Head of Quantitative Safety Science & Data Innovation

Roche; South San Francisco (CA); Hybrid; USD 250,000 - 330,000; Full time

Job summary

Roche seeks an Associate Group Director for Quantitative Safety Sciences to lead a global team and drive data-driven safety analyses across Real World Data, clinical data, and literature sources. The role requires shaping strategies, recruiting talent, and advancing analytics within a fast-paced safety environment.

You will partner with PD Data Science, pRED/gRED, and PDMA to deliver regulatory evidence and risk assessments across Roche’s portfolio, while advancing innovative analytical methods.

Qualifications

• You hold a university degree—preferably MSc or PhD—in computer science or quantitative science.
• You bring extensive data science experience in a scientific and medical context.
• You can direct technical experts across global teams and manage stakeholders.
• You are familiar with drug safety data and related processes.

Responsibilities

• Lead a global team of Quantitative Safety Scientists across locations.
• Set remit and goals, coach, recruit, and develop talent in line with strategy.
• Oversee delivery of Quantitative Safety Science with high quality standards.
• Collaborate with PD Data Science, pRED/gRED, and PDMA on strategic projects.

Skills

Data science

Leadership

Pharmacoepidemiology

Pharmacovigilance

Relational databases

Education

Master's or PhD in computer science or quantitative sciences

Tools

FAERS

Clinical trial databases

Literature databases

Job description

Roche seeks an Associate Group Director for Quantitative Safety Sciences to lead a global team and drive data-driven safety analyses across Real World Data, clinical data, and literature sources. The role requires shaping strategies, recruiting talent, and advancing analytics within a fast-paced safety environment.

You will partner with PD Data Science, pRED/gRED, and PDMA to deliver regulatory evidence and risk assessments across Roche’s portfolio, while advancing innovative analytical methods.