Summer Internship: Data Insights AI Summer Intern

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

Internship Program Dates

June 8 - August 21, 2026

Education Required

Education: Master’s or PhD preferred in Statistics, Mathematics, Computer Science, Data Science, Bioinformatics, Industrial Engineering, or a related field.

Position Overview

The Data Insights (DI) team is seeking a highly motivated Summer Intern to work on real, high-impact business initiatives spanning data insights, digital product/platform development, and applied AI delivery. You will partner closely with Product, Data Engineering, and Statistics teams - translating business problems into analytical approaches, evaluating solution options, and supporting delivery with reusable analytics assets to enable sustained iteration and scale. This role offers a unique opportunity to apply cutting-edge AI to real-world challenges in biotechnology and pharmaceuticals - helping accelerate drug development and improve patient outcomes.

Data Insights & Analytics Delivery

• Translate business questions into clear analytical approaches; perform data extraction, cleaning, EDA, and synthesis of actionable insights.
• Conduct core analyses such as trend/cohort segmentation, benchmarking, anomaly detection, and data quality validation.
• Deliver structured outputs (key findings, supporting evidence, recommendations, and risks) and present in reviews/stakeholder discussions.

AI & Digital Product / Platform Development

• Support end-to-end work on AI, data products, and digital platforms: requirements shaping, solution research, rapid prototyping/POCs, AI-evals, and impact measurements.
• Help embed LLM capabilities into workflows - e.g., automated meeting notes and action items, text-to-structure extraction, knowledge retrieval (RAG) - assisted analysis, and report generation.
• Contribute to scalable evaluation frameworks (metrics, test sets, acceptance criteria) to enable reuse and broader adoption.

Cross-Functional Collaboration & Execution

• Partner with Data Engineering, Statistics, Medical, and Clinical teams to track data readiness, ensure definition alignment, and maintain delivery timelines.
• Maintain project artifacts (task lists, decisions, dependencies) to improve traceability, clarity, and execution velocity.

Qualifications

• Programming: Proficiency in Python or R for data wrangling and analysis (e.g., pandas/tidyverse, visualization, basic statistical analysis). Ability to read, understand, and improve existing code is a plus.
• Data & SQL: Solid SQL fundamentals (joins, aggregations). Bonus for window functions, query performance awareness, and working with large datasets.
• Analytical Thinking: Strong problem-structuring skills—able to translate ambiguous business questions into a hypothesis analysis insights recommendations narrative. High bar for data quality, rigor, and interpretability.
• Communication & Ownership: Clear, concise written communication with the ability to produce business-ready deliverables.

Nice-to-Haves (AI / Digital Delivery Experience)

• Hands-on experience using LLMs/AI tools (e.g., ChatGPT, Copilot, Claude) for requirements clarification, problem decomposition, drafting/refining SQL and analysis code, and automating summaries/documentation. Demonstrates strong prompt iteration, result evaluation, and traceable outputs.
• Familiarity with or practical exposure to one or more of: RAG/knowledge retrieval, text extraction and classification, automated report generation, agent/workflow orchestration, or offline evaluation methods.
• Experience with enterprise data platforms: Databricks preferred; familiarity with Spark and efficient EDA on large-scale datasets.
• Applied experience in professional statistical environments: RStudio Workbench (Posit) or similar, with exposure to collaborative server/cloud development (version control and job scheduling).

Compensation

Pay Rate: Masters $30.00/Hour, Ph.D: $35.00/Hour

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity, and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

• Fosters Teamwork
• Provides and Solicits Honest and Actionable Feedback
• Self-Awareness
• Acts Inclusively
• Demonstrates Initiative
• Entrepreneurial Mindset
• Continuous Learning
• Embraces Change
• Results-Oriented
• Analytical Thinking/Data Analysis
• Financial Excellence
• Communicates with Clarity

Salary Range: $ - $ per hour

BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. More specific salary range information will be shared during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and may participate in the Employee Stock Purchase Plan. The company also offers a comprehensive benefits package including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness programs.

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Reasonable accommodations for individuals protected by applicable laws can be requested during the application process.