature, and operates across multiple global locations. The team collaborates with various groups such as PD Data Science, pRED/gRED, and PDMA, and is supported by leadership that encourages agile, high-quality delivery and ongoing development.

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