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Strong employer brand, metro location, mid-level ML/AI role, and broad AI skillset create high competition.
Core ML/AI skills are transferable, but pharma HEOR context raises domain specificity to medium.
Mandatory 6+ years plus specific ML, MLOps, and LLM skills imply high shortlisting strictness.
Develop and deliver AI-powered solutions, including ML pipelines, to accelerate medicine availability and drive critical business impact in Global Market Access and HEOR IT functions.
Partner with business and IT teams to scale and operationalize AI solutions for competitive advantage and educate stakeholders on AI applications.
Serve as a knowledge expert in foundation models, communicate insights to diverse audiences, and stay current with emerging data science and ML trends to foster innovation.
6+ years of experience in data & analytics or related fields with advanced knowledge in data science and analytics.
Strong programming skills in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
Experience with cloud computing platforms (AWS/GCP/Azure) and MLOps including model governance (MLFlow or equivalent).
Expertise in generative AI, prompt engineering, working with unstructured/semi-structured data, and fine-tuning deep learning models.
Experienced in leading implementations of new AI technologies, especially large language model (LLM)-based solutions and generative AI applications such as RAG pipelines or AI agents.
Ability to analyze complex environments, deliver strategic recommendations, and execute end-to-end AI solutions aligned with enterprise strategies.
Skilled at communicating technical concepts to non-technical stakeholders and driving AI adoption within business contexts.