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Danaher

Makes tools for drug research and medical testing

AI Scientist - AI Molecular Design

AI ResearchPosted on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • A Master’s degree or PhD in Computational Biology, Computer Science, Physics, Applied Mathematics, 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, 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 hit optimization, particularly with methods used in antibody or VHH discovery.

Responsibilities

  • Evaluate and apply algorithms, machine-learning and artificial-intelligence tools, and frameworks under guidance from senior team members to support solution development.
  • Collaborate with geographically distributed cross-functional teams to understand project requirements and assist in implementing machine-learning and artificial-intelligence solutions for molecular-design efforts, including protein and binder design, mRNA optimization, and antibody optimization, at operating companies or enterprise-wide.
  • Drive data integrity and standardization across the assay-to-AI pipeline by coordinating assay scheduling, execution, data quality control, and reporting with experimental teams to ensure high-quality datasets for model training and evaluation.
  • Document workflows and findings to support knowledge sharing and integration of AI solutions into production environments.
  • Stay current with advancements in artificial intelligence and machine learning relevant to molecular design.

Desired Qualifications

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

About the Company

Danaher

Makes tools for drug research and medical testing

Danaher makes instruments, tests and laboratory supplies for drug developers, researchers and clinicians, spanning the path from biological research to clinical patient diagnosis. Its businesses include Cytiva for drug manufacturing, SCIEX for chemical analysis and Beckman Coulter for laboratory testing, linking specialized tools across healthcare workflows. Customers use its equipment to study cells, produce biological medicines and analyze patient samples; the group earns money by selling instruments, reagents, software and support services through its operating companies. Danaher was established in 1984 and is headquartered in Washington, DC.

Company size
10,001+
Company stage
IPO
Headquarters
Washington, DC
Founded
1984

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