[Hiring] AI Scientist @Danaher Corporation

Role Description

The AI Scientist, Molecular Design is responsible for the development and deployment of ML/AI models that support molecular design initiatives across the organization. This position reports to the Director, AI & Data Science, Molecular Design and is part of the Danaher Enterprise AI team, fully remote.

In this role, you will have the opportunity to:

• Support ML/AI solution development by evaluating and applying algorithms, ML/AI tools, and frameworks under guidance from senior team members.
• Collaborate with geographically distributed cross-functional teams to understand project requirements and assist in implementing ML/AI solutions that support molecular design efforts such as protein and binder design, mRNA optimization, antibody optimization, etc. at various operating companies or across the enterprise.
• Drive data integrity and standardization across the assay-to-AI pipeline, ensuring high-quality datasets for model training and evaluation by coordinating assay scheduling, execution, data QC, and reporting in partnership with experimental teams.
• Document workflows and findings to support knowledge sharing and integration of AI solutions into production environments.
• Engage in continuous learning by staying current with advancements in AI and machine learning relevant to molecular design.

Qualifications

• Master’s degree or PhD in Computational Biology, Computer Science, Physics, Applied Math, or a related quantitative field with on-the-job experience in a relevant technical discipline.
• Hands-on coding and analysis experience with Python and machine learning frameworks such as Scikit-learn, PyTorch, TensorFlow, and RDKit.
• Demonstrated ability to develop, implement, test, and apply novel or adapted algorithms through original coding to address complex business problems, translating requirements into scalable and production-ready software solutions.
• Deep understanding of protein structure prediction and design algorithms, with demonstrated experience modifying, extending, or improving implementations of tools such as Chai-1, Boltz-2, BindCraft, BoltzGen, Mosaic, or Proteina Complexa.
• Experience with wet-lab validation methodologies for AI designs, including DMTA cycles and using wet-lab data to train AI models for hits optimization, particularly with methods used in antibody or VHH discovery.

Requirements

• Experience working in life sciences, diagnostics, or biotechnology industries within cross-functional teams.
• Working proficiency with agentic frameworks such as LangChain or LangGraph and using large language models from Hugging Face, OpenAI, or Anthropic APIs.
• Knowledge of NGS sequence analysis.

Benefits

• Comprehensive, competitive benefit programs including health care and paid time off.
• Remote work arrangement eligibility.
• Annual salary range of 134,000-161,000 USD.
• Eligible for bonus/incentive pay.
• Comprehensive package of benefits including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees.