Skip to content
mimi

Cheminformatics Scientist

AMARIS GROUP SA

Canada · On-site Full-time Lead Today

About the role

About

Lead molecular innovation through AI as a cheminformatics scientist. Harness machine learning to create models that optimize the design and synthesis of small molecules with desirable properties.

In this role, you will combine computational chemistry with advanced AI techniques. You'll be responsible for developing generative models, applying machine learning for property predictions, and analyzing dataset patterns using cheminformatics. Collaborate closely with interdisciplinary teams to facilitate data-driven research methodologies.

Responsibilities

  • Develop advanced generative AI models for chemical synthesis
  • Apply machine learning to predict molecular properties
  • Design AI pipelines for small-molecule candidates
  • Analyze molecular datasets for experimental insights
  • Fine-tune foundation models on proprietary data

Requirements

  • PhD or equivalent experience in a technical field
  • Strong AI/ML knowledge in molecular applications
  • Experience with generative models and cheminformatics analysis
  • Proficient in Python and relevant libraries
  • Familiarity with cloud computing for model training

Transform molecular discovery by integrating AI methods with cheminformatics for innovative chemical solutions and research advancements.

Skills

AIPythongenerative modelsmachine learningcheminformatics

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free