AI Scientist - AI Molecular Design

Danaher Corporation

United States

Remote

USD 134,000 - 161,000

Full time

4 days ago
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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

Bring more to life. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible.

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. This position is part of the Danaher Enterprise AI team and will be 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.

The essential requirements of the job include:

  • 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.
  • It would be a plus if you also possess previous experience in:
  • 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.
  • Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
  • At Danaher, we believe in designing a better, more sustainable workforce.
  • We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.
  • The annual salary range for this role is 134,000-161,000 USD. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
  • This job is also eligible for bonus/incentive pay.
  • We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable.
  • The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

For more information, visit www.danaher.com.

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here.

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact: 1-202-419-7762 or applyassistance@danaher.com.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

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