Sr Staff Engineer, AI and Advanced Analytics
Regeneron
4 hours ago
Remote friendly (Tarrytown, NY)
United States
IT
A Typical Day in the Role May Involve
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.
- Hands-on prototyping, experimentation, model development, and production deployment.
- Evaluate emerging GenAI tools/frameworks/architectural patterns; recommend adoption when appropriate.
Deliver Data Science Solutions
- Build and deploy advanced data science models for diagnostic, predictive, and prescriptive use cases for scientific and operational workflows.
- Apply statistical modeling, multivariate analysis, machine learning, time-series forecasting, feature engineering, and optimization.
- Collaborate with process scientists to design experiments, analyze process data, and translate insights into recommendations.
- Promote rigorous scientific methodology and strong statistical foundations.
Architecture & Cross-Functional Collaboration
- Partner with IT, Data Engineering, other teams, PAPD scientists, and analytics teams to define architectures and integrate models into enterprise workflows.
- Translate scientific/operational challenges into scalable AI/ML solutions with clear business value.
- Influence digitalization roadmap and contribute to long-term AI strategy.
- Establish 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) with frameworks, tools, and best practices.
Thought Leadership & Innovation
- Stay current with AI/ML and GenAI advancements; identify opportunities for automation, decision support, knowledge management, and efficiency.
- Lead or contribute to ideation, proof-of-concepts, and Agile delivery initiatives.
Minimum Qualifications
- Ph.D. with 6+ years OR Master’s with 10+ years in Computer Science, Data Science, Data Engineering, Applied Mathematics, Bioinformatics, or related discipline.
- Hands-on experience building/deploying ML and GenAI models (deep learning, NLP, LLMs, RAG, multimodal models).
- Strong Python programming; familiarity with PyTorch, TensorFlow, Hugging Face, LangChain, vector databases.
- Experience deploying on cloud analytics platforms (Databricks/Dataiku/Azure/AWS).
- Ability to communicate complex technical concepts to diverse stakeholders.
- Demonstrated experience managing and coaching team members.
Preferred Qualifications
- 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.
Benefits (explicitly stated)
- In the U.S., benefits may include health and wellness programs (medical, dental, vision, life, disability), fitness centers, 401(k) match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves.
- Salary range (annual): $150,500.00 - $245,500.00.
Application Instructions
- Apply now to take your first step toward living the Regeneron Way.
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.
- Hands-on prototyping, experimentation, model development, and production deployment.
- Evaluate emerging GenAI tools/frameworks/architectural patterns; recommend adoption when appropriate.
Deliver Data Science Solutions
- Build and deploy advanced data science models for diagnostic, predictive, and prescriptive use cases for scientific and operational workflows.
- Apply statistical modeling, multivariate analysis, machine learning, time-series forecasting, feature engineering, and optimization.
- Collaborate with process scientists to design experiments, analyze process data, and translate insights into recommendations.
- Promote rigorous scientific methodology and strong statistical foundations.
Architecture & Cross-Functional Collaboration
- Partner with IT, Data Engineering, other teams, PAPD scientists, and analytics teams to define architectures and integrate models into enterprise workflows.
- Translate scientific/operational challenges into scalable AI/ML solutions with clear business value.
- Influence digitalization roadmap and contribute to long-term AI strategy.
- Establish 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) with frameworks, tools, and best practices.
Thought Leadership & Innovation
- Stay current with AI/ML and GenAI advancements; identify opportunities for automation, decision support, knowledge management, and efficiency.
- Lead or contribute to ideation, proof-of-concepts, and Agile delivery initiatives.
Minimum Qualifications
- Ph.D. with 6+ years OR Master’s with 10+ years in Computer Science, Data Science, Data Engineering, Applied Mathematics, Bioinformatics, or related discipline.
- Hands-on experience building/deploying ML and GenAI models (deep learning, NLP, LLMs, RAG, multimodal models).
- Strong Python programming; familiarity with PyTorch, TensorFlow, Hugging Face, LangChain, vector databases.
- Experience deploying on cloud analytics platforms (Databricks/Dataiku/Azure/AWS).
- Ability to communicate complex technical concepts to diverse stakeholders.
- Demonstrated experience managing and coaching team members.
Preferred Qualifications
- 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.
Benefits (explicitly stated)
- In the U.S., benefits may include health and wellness programs (medical, dental, vision, life, disability), fitness centers, 401(k) match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves.
- Salary range (annual): $150,500.00 - $245,500.00.
Application Instructions
- Apply now to take your first step toward living the Regeneron Way.