Lead AI Engineer, Biomedical & Vigilance Innovation

Lead AI Engineer, Biomedical & Vigilance Innovation

United Therapeutics (Nasdaq: UTHR) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We are working to create manufactured organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option.

We are seeking a Lead AI Engineer, Biomedical & Vigilance Innovation with a start-up mindset to drive the design, development, and deployment of advanced AI solutions that transform how biomedical insights are generated and how safety signals are detected, assessed, and acted upon, as well as deploying artificial intelligence solutions that strengthen biomedical research, patient safety, and next-generation vigilance capabilities. This role operates at the intersection of data science, software engineering, and medical safety, applying advanced analytics, machine learning, and automation signal detection, case intelligence, business efficiency, and evidence generation from various sources of scientific and RWD.

This role is instrumental in shaping the future state of digital vigilance and precision medicine. Design, build, validate, and maintain machine learning, natural language processing, and generative AI solutions for biomedical and pharmacovigilance use cases Develop tools that support adverse event intake, case triage, coding assistance, duplicate detection, signal prioritization, and trend analysis Engineer predictive models to identify emerging risks, patient patterns, and operational bottlenecks Translate complex scientific and business requirements into production-ready AI applications Deep understanding & Hands-on experience of know-how of model definitions and fine-tuning models to make them efficient and fit for purpose to UT PV business use cases Define and execute a bold technology strategy spanning the Global Patient Safety covering usage of AI in day-to-day PV operations, analytical sciences, signal detection, process scale up with a clear mandate to embed AI, machine learning, and agentic automation throughout, within the UT Global Patient Safety Organization Drive the architecture, development, and delivery of next-generation platforms for pharmacovigilance technological AI initiatives Integrate structured and unstructured datasets from safety databases, clinical systems, literature sources, real-world evidence, and external repositories Hand-on experience of creating staging schemas and data mining varied sources to uncover hidden trends & patterns turning into meaningful insights Build scalable pipelines for ingestion, transformation, and quality control of biomedical data Apply ontology mapping, terminology harmonization, and metadata strategies across MedDRA, WHO Drug, and related standards Ensure robust data lineage, traceability, and audit readiness Support modernization of pharmacovigilance and Organovigilance systems through AI enabled automation and decision support tools Improve case processing efficiency, medical review, and governance reporting through AI-enabled solutions Contribute to next-generation surveillance models for novel modalities including xenotransplantation, cell therapy, gene therapy, and organ-based therapeutics Develop AI enabled dashboards and visualization tools that enable rapid interpretation of safety trends Ensure AI models and digital tools are developed in alignment with GxP, privacy, security, validation, and regulatory expectations Support model governance frameworks including performance monitoring, unbiased detection, explainability (XAI), and change control Maintain documentation for validation, testing, intended use, and lifecycle management Collaborate with other Safety Functions, Clinical Operations, Regulatory Affairs, Medical Affairs, Biostatistics, and IT functions Provide technical guidance to analysts, data scientists, and business partners Deliver validated AI solutions that create measurable gains in vigilance quality, speed, and insight generation Improve detection and prioritization of safety signals through advanced analytics Enhance case processing and review efficiency while preserving quality and compliance Establish reliable, scalable biomedical data assets for future innovation Maintain regulatory-ready governance for AI-enabled safety systems Advance UTC's leadership position in responsible AI for the future of medicine Perform other duties as required

Minimum Requirements Bachelor's Degree in computer science, science, engineering, applied mathematics, data science, biomedical engineering, bioinformatics, artificial intelligence, or related discipline with 8+ years of relevant experience or Master's Degree in computer science, science, engineering, applied mathematics, data science, biomedical engineering, bioinformatics,…