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Tier-1 employer but domain-specialized senior AI role yields moderate candidate competition.
Requires biopharma process development experience plus AI engineering, making cross-industry transfer difficult.
Minimum 7 years plus mandatory biopharma process and applied AI expertise enforces high selectivity.
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Design and implement AI-enabled workflow solutions to address ambiguous scientific and operational needs in Process Development.
Develop and maintain agents, automation patterns, retrieval flows, and human-in-the-loop workflows involving experimental data and knowledge management.
Lead technical delivery by collaborating across teams, developing evaluation benchmarks, and ensuring solutions are reusable and well-documented.
Bachelor's OR Master's degree in engineering, computer science, data science, applied mathematics, statistics, life sciences, or related technical field.
Minimum 7 years of related experience.
Proficiency in Python programming and modern software engineering practices (version control, testing, packaging, documentation).
Experience with AI/machine learning systems, experimental data in scientific/process development contexts, and development/deployment of analytical or AI capabilities.
Experienced AI/data engineer adept at bridging scientific workflows, data strategy, and software delivery for Process Development.
Capable of translating ambiguous scientific or operational problems into clear technical solutions with measurable outcomes.
Skilled in cross-functional collaboration and communication across global teams involving scientists, engineers, and product owners.