Lead AI Engineer, Biomedical & Vigilance Innovation
United Therapeutics Corporation
June 27, 2026
Remote friendly (Raleigh-Durham-Chapel Hill Area)
United States
IT
Responsibilities:
- Design, build, validate, and maintain machine learning, NLP, and generative AI solutions for biomedical and pharmacovigilance use cases
- Develop tools for 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 scientific and business requirements into production-ready AI applications
- Define and execute a technology strategy for day-to-day patient safety, analytical sciences, and signal detection using AI, ML, and agentic automation
- Drive architecture, development, and delivery of next-generation pharmacovigilance AI platforms; integrate structured/unstructured datasets
- Build scalable data pipelines, apply ontology mapping/terminology harmonization, ensure data lineage/audit readiness
- Support modernization of pharmacovigilance/organovigilance with AI automation and decision support; improve case processing and governance reporting
- Develop AI surveillance models and AI-enabled dashboards/visualizations; ensure alignment with GxP, privacy, security, validation, and regulatory expectations
- Support model governance (performance monitoring, XAI, change control) and maintain validation/testing/lifecycle documentation
Minimum Requirements:
- BS with 8+ years, MS with 6+ years, or PhD with 2+ years in CS/science/engineering/data science/biomed/AI (or related)
- 5+ years AI engineering/ML/advanced analytics in biopharma/healthcare/regulated industries
- 5+ years hands-on AI tools (e.g., Python/R/Matlab; TensorFlow/PyTorch; cloud ML)
- Production track record solving complex domain problems
- Cloud-native, platform architecture, and modern software development fluency
Preferred Qualifications:
- 5+ years NLP/LLMs/knowledge graphs/biomedical text mining
- Safety platform experience (Argus/ArisG/Veeva or equivalent)
- Pharmacovigilance/clinical development/regulatory knowledge (GVP/FDA/EMA/ICH) and data privacy frameworks
- PK/PD modeling/simulation; rare disease/advanced therapeutics exposure
Benefits:
- Eligible employees may participate in the company’s comprehensive benefits suite (medical/dental/vision/prescription, wellness, 401k/ESPP, paid time off/paid parental leave, disability, etc.).
Job Location:
- Durham, NC (hybrid: 4 days in office; option 1 day/week from home).
- Design, build, validate, and maintain machine learning, NLP, and generative AI solutions for biomedical and pharmacovigilance use cases
- Develop tools for 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 scientific and business requirements into production-ready AI applications
- Define and execute a technology strategy for day-to-day patient safety, analytical sciences, and signal detection using AI, ML, and agentic automation
- Drive architecture, development, and delivery of next-generation pharmacovigilance AI platforms; integrate structured/unstructured datasets
- Build scalable data pipelines, apply ontology mapping/terminology harmonization, ensure data lineage/audit readiness
- Support modernization of pharmacovigilance/organovigilance with AI automation and decision support; improve case processing and governance reporting
- Develop AI surveillance models and AI-enabled dashboards/visualizations; ensure alignment with GxP, privacy, security, validation, and regulatory expectations
- Support model governance (performance monitoring, XAI, change control) and maintain validation/testing/lifecycle documentation
Minimum Requirements:
- BS with 8+ years, MS with 6+ years, or PhD with 2+ years in CS/science/engineering/data science/biomed/AI (or related)
- 5+ years AI engineering/ML/advanced analytics in biopharma/healthcare/regulated industries
- 5+ years hands-on AI tools (e.g., Python/R/Matlab; TensorFlow/PyTorch; cloud ML)
- Production track record solving complex domain problems
- Cloud-native, platform architecture, and modern software development fluency
Preferred Qualifications:
- 5+ years NLP/LLMs/knowledge graphs/biomedical text mining
- Safety platform experience (Argus/ArisG/Veeva or equivalent)
- Pharmacovigilance/clinical development/regulatory knowledge (GVP/FDA/EMA/ICH) and data privacy frameworks
- PK/PD modeling/simulation; rare disease/advanced therapeutics exposure
Benefits:
- Eligible employees may participate in the company’s comprehensive benefits suite (medical/dental/vision/prescription, wellness, 401k/ESPP, paid time off/paid parental leave, disability, etc.).
Job Location:
- Durham, NC (hybrid: 4 days in office; option 1 day/week from home).