Data Analytics and Visualization Intern, Genentech

Data Analytics and Visualization Intern, Genentech

Company Genentech
Job title 2025 Summer Intern – Data Analytics and Visualization (Early Clinical Development)
Job location South San Francisco, California, United States of America
Type Full Time

Responsibilities:

  • Analyze clinical trials and real-world data to generate actionable insights and improve decision-making.
  • Design, develop, and implement analytical workflows and visualizations using tools such as R, Python, SAS, and Spotfire.
  • Contribute to data quality improvement initiatives and advanced data science efforts, including statistical analysis and advanced data analytics.
  • Develop and implement advanced text preprocessing techniques and apply string similarity algorithms and fuzzy matching techniques to standardize and reconcile inconsistent text data.
  • Manage and query large datasets using database management systems, such as SQL.
  • Participate in team brainstorming sessions to identify opportunities for improving data analytics and visualization capabilities.

Requirements & Skills:

  • Must be pursuing a Master’s degree.
  • Must have attained a Master’s degree.
  • Must be pursuing a PhD.
  • Must have attained a PhD.
  • Proficiency in programming languages such as R, Python, SAS, and SQL.
  • Familiarity with data visualization tools (e.g., Spotfire, ggplot2, Matplotlib, Plotly).
  • Knowledge of natural language processing techniques and libraries.
  • Database management skills for handling and querying large datasets.
  • Strong analytical and problem-solving capabilities
  • Ability to work both independently and collaboratively in a team environment.
  • Excellent communication, collaboration, and interpersonal skills.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
  • Understanding of early-phase clinical trial data and operational workflows.
  • Experience with advanced statistical methods and calculations.
  • Familiarity with address parsing and geospatial tools (e.g., geopy, usaddress) for location standardization.
  • Knowledge of Git or other version control systems.

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