Merck KGaA Darmstadt Germany - West Point, PA

posted 5 days ago

Full-time - Senior
Onsite - West Point, PA
1,001-5,000 employees
Chemical Manufacturing

About the position

The Senior AI/ML Data Scientist - Natural Language Processing (NLP) role focuses on developing and deploying production-grade NLP products to analyze unstructured and semi-structured data within the company's research and development pipeline. This position aims to solve real-world problems in therapeutic research and development by leveraging machine learning and generative AI techniques, particularly in the context of biomedical literature and proprietary research data.

Responsibilities

  • Develop and deploy production-grade NLP products for unstructured and semi-structured data.
  • Consult with stakeholders on their projects to enhance data science, NLP, and AI literacy.
  • Co-author presentations, reports, manuscripts, and public code releases.
  • Build novel tools that facilitate the discovery and development of new therapeutics.
  • Evaluate, develop, test, and deploy new techniques for natural language understanding.
  • Stay updated on the latest methods in NLP, ML, and generative AI.

Requirements

  • PhD in data science, AI/ML/LLM engineering, computer science, or a related discipline; or M.S. with 2 years industry experience; or B.S. with 5 years industry experience focused on NLP, data science, AI/ML/LLM engineering, or a related discipline.
  • 2 years experience with Python, Spark, or related frameworks in AI, machine learning, data science, or data engineering.
  • 1 year experience with Natural Language Processing, Generative AI, or related techniques.

Nice-to-haves

  • Fluency in Python programming and version control with git.
  • Experience with scalable data engineering frameworks such as Apache Spark.
  • Experience with ML model deployment and operations including CI/CD workflows.
  • Working knowledge of statistical learning in NLP contexts.
  • Experience with NLP and/or Generative AI libraries and text annotation tools.

Benefits

  • Bonus eligibility
  • Long term incentive if applicable
  • Health care and other insurance benefits for employee and family
  • Retirement benefits
  • Paid holidays
  • Vacation
  • Sick days
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