
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
🤖 Artificial Intelligence
💰 $1G Post-IPO Debt on 2023-05
Healthcare Insurance • Biotechnology • Artificial Intelligence
IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.
🔥 0 minutes ago
🌲 North Carolina, Massachusetts – Remote
💵 $125.8k - $350.3k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
🤖 Artificial Intelligence
💰 $1G Post-IPO Debt on 2023-05
Healthcare Insurance • Biotechnology • Artificial Intelligence
IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.
• Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes • Recommend appropriate architectures that align business objectives, data assets, and technology capabilities • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks • Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment • Architect biomedical knowledge graphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval • Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources • Establish data foundations that support scalable, trustworthy, and AI-ready solutions • Serve as a trusted advisor to business, scientific, and technical stakeholders, leading workshops and solution design sessions • Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation • Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions • Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements
• Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, or a related field. • Significant experience delivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations • Demonstrated expertise in designing and deploying solutions leveraging foundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics • Experience designing AI solution architectures supported by strong data architecture principles. • Strong programming and solution development experience, particularly in Python and modern AI frameworks. • Experience with cloud platforms such as Azure, AWS, or Google Cloud. • Experience designing and deploying AI solutions in regulated environments. • Ability to translate complex business and scientific questions into structured AI solution designs and implementation plans. • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval. • Excellent communication, presentation, and consulting skills. • Ability to engage effectively with both executive stakeholders and highly technical teams.
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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