Job Opportunities API

Bei Bristol Myers Squibb lassen wir uns von einer einzigen Vision inspirieren - die Veränderung des Lebens von Patienten durch Wissenschaft. In den Bereichen Onkologie, Hämatologie, Immunologie und Herz-Kreislauf-Erkrankungen - und eine der vielfältigsten und vielversprechendsten Pipelines der Branche - trägt jeder unserer leidenschaftlichen Kollegen zu Innovationen bei, die bedeutende Veränderungen vorantreiben. Wir verleihen jeder Therapie, für die wir Pionierarbeit leisten, eine menschliche Note. Kommen Sie zu Bristol Myers Squibb  und machen Sie einen Unterschied. Roles & Responsibilities Analytics Delivery & AI Enablement • Hands-on build:  Develop, prototype, and code analytical models, datasets, and automation workflows—translating business questions into analytical approaches, executing analyses, and synthesizing findings into actionable recommendations. • Platform contribution:  Contribute reusable components (dashboards, always-on insights, scenario/measurement pipelines) to team self-service analytics hubs such as the Agentic MMx / Always-On Insights (AOI) platform, maximizing reuse and reducing manual effort. Agile Delivery & Project Management • Sprint-based delivery:  Work within an agile, sprint-based development cycle—participating in sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives—to deliver analytical and AI product features iteratively and predictably. • Story ownership:  Break down requirements into well-defined user stories, tasks, and acceptance criteria; provide effort estimates and track progress using collaboration and backlog tools (e.g., Jira, Azure DevOps). • Delivery coordination:  Manage the end-to-end delivery of assigned workstreams—tracking timelines, dependencies, risks, and blockers, and proactively communicating status to the Manager/Team Lead and stakeholders. • Release readiness:  Support release planning and deployment activities, ensuring features are demo-ready, documented, and aligned to the definition of done. Quality Assurance, Testing & UAT • Quality ownership:  Take strong ownership of quality across the analytics and AI product lifecycle—embedding validation, peer code reviews, and best-practice standards into everyday delivery. • Testing:  Design and execute test plans, test cases, and validation checks (data quality, logic, model output, and reconciliation), including unit, integration, and regression testing of analytical assets and pipelines. • UAT:  Plan, coordinate, and support User Acceptance Testing with business stakeholders—preparing UAT scripts and test data, triaging and resolving defects, capturing sign-offs, and ensuring solutions meet business requirements before go-live. • Documentation & traceability:  Maintain clear documentation, defect logs, and traceability from requirements through testing to release, ensuring reproducibility and auditability Agentic & AI Capability Development • Support the design, development, and testing of autonomous and semi-autonomous analytics agents using multi-agent frameworks, helping progress from descriptive analytics to causal analysis, root-cause insights, and predictive recommendations. • Contribute to the AI product lifecycle—proof-of-concept, pilot, and rollout—while following governance standards for safety, security, ethics, and privacy. • Apply and help operationalize LLMs for commercial use cases such as knowledge retrieval, summarization, generative analytics, and automation of insight generation. Stakeholder Partnership & Strategic Support • Partner closely with US Commercial stakeholders, Global Analytics, OCx, Marketing, and BI&T to understand business needs and contribute to solution design. • Act as a trusted analytical partner—clearly explaining insights, assumptions, and limitations, and supporting decision-making discussions. • Support prioritization of business requests by providing effort estimates, impact assessments, and analytical recommendations. • Contribute to stakeholder presentations, readouts, and working sessions with clear, structured storytelling. Technical Execution, Governance & Data Stewardship • Build and maintain analytical assets including datasets, models, dashboards, and automation workflows. • Work closely with BI&T and data engineering teams to troubleshoot data issues and ensure reliable, timely, and scalable data availability. • Ensure analytical outputs are reproducible, well-documented, explainable, and aligned with data/AI governance and compliance standards—applying privacy-by-design and human-in-the-loop practices where required. Required Qualifications Education & Experience • BA/BS required; advanced degree preferred, especially in life sciences, computer science, mathematics, statistics, data science, or engineering. • 3+ years of professional experience in advanced analytics, decision science, or AI-driven roles. • Proven experience delivering end-to-end analytics projects, from problem framing to insight delivery. • Demonstrated ability to partner with business stakeholders and support data-driven decision-making. • Experience in pharmaceutical, biotech, or healthcare industries preferred; familiarity with pharmaceutical data (claims, APLD, specialty pharmacy, digital signals, promotional data) is a plus. • Understanding of how data, analytics, and AI can be applied to solve commercial business problems. Core Competencies • Strong written and verbal communication skills, with the ability to translate complex analytics into clear business insights. • Solid project execution and organizational skills, with the ability to manage multiple analyses in parallel. • Strong analytical thinking and problem-solving skills, with attention to detail and data quality. • Hands-on expertise in applied statistics, analytics, and AI/ML techniques. • Collaborative mindset with the ability to work effectively in a matrixed, stakeholder-driven environment. • Curiosity and passion for learning, innovation, and continuous improvement in analytics. Technical Skills (Preferred) • Predictive and statistical analytics using Python and/or R; exposure to AI/ML and text analytics (e.g., NLP, clustering, propensity models, uplift modeling) and to LLMs. • Exposure to causal inference and incrementality methods (geo-experiments, matched markets, uplift modeling); awareness of MMx/adstock/response-curve concepts is a plus. • Data visualization and dashboarding tools (e.g., R Shiny, Dash, or similar platforms). • Experience working in collaborative analytics environments (e.g., Databricks, SharePoint, Git-based workflows); familiarity with cloud analytics platforms (Snowflake, Spark) is a plus. • Familiarity with omnichannel, digital marketing, and commercial data sources, including CRM (e.g., Veeva) and multi-touch attribution (MTA). • Awareness of AI governance and regulatory standards (model monitoring, privacy, human-in-the-loop; HIPAA, GDPR/CCPA) in regulated environments. Wir setzen uns auf der ganzen Welt leidenschaftlich dafür ein, das Leben von Patienten mit schweren Krankheiten zu beeinflussen. Unsere gemeinsamen Werte Leidenschaft, Innovation, Dringlichkeit, Verantwortlichkeit, Inklusion und Integrität befähigen uns, unsere individuellen Talente und unterschiedlichen Perspektiven in einer integrativen Kultur einzusetzen und bringen das höchste Potenzial jedes unserer Kollegen hervor. Bristol Myers Squibb weiß um die Bedeutung von Balance und Flexibilität im Arbeitsumfeld. Wir bieten daher eine Vielzahl von attraktiven Benefits, Dienstleistungen und Programmen an, die unseren Mitarbeitern die Ressourcen bieten, ihre Ziele sowohl bei der Arbeit als auch in ihrem Privatleben zu verfolgen. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [email protected] . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1604374 : Senior Analyst, US Commercialization Decision Intelligence & KDA Solutions