Sr Staff Engineer, AI and Advanced Analytics

Regeneron Pharmaceuticals • Tarrytown, GA

2d

About The Position

The Data Enablement and Analytics (DEA) team within the PAPD (Product, Analytics and Process Development) organization drives PAPD’s digital transformation by making data usable, useful, and impactful in support of our mission of Transforming Therapeutic Molecules into Products for a Diversified Pipeline. We are seeking a hands-on Artificial Intelligence (AI), Machine learning (ML) and Advanced Analytics Leader to design, build, and deploy cutting-edge AI/ML solutions that accelerate PAPD’s mission. The Senior Staff Engineer combines deep technical expertise with architectural leadership, cross-functional collaboration, and team mentorship. The ideal candidate thrives at the intersection of science, data, and technology, and is passionate about driving innovation across PAPD. A Typical Day in the Role May Involve Aspects Of: AI/ML & GenAI Development Design and develop end-to-end AI/ML and Generative AI solutions, including LLM applications, RAG pipelines, and multimodal Agentic AI systems. Contribute hands-on to prototyping, experimentation, model development, and production deployment. Evaluate emerging GenAI tools, frameworks, and architectural patterns, recommending their adoption where appropriate. Deliver Data Science Solutions Build and deploy advanced data science models for diagnostic, predictive, and prescriptive use cases supporting PAPD scientific and operational workflows. Apply statistical modeling, multivariate analysis, machine learning, time-series forecasting, feature engineering, and optimization methods to solve complex scientific and process challenges. Collaborate with process scientists to design experiments, analyze process data, and translate insights into actionable recommendations. Promote rigorous scientific methodology and strong statistical foundations across modeling efforts. Architecture & Cross-Functional Collaboration Partner with IT, Data Engineering, Other teams and departments, PAPD scientists, and analytics teams to define solution architectures and integrate models into enterprise workflows. Translate scientific and operational challenges into scalable AI/ML solutions with clear business value. Influence PAPD’s digitalization roadmap and contribute to long-term AI strategy. Establish and champion best practices for model development, validation, MLOps, and responsible AI. Team Leadership & Mentorship Manage and mentor a team of data scientists and AI engineers. Provide technical guidance, project oversight, and code reviews. Support decentralized analytics (e.g., citizen data scientists) by providing frameworks, tools, and best practices. Thought Leadership & Innovation Stay current with advancements in AI/ML and GenAI, bringing forward opportunities for automation, decision support, knowledge management, and efficiency gains. Lead or contribute to ideation sessions, proof-of-concepts, and Agile delivery initiatives across PAPD.

Requirements

• Ph.D. with 5+ years OR Master’s with 8+ years in Computer Science, Data Science, Data Engineering, Applied Mathematics, Bioinformatics, or related discipline.
• Hands‑on experience building and deploying ML and GenAI models (e.g., deep learning, NLP, LLMs, RAG, multimodal models).
• Strong programming proficiency in Python and familiarity with ML/GenAI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, vector databases).
• Experience deploying solutions on cloud analytics platforms (Databricks/Dataiku/Azure/AWS).
• Proven ability to communicate complex technical concepts to diverse stakeholders.
• Demonstrated experience managing and coaching team members.

Nice To Haves

• Experience in biopharma, process development, or scientific/operational analytics.
• Knowledge of mechanistic, empirical, or hybrid modeling approaches.
• Familiarity with PAT, chemometrics, multivariate analysis, or process analytics.
• Experience with MLOps, CI/CD, containerization, API development, and distributed computing.

Responsibilities

• Design and develop end-to-end AI/ML and Generative AI solutions, including LLM applications, RAG pipelines, and multimodal Agentic AI systems.
• Contribute hands-on to prototyping, experimentation, model development, and production deployment.
• Evaluate emerging GenAI tools, frameworks, and architectural patterns, recommending their adoption where appropriate.
• Build and deploy advanced data science models for diagnostic, predictive, and prescriptive use cases supporting PAPD scientific and operational workflows.
• Apply statistical modeling, multivariate analysis, machine learning, time-series forecasting, feature engineering, and optimization methods to solve complex scientific and process challenges.
• Collaborate with process scientists to design experiments, analyze process data, and translate insights into actionable recommendations.
• Promote rigorous scientific methodology and strong statistical foundations across modeling efforts.
• Partner with IT, Data Engineering, Other teams and departments, PAPD scientists, and analytics teams to define solution architectures and integrate models into enterprise workflows.
• Translate scientific and operational challenges into scalable AI/ML solutions with clear business value.
• Influence PAPD’s digitalization roadmap and contribute to long-term AI strategy.
• Establish and champion best practices for model development, validation, MLOps, and responsible AI.
• Manage and mentor a team of data scientists and AI engineers.
• Provide technical guidance, project oversight, and code reviews.
• Support decentralized analytics (e.g., citizen data scientists) by providing frameworks, tools, and best practices.
• Stay current with advancements in AI/ML and GenAI, bringing forward opportunities for automation, decision support, knowledge management, and efficiency gains.
• Lead or contribute to ideation sessions, proof-of-concepts, and Agile delivery initiatives across PAPD.

Benefits

• comprehensive benefits
• health and wellness programs (including medical, dental, vision, life, and disability insurance)
• fitness centers
• 401(k) company match
• family support benefits
• equity awards
• annual bonuses
• paid time off
• paid leaves (e.g., military and parental leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree