Lantheus

HQ
Bedford
Total Offices: 5
1,252 Total Employees
Year Founded: 1956

Jobs at Lantheus

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Recently posted jobs

Biotech • Pharmaceutical
Supports and improves order-to-cash systems and processes, including platform administration, SAP OTC functionality, integrations, issue resolution, process analysis, and system enhancements. Partners with Finance, Supply Chain, Commercial, IT, and vendors to maintain system stability, improve efficiency, support launches, train users, and drive continuous improvement. Uses operational data, dashboards, process mapping, and project management practices to resolve root causes and deliver cross-functional initiatives.
Biotech • Pharmaceutical
Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.
Biotech • Pharmaceutical
Leads enterprise strategy, architecture, delivery, governance, and operations across data, analytics, information management, automation, AI, and GenAI. Drives transformation toward governed data foundations, reusable data products, data marketplaces, self-service analytics, and responsible AI. Oversees platforms, pipelines, dashboards, automation initiatives, budgets, vendors, and senior technical teams while partnering with business, Legal, Compliance, Quality, and Security. Builds training, adoption, stewardship, and change-management programs across a global life sciences organization.
Biotech • Pharmaceutical
Leads enterprise integration and data readiness architecture, implementation, governance, and enablement. Designs data lakes, warehouses, lakehouses, data products, marketplaces, semantic layers, and AI-ready data assets using platforms including Informatica, Databricks, Snowflake, and SAP. Drives data quality, lineage, security, privacy, MDM, self-service analytics, reporting, natural-language querying, training, and organizational adoption. Provides hands-on technical leadership, delivery oversight, prioritization, mentoring, technology evaluation, and value realization across business functions.