DSX Insights Generation Specialist

Genentech • Daly City, CA

6d

About The Position

The DSX Insights Generation Specialist within the Analytical Data Science function of Roche Product Development Data Science (PDD) team serves as a Center of Excellence within the Analytical Data Science organization, focused on developing and enabling tools that drive data-driven decision-making across clinical programs. This group designs, tests, and promotes scalable analytics solutions such as dashboards, visualization packages, and reusable code modules that empower clinical and cross-functional teams to generate exploratory insights from complex datasets.

While not directly responsible for operational programming delivery, the team collaborates closely with therapeutic area (TA) leads and study programmers to identify common challenges and embed insights-enabling capabilities into existing workflows. By bridging advanced programming techniques with user-centric design, the Insights Generator team helps elevate the organization’s analytics maturity and accelerates its ability to surface meaningful patterns and trends from clinical data.
You support the development, testing, and demonstration of standardized tools and code packages that enable exploratory data analyses and insights generation.
You leverage existing analytic libraries (e.g., R, Python, SAS macros) to build reusable components or visualizations under guidance from more senior colleagues.
You partner with study and portfolio programming teams to understand common insight needs and help refine DSX offerings to meet those needs.
You document tool functionality and provide basic user guidance for adoption across the programming community.
You participate in internal knowledge-sharing sessions to expand familiarity with modern analytics platforms and emerging programming approaches.
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 programming expertise.

Requirements

• You hold a Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.
• You have 2-4 years of experience in statistical programming, or an advanced degree with 0-2 years of equivalent work experience.
• You have basic knowledge of a modern programming language (such as SAS or R) and visualization/review tools.
• You have a basic understanding of statistical quality, endpoints, and QC processes.
• You demonstrate strong logical thinking and attention to data integrity.
• You bring effective communication and collaboration skills.
• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.
• You are fluent in English.

Nice To Haves

• Expertise in handling and analyzing different types of data (multi-modal) to identify and implement programming/analytical strategy.
• Familiarity with CDISC standards (SDTM, ADaM).
• Demonstrated interest and critical thinking in data quality, reproducibility, and continuous learning.
• Ability to follow technical documentation and contribute to team processes.
• Experience working in cross-functional global study teams.
• Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences.
• Experience with multiple phases of drug development (early and/or late stage).
• Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders.

Responsibilities

• support the development, testing, and demonstration of standardized tools and code packages that enable exploratory data analyses and insights generation
• leverage existing analytic libraries (e.g., R, Python, SAS macros) to build reusable components or visualizations under guidance from more senior colleagues
• partner with study and portfolio programming teams to understand common insight needs and help refine DSX offerings to meet those needs
• document tool functionality and provide basic user guidance for adoption across the programming community
• participate in internal knowledge-sharing sessions to expand familiarity with modern analytics platforms and emerging programming approaches
• work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding
• 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
• adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and programming expertise

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level