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Sr Associate, Agentic AI in Discovery Chemistry

Amgen Inc.
Posted a month ago

LOCATION

India · Onsite

EXPERIENCE

5 - 9 Years

TYPE

FullTime

SKILLS REQUIRED

Agentic AI WorkflowsScientific Data InterpretationMolecular Representationcheminformatics

Job description

Overview

Work on applying agentic AI to accelerate discovery chemistry, including molecular design workflows and scientific data interpretation.

What you'll do

  • Collaborate with discovery, computational, data science, and automation teams to identify and implement agentic AI applications.
  • Develop, test, and refine AI-enabled workflows for molecule ideation, intelligence, synthesis planning, and data interpretation.
  • Organize and assess chemical, biological, and assay data to support reliable AI-enabled analysis and decisions.
  • Evaluate AI-generated outputs for scientific validity, relevance, reproducibility, and practical value.
  • Translate scientific questions and laboratory needs into structured workflows, prompts, evaluation approaches, and tools.
  • Support adoption of agentic AI tools while maintaining data integrity, documentation, confidentiality, and scientific quality.
  • Communicate results, workflow performance, and recommendations to cross-functional stakeholders.

What you'll need

  • Master’s degree in Chemistry or a closely related scientific field.
  • Strong understanding of small-molecule discovery and related chemistry areas.
  • Experience working with scientific data including chemical structures, reaction data, assay data, or experimental results.
  • Ability to analyze problems systematically and document work with scientific rigor.
  • Ability to work effectively in a collaborative, cross-functional research environment.
  • Strong written and verbal communication skills.

Nice to have

  • Prior industry experience in pharmaceutical R&D, biotechnology, CROs, or chemical/discovery chemistry.
  • Familiarity with AI/ML tools, large language models, and generative/agentic workflows.
  • Experience with cheminformatics and chemical databases or molecular representations.
  • Familiarity with tools/concepts such as SMILES, SDF, RDKit, reaction informatics, and cheminformatics/AI in chemistry.
  • Experience assessing AI-generated recommendations against experimental evidence or scientific criteria.
  • Ability to learn new technologies quickly and apply them to discovery chemistry problems.

Details

  • Preferred experience listed as: Bachelor's with 5–9 years of experience.

Read the full description and apply on the company’s own careers page.

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Sr Associate, Agentic AI in Discovery Chemistry