2026 Summer Intern - Clinical Insights and Automation (Early Clinical Development)

2026 Summer Intern - Clinical Insights and Automation (Early Clinical Development)

Department Summary

The mission of the Clinical Insights and Automation(CI&A) team in the Early Clinical Development (ECD) department at Genentech is to optimize the support of clinical systems to provide high-quality clinical trial data insights and to offer data science-related consultation to the study teams. We leverage cutting-edge data science and operation data management to facilitate the study of start-up planning. We develop advanced analytical data visualization and conduct predictive analysis to increase the efficiency of clinical data review and clinical operations with the ultimate goal of driving data-driven decision-making throughout the study lifecycle.

This internship position is located in South San Francisco, on-site.

The Opportunity

We are seeking a Data Analytics Summer Intern to support ongoing initiatives in data transformation, analytics automation, and AI tooling. This role provides hands-on experience working with real-world clinical data, modern data platforms, and AI-enabled analytics applications.

The intern will collaborate closely with data analytics leaders, software engineers, and product stakeholders to improve data pipelines, enhance AI chatbot performance, and develop dashboards and visualizations that support decision-making.

Key Responsibilities

• Analyze clinical trial 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 review improvement initiatives and advanced data science efforts, including medical data review checks and advanced data analytics.

• Assist in improving data mapping and pipeline design for analytics and work with structured datasets in cloud data platforms (e.g., Snowflake).

• Participate in team brainstorming sessions to identify opportunities for improving data analytics and visualization capabilities.

Program Highlights

• Intensive 12-weeks, 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.

Who You Are

Required Education
You meet one of the following criteria:

• Must have attained a Bachelor's degree (recent graduates not currently enrolled in a grad program).

• Must be pursuing a Master's degree.

• Must have attained a Master's degree.

• Must be pursuing a PhD.

Required Majors: Data Science, Computer Science, Statistics, Bioinformatics, or a related field.

Required Skills

• Proficiency in programming languages such as R, Python, SAS, and SQL.

• Familiarity with data visualization tools (e.g., Spotfire, ggplot2, Matplotlib, Plotly or similar).

• Hands-on experience with clinical data.

• Strong analytical and problem-solving skills.

• Ability to work independently and collaborate within a multidisciplinary team.

Preferred Knowledge, Skills, and Qualifications

• Understanding of early-phase clinical trial data and operational workflows.

• Experience with or exposure to Snowflake.

• Familiarity with LLMs (Large Language Models) or AI/ML concepts.

• Knowledge of Git or other version control systems.

• Excellent communication and documentation skills.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $45.00 - $50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

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.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.