Senior Scientist, Clinical Analytics, Data Insights

BeOne Medicines USA is a company focused on fighting cancer through innovative solutions. They are seeking a Senior Scientist to contribute to clinical operation data analytics initiatives by delivering advanced analytics and insights that drive strategic decision-making and operational efficiencies across their portfolio.

Responsibilities:

• Implement analytical insight strategy aligned with business stakeholders across the portfolio
• Deliver in-depth analyses and predictive modeling that provide critical insights to management and leadership teams
• Utilize advanced analytics, machine learning, and artificial intelligence techniques to identify trends, patterns, and opportunities within complex datasets, directly applying these capabilities to address business challenges
• Ensure the accuracy, integrity, and security of data to meet compliance standards and regulatory requirements
• Effectively translate business and cross-functional questions into well-structure analyses with actionable recommendations
• Gain a profound understanding of business processes and exhibit strong business acumen to deliver actionable analytics
• Collaborate with product managers and business functions to define KPIs, OKRs, metrics that measure trial execution success (e.g., cycle time, site activation, enrollment trends, deviation rates, site financials), develop and implement role-based dashboards or analytical tools to track business operations, performance and suggest data-driven next best actions
• Hands-on experience in implementation and operationalizing AI/ML solutions in business context, technically proficient in various algorithms and models
• Identify and improve processes continuously, explore the opportunities of doing things differently and smartly

Requirements:

• Master's or PhD in Data Science, Statistics, Computer Science, Life Sciences, or a related field
• 1+ years of experience in data analytics, insights, or related fields
• Familiar with clinical systems, e.g., EDC, CTMS, IRT and other systems
• Strong proficiency in data analysis tools, visualization tools and programming languages, such as Python, R, SQL, or similar
• Experience with data visualization tools (e.g., PowerBI, Spotfire) and familiarity with cloud platforms
• Hands-on experience with AI/ML to develop algorithms in business context. Familiarity with Agentic AI is a plus
• Strong capability of prioritizing and handling multitasks, executing quickly
• Be able to work under pressure
• Exceptional analytical, problem-solving, and critical-thinking skills
• Self-motivator, hands-on, disciplined and proactive person with great team-work spirit and strong accountability