RVA Specialist

Department Summary

This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across early clinical development at Roche. We partner across Biostatistics, Analytical Data Science, and Data Management to enable data-driven decision-making from first-in-human through proof-of-concept studies.

As trusted partners in early development, we design efficient and innovative clinical trials, apply rigorous statistical methods, and implement high-quality programming and analytical solutions to accelerate timelines, de-risk development, and increase the probability of technical success. Our integrated teams operate with agility and scientific depth, supporting exploratory analyses, early regulatory engagements, and complex data-generation needs across therapeutic areas. Together, we bring scientific rigor, technical innovation, and strategic insight to shape the future of early development and deliver better outcomes for patients.

Early Development Biometrics is also home to the Statistical Methodology group, which enables the most impactful use of quantitative methodology across PDD through internal consultation, external collaboration, and continuous capability building; and Visual Analytics, which creates and maintains interactive dashboards that drive high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints.

The Opportunity

The Real-time Visual Analytics Specialist in Early Development Biometrics is responsible for designing, delivering, and maintaining interactive, study-level data visualizations that support Medical Data Review (MDR) and safety signal detection. Operating at the intersection of data science, clinical research, and digital enablement, this role ensures that visual analytics are aligned with Risk-Based Quality Management (RBQM) principles, defined Critical to Quality (CtQ) factors, and Medical Data Review Plans (MDRPs).

As a Real-time Visual Analytics Specialist, you will create standardized yet customizable data visualization templates and provide study teams with high-impact graphical tools to support early development decision-making. You will also serve as a partner and point of support for clinical scientists, offering training and ongoing consultation to ensure effective use of visual analytics in study workflows. With an eye toward scalability, compliance, and scientific relevance, the Real-time Visual Analytics Specialist plays a critical role in accelerating insight generation across exploratory and safety-critical endpoints.

• You create and maintain standardized data visualizations to support Medical Data Review and safety signal detection, following established templates and guidance.

• You apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints.

• You work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones.

• You support documentation and quality control of visualization deliverables to ensure traceability and compliance.

• You participate in training sessions and incorporate feedback from more experienced Real-time Visual Analytics Specialists.

• You assist in responding to basic stakeholder requests and clarifying data availability or visualization functionality.

• You work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding.

• You apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations.

• You adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and regulatory expertise.

Who You Are

• You hold a Bachelor's degree in life sciences, computer science, data science, bioinformatics, or a related field.

• You have 2-4 years of experience in clinical data, visualization, or analytics; or an advanced degree with 0-2 years of equivalent work experience.
  You are familiar with visualization tools such as Spotfire, Tableau, or similar platforms.

• You have a basic understanding of clinical trial data and common data structures (e.g., CRF data).

• You demonstrate strong attention to detail, logical thinking, and an eagerness to learn visualization standards and clinical workflows.

• You show respect for cultural differences when interacting with colleagues in the global workplace.

• You communicate effectively in English, both in writing and verbally.

Preferred Qualifications

• Exposure to clinical or safety data structures and terminology (e.g., adverse events, lab results, dosing).

• Familiarity with Risk-Based Quality Management (RBQM) concepts and their role in early development.

• Interest in visual storytelling and user experience in data interpretation.

• Experience with interactive tools such as Spotfire, Tableau, Power BI, or R/Shiny (academic or project-based acceptable)

• Ability to follow visual design templates and apply style consistency.

• Curiosity and willingness to learn visualization standards and workflows in a regulated environment.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of California is $97,900.00 and $160,000.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

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Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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