About The Position

The Product Development Global Clinical Operations (PDG) department is accountable for developing and delivering patient-centered operational strategies to recruit and retain patients for Roche and Genentech Phase 1b through Phase IV clinical trials, delivering data that improves health outcomes around the world. The Analytics and Portfolio Optimization (APO) team resides within PDG and collaborates across the enterprise to deliver valuable, data-driven insights and develop enabling analytics to optimize study delivery. This internship position is located in South San Francisco, on-site. The Opportunity Collaborate within cross-functional teams to develop analytical solutions, gain alignment and deliver impactful business insights; engage stakeholders to enable better decision-making. Develop tools and methodologies for automating data processing, cleaning, and delivering analyses and business solutions to PDG. Explore various Large Language Models (LLMs) and orchestrations to develop autonomous solutions that augment clinical operations. Participate in a product team and support product innovation, development, and adoption. Program Highlights 12 months, full-time (40 hours per week) paid internship. Program start dates are in May/June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the Internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry.

Requirements

  • Must be pursuing a Bachelor's Degree (enrolled student).
  • Must have attained a Bachelor's Degree.
  • Must be pursuing a Master's Degree (enrolled student).
  • Must have attained a Master's Degree.
  • Required Majors: Life Sciences (e.g, Biology, Molecular Biology) or Quantitative Field (e.g., Data Science, Statistics, Computer Science, Bioengineering).
  • Analytical mindset and good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies.
  • Experience with database querying and data analysis using SQL and Python.
  • Proficiency in standard analysis, collaboration, and presentation software (Microsoft Office Suite or Google Suite, etc).
  • Demonstrated self-starter who proactively seeks out stakeholder input and conducts user interviews to ensure analytical solutions solve the right business problems.

Nice To Haves

  • Excellent communication, collaboration, and interpersonal skills.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
  • Passionate about business and scientific intelligence.
  • Ability to work both independently and as part of a team.
  • Experience with predictive modeling, simulation, forecasting, and large language models.
  • Understanding of clinical research and drug development.
  • Familiarity with business intelligence tools (Tableau, Streamlit).

Responsibilities

  • Collaborate within cross-functional teams to develop analytical solutions, gain alignment and deliver impactful business insights
  • Engage stakeholders to enable better decision-making
  • Develop tools and methodologies for automating data processing, cleaning, and delivering analyses and business solutions to PDG
  • Explore various Large Language Models (LLMs) and orchestrations to develop autonomous solutions that augment clinical operations
  • Participate in a product team and support product innovation, development, and adoption

Benefits

  • paid holiday time off benefits
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