• You'll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D
• This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML
• You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans
• This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline
• Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data
• Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community
• Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists
• Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains
• Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets

Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings

• The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders
• You are a leading strategic and tactical contributor and creative problem solver
• 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry
• Foundational knowledge and experience in machine learning, and AI
• Experience with NLP, LLM, Generative models important
• Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools)
• Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration
• Proven record leading technology initiatives with multi-disciplinary and remote partners
• Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning

Must have the capacity to translate discussions into user requirements and project plans

• Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

$164,000.00 - $282,900.00

• Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k))
• This position is eligible to participate in the Company's long-term incentive program
• Vacation -120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
• Holiday pay, including Floating Holidays -13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave - 80 hours in a 52-week rolling period10 days
• Volunteer Leave - 32 hours per calendar year

Military Spouse Time-Off - 80 hours per calendar year