Intern

This internship 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.

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

The goal will be to develop novel tools and analytic frameworks to be used by Data Strategy and Analytics specialists as well as Real-World Data Scientists. The use of advanced analytics and AI-powered applications with a “human-in-the-loop” is central to our vision of accelerating the translation of data into actionable evidence.

Responsibilities:

• Develop data innovation strategies by partnering with subject matter experts and stakeholders.
• Build workflows capable of automating complex tasks. For instance, this may involve creating LangChain agents to extract structured data from an AACT API.
• Design a validation study to evaluate the accuracy of data innovation tools.
• Prototype an interface to allow scientists to interact with the data innovation tools.

Program Highlights:

• 6 months paid internship, first 12 weeks must be full time (40 hours/week) onsite, while the rest can be either full time or part time, remote or onsite, with the opportunity to extend to up to 9 months.
• Program start date is 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):

Required Education:

• Must have attained a Master's Degree within the last year.
• Must be pursuing a PhD (enrolled student).
• Must have attained a PhD within the last year.

Required Majors: Statistics, Biostatistics, Computer Science, Data Science, Mathematics or related fields.

Preferred Knowledge, Skills, and Qualifications:

• Excellent communication, collaboration, and interpersonal skills.
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
• Training in computer science, machine learning, data science, or statistics.
• Industry knowledge: curiosity for drug development in the biotechnology industry and solid background in statistics for clinical trial design.
• Python proficiency: strong experience with python development.
• R proficiency: familiarity with R.
• LLM fundamentals: demonstrated experience building applications with LLMs.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $50.00 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.