Senior Data Scientist

BeOne Medicines USA; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

BeOne Medicines USA is seeking a Senior Data Scientist to transform enterprise data into AI-powered decision intelligence across Clinical Development and Operations. You will design, develop, and deploy scalable analytics products working with business stakeholders, data engineers, software engineers, and clinical experts to solve complex challenges and drive measurable outcomes.

Success will be measured by product adoption, business impact, and AI-enabled productivity gains, with a strong

Qualifications

• 2+ years of experience in Data Science, Advanced Analytics, Business Intelligence, Product Analytics, Machine Learning, or related analytical field.
• Strong proficiency in Python and SQL, with hands-on experience analyzing complex datasets and developing analytical solutions.

Responsibilities

• Turn complex business and clinical challenges into actionable insights and AI-enabled decision solutions that improve business performance and support better patient outcomes.
• Design, develop, and enhance analytical products by combining trusted data, advanced analytics, business context, and AI capabilities.
• Apply statistical analysis, predictive modeling, trend analysis, segmentation, and root cause analysis to uncover opportunities, identify risks, and support better decisions.
• Translate analytical findings into clear recommendations and compelling data stories that help stakeholders take action.
• Explore and apply emerging AI technologies, including large language models (LLMs), AI agents, conversational analytics, and workflow automation, to solve real-world business problems.
• Build and experiment with AI-powered analytical experiences, such as conversational BI, automated insights and narratives, intelligent recommendations, and proactive alerts.

Skills

Python

SQL

Job description

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.

General Description

The Data Insights (DI) team is seeking a highly motivated Senior Data Scientist to transform trusted enterprise data into AI-enabled decision intelligence that drives faster, smarter, and more effective decisions across Clinical Development and Operations.

Going beyond traditional data science and business intelligence, this role combines advanced analytics, AI, domain expertise, and product thinking to design, develop, and continuously improve scalable decision products, intelligent automation, and AI-powered analytical solutions.

As a hands-on contributor, you will partner with business stakeholders, product managers, data engineers, software engineers, AI scientists, statisticians, and clinical experts to solve complex business challenges, identify high-value opportunities, and translate insights into actionable decisions and measurable outcomes.

Success will be measured not only by analytical excellence, but also by product adoption, business impact, AI-enabled productivity gains, and the ability to turn data into meaningful decisions.

This role offers an opportunity to apply emerging AI technologies to real-world challenges in biotechnology and pharmaceuticals - helping accelerate drug development and ultimately improve patient outcomes.

Major Responsibilities

Decision Intelligence & Advanced Analytics

• Turn complex business and clinical challenges into actionable insights and AI-enabled decision solutions that improve business performance and support better patient outcomes.
• Design, develop, and enhance analytical products by combining trusted data, advanced analytics, business context, and AI capabilities.
• Apply statistical analysis, predictive modeling, trend analysis, segmentation, and root cause analysis to uncover opportunities, identify risks, and support better decisions.
• Translate analytical findings into clear recommendations and compelling data stories that help stakeholders take action.

AI-Enabled Analytics & Intelligent Automation

• Explore and apply emerging AI technologies, including large language models (LLMs), AI agents, conversational analytics, and workflow automation, to solve real-world business problems.
• Build and experiment with AI-powered analytical experiences, such as conversational BI, automated insights and narratives, intelligent recommendations, and proactive alerts.
• Identify opportunities to simplify repetitive analytical tasks and develop AI-enabled workflows that improve efficiency, scalability, and user experience.

Decision Products & Business Impact

• Contribute to the end-to-end development of decision intelligence products, from understanding user needs and defining requirements to building, launching, and continuously improving solutions.
• Partner with business stakeholders and product managers to identify high-value opportunities and prioritize solutions that deliver meaningful business impact.
• Define and track key performance indicators (KPIs), product adoption, and business outcomes to understand what works and guide continuous improvement.
• Develop reusable analytical tools, frameworks, and capabilities that can be applied across business functions.

AI Quality, Evaluation & Responsible AI

• Evaluate the accuracy, reliability, and business usefulness of AI-enabled analytical solutions using practical testing, evaluation metrics, and user feedback.
• Support the development of AI evaluation approaches, including benchmark datasets, human-in-the-loop (HITL) reviews, and ongoing performance monitoring.
• Apply responsible AI principles and appropriate data quality, privacy, and compliance practices when developing solutions in a regulated environment.

Collaboration, Innovation & Continuous Learning

• Work closely with colleagues across Clinical Development, Statistics, Scientific Programming, Medical, Data Engineering, Product Management, and AI Engineering to solve meaningful business challenges.
• Communicate complex analytical concepts and AI capabilities in clear, practical terms to technical and non-technical audiences.
• Stay curious and experiment with new analytical methods, AI tools, and technologies, bringing promising ideas into practical applications.
• Share knowledge, contribute to technical best practices, and mentor colleagues through collaboration and hands-on problem-solving.

Qualifications

• Experience: 2+ years of experience in Data Science, Advanced Analytics, Business Intelligence, Product Analytics, Machine Learning, or a related analytical field.
• Technical Skills: Strong proficiency in Python and SQL, with hands-on experience analyzing complex datasets, developing analytical solutions, a