Solid sql fundamentals including joins and aggregations
Strong problem-structuring and analytical thinking skills
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BeOne Medicines is seeking a highly motivated Summer Intern for their Data Insights team in Cambridge, UK, to engage in data analysis and AI-related initiatives aimed at enhancing drug development and patient outcomes. The ideal candidate should be pursuing a Master’s or PhD in a relevant field, possess strong programming skills, and demonstrate a collaborative spirit aligned with the company's mission to fight cancer.
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Job Summary
This internship offers a unique opportunity to apply cutting-edge AI to real-world challenges in biotechnology and pharmaceuticals.
The role involves partnering closely with Product, Data Engineering, and Statistics teams to translate business problems into analytical approaches.
Candidates will receive competitive hourly compensation ranging from $30.00 to $35.00 based on their degree level.
Matching Summary
Match Score: 75
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BeOne Medicines is seeking a highly motivated Summer Intern for their Data Insights team in Cambridge, UK, to engage in data analysis and AI-related initiatives aimed at enhancing drug development and patient outcomes. The ideal candidate should be pursuing a Master’s or PhD in a relevant field, possess strong programming skills, and demonstrate a collaborative spirit aligned with the company's mission to fight cancer.
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Salary
Base: Masters $30.00/Hour, Ph.D $35.00/Hour; Bonus/Equity: Eligible for annual bonus plan and discretionary equity awards; Benefits: Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness programs
Skills & Requirements
Must-have
Proficiency in Python or R for data analysis
Solid SQL fundamentals including joins and aggregations
Strong problem-structuring and analytical thinking skills
Nice-to-have
Hands-on experience using LLMs and AI tools
Familiarity with Databricks and Spark platforms
Experience with RAG and knowledge retrieval systems
Key Requirements
Master's or PhD preferred in Statistics, Mathematics, Computer Science, Data Science, Bioinformatics, or Industrial Engineering