Remote AI Scientist, Molecular Design

Danaher Corporation; United States; Remote; USD 134,000 - 161,000; Full time

Benefits offered by this job

Remote-friendly

Medical/dental/vision insurance

401(k)

Paid time off

Job summary

The AI Scientist, Molecular Design at Danaher leads development and deployment of ML/AI models to support molecular design initiatives across the organization. This fully remote role reports to the Director, AI & Data Science, Molecular Design.

We seek a candidate with advanced degrees, strong Python coding, and experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow) and RDKit, plus hands-on protein design knowledge. Engagement across global teams is required.

Qualifications

• Master’s degree or PhD in Computational Biology, Computer Science, Physics, Applied Math, or a related quantitative field.
• Hands-on coding with Python and ML frameworks (Scikit-learn, PyTorch, TensorFlow) and RDKit.
• Ability to develop, implement, test, and deploy scalable software solutions from requirements.
• Deep understanding of protein structure prediction and design algorithms and related tools.

Responsibilities

• Support ML/AI solution development by evaluating algorithms and tools under guidance from senior team members.
• Collaborate with distributed cross-functional teams to implement ML/AI solutions for molecular design (protein/binder design, mRNA optimization, antibody optimization).
• Drive data integrity and standardization across the assay-to-AI pipeline; coordinate assays, data QC and reporting.
• Document workflows and findings to support knowledge sharing and integration of AI into production environments.
• Stay current with AI/machine learning advancements relevant to molecular design.

Skills

Python

Machine learning

Education

Master’s degree or PhD in Computational Biology, Computer Science, Physics, Applied Math, or related field

Tools

RDKit

Chai-1

Boltz-2

BindCraft

BoltzGen

Mosaic

Proteina Complexa

Job description

The AI Scientist, Molecular Design at Danaher leads development and deployment of ML/AI models to support molecular design initiatives across the organization. This fully remote role reports to the Director, AI & Data Science, Molecular Design.

We seek a candidate with advanced degrees, strong Python coding, and experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow) and RDKit, plus hands-on protein design knowledge. Engagement across global teams is required.