Note: The job is a remote job and is open to candidates in USA. BeOne is seeking a Senior Data Scientist to turn enterprise data into AI-enabled decision intelligence for Clinical Development and Operations. The role develops and improves analytical products, intelligent automation, and AI-powered solutions, partnering with cross-functional teams to deliver measurable business impact and support better patient outcomes.
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
- Identify opportunities to simplify repetitive analytical tasks and develop AI-enabled workflows that improve efficiency, scalability, and user experience
- 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
- 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
- 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
Skills
- · 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, and building reusable code or tools
- · Analytical Problem-Solving: Strong analytical thinking and problem-structuring skills, with the ability to translate ambiguous business questions into structured analyses, meaningful insights, and actionable recommendations
- · Business Analytics: Experience defining and analyzing KPIs, developing performance metrics, identifying trends, and using data to support business decisions
- · Communication & Collaboration: Ability to communicate complex analytical findings clearly to technical and non-technical audiences and collaborate effectively with cross-functional stakeholders
- · Ownership & Learning Mindset: A proactive, hands-on approach to problem-solving, with curiosity, adaptability, and enthusiasm for learning and applying emerging AI technologies
- Master's or PhD preferred in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Life Sciences, or a related quantitative field, or equivalent practical experience
- · Generative AI & Intelligent Automation: Experience or hands-on exposure to LLMs, prompt engineering, AI agents, retrieval-augmented generation (RAG), conversational AI, or AI-enabled analytical workflows
- · AI-Native Development: Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or similar tools to accelerate coding, experimentation, and analytical solution development
- · AI-Enabled Analytics: Exposure to Databricks AI/BI Genie or similar conversational analytics and natural-language data exploration platforms
- · AI Product Development: Experience prototyping, developing, or improving AI-enabled analytical applications, decision-support tools, or intelligent automation solutions
- · AI Quality & Evaluation: Familiarity with AI evaluation methods, human-in-the-loop (HITL) workflows, model monitoring, or responsible AI practices
- · Modern Data Platforms: Experience with Databricks, Spark, cloud data platforms, or large-scale data processing and exploratory data analysis
- · Statistical & Development Tools: Experience with R, Posit/RStudio Workbench, Git, collaborative development environments, or automated analytical workflows
- · Life Sciences Domain: Experience in biotechnology, pharmaceuticals, clinical development, healthcare analytics, or other regulated industries is a plus
Benefits
- Non-Commercial roles are eligible to participate in the annual bonus plan
- 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
- All employees may voluntarily participate in the Employee Stock Purchase Plan
- Medical
- Dental
- Vision
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness
Company Overview