Data Products Specialist

Genentech-posted 3 months ago
$97,900 - $181,700/Yr
Full-time • Entry Level
South San Francisco, CA
Chemical Manufacturing
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This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.

  • Collaborate with engineering, governance, and domain teams to define data product specifications and design data pipelines.
  • Ensure product usability and compliance.
  • Translate scientific and operational needs into structured, scalable data products.
  • Support the development and maintenance of curated datasets and data marts used for clinical and operational insights.
  • Assist with data ingestion, cleaning, and standardization processes under the guidance of senior colleagues.
  • Participate in implementing and testing transformations to ensure data consistency, traceability, and alignment with business rules.
  • Document data sources, assumptions, and transformations to promote transparency and reuse.
  • Build relationships with business stakeholders and end-users to advocate for data products.
  • Contribute to troubleshooting data quality issues and collaborate with engineering or product partners to resolve blockers.
  • Contribute to KPIs and usage metrics tracking for continuous improvement.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Bioinformatics, or a related technical discipline.
  • Minimum of 2-4 years of experience working with structured data in support of analytics or reporting use cases, or an advanced degree with 0-2 years of equivalent work experience.
  • Working knowledge of SQL or Python and familiarity with data versioning or ETL tools.
  • Ability to learn quickly in a cross-functional environment and contribute to multiple projects in parallel.
  • Demonstrate capacity for independent thinking and ability to make decisions based upon sound principles.
  • Excellent strategic agility including problem-solving and critical thinking skills.
  • Respect for cultural differences when interacting with colleagues in the global workplace.
  • Excellent verbal and written communication skills, specifically in the areas of presentation and writing.
  • Experience in biomedical data use cases and familiarity with basic data modeling concepts.
  • Exposure to cloud-based tools or version control systems (e.g., Git, Airflow, S3).
  • Strong communication and documentation skills, including the ability to clearly explain datasets to end users.
  • Ability to work within Agile frameworks, including SAFe, to drive iterative development, cross-functional collaboration, and efficient backlog management.
  • Experience applying product management principles to data assets with observed contributions to data product design and implementation across organizational silos.
  • Discretionary annual bonus based on individual and Company performance.
  • Comprehensive benefits package as detailed in the provided link.
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