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Strong Tier-1 brand, mid-level ML lead, metro location, and common skillset increases applicant competition.
Regulatory pharmaceutical domain and ML/AI specialization reduce cross-industry transferability.
Requires 5+ years leadership, AI/ML expertise and regulated pharmaceutical experience, enforcing strict candidate filters.
Lead and manage a high-performing engineering team delivering scalable, production-grade automated analytics workflows to accelerate clinical data analysis.
Architect and implement a scientific analytics ecosystem leveraging AI and machine learning to support enterprise-wide digital transformation and diverse analytics use cases.
Align technology solutions with business priorities by managing senior stakeholders and defining AI-driven technical roadmaps and platform strategy.
5+ years of experience in people leadership or program management.
2+ years experience in pharmaceutical, biotechnology, or regulated healthcare technology industry.
Bachelor’s or advanced degree in Data Sciences, Biostatistics, Statistical Programming, Information Technology or related technical field.
Proven expertise in AI/ML frameworks and advanced analytics in regulated environments.
Experienced engineering leader with strong capability in building and inspiring innovative teams focused on AI and machine learning.
Technologically savvy individual adept in software development, process architecture, and service delivery methodologies within regulated pharma/biotech environments.
Strategic thinker exhibiting Visionary, Architect, Catalyst, and Coach (VACC) behaviors, skilled at navigating ambiguity and complex organizational boundaries.