Senior AI Data Scientist: Generative AI for Pharma R&D

1000 Merck Sharp & Dohme LLC

Rahway (NJ)

Presencial

USD 117.000 - 184.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Annual bonus
Long-term incentive

Descripción de la vacante

MSD, based in Rahway, NJ, seeks a highly motivated quantitative scientist to bridge AI, data, and pharmaceutical R&D. The role emphasizes generative AI agentic approaches to solve complex scientific problems and communicating results to diverse audiences.

The candidate will work with scientists, clinicians and regulators, delivering data-driven solutions and formal analytics protocols while advancing rapid learning and collaboration within a team.

Formación

  • PhD or Master’s degree with relevant quantitative education.
  • Hands-on expertise with agentic AI, supported by concrete examples of solutions or applications.
  • Strong foundation in statistical reasoning, data analysis, and quantitative problem solving.
  • Evidence of passion for rapid learning, ability to work independently and collaboratively, and excellent communication.

Responsabilidades

  • Deliver solutions to challenging problems across pharmaceutical Research & Development.
  • Collaborate with scientists, clinicians and regulatory agencies to translate scientific problems into tangible solutions.
  • Communicate ideas and concepts clearly to technical and non-technical audiences.
  • Author formal data analytic protocols and reports.

Conocimientos

Applied Statistics
Bioinformatics
Biostatistics
Computational Biology
Data Analysis
Data Processing
Data Science
Generative AI
Intelligent Agents
Numerical Analysis
Problem Solving
Study Design

Educación

PhD or Master’s degree

Descripción del empleo

MSD, based in Rahway, NJ, seeks a highly motivated quantitative scientist to bridge AI, data, and pharmaceutical R&D. The role emphasizes generative AI agentic approaches to solve complex scientific problems and communicating results to diverse audiences.

The candidate will work with scientists, clinicians and regulators, delivering data-driven solutions and formal analytics protocols while advancing rapid learning and collaboration within a team.

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