At first glance, you’ll see Danaher’s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms—life sciences, diagnostics, and biotechnology.
Look again and you’ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You’ll find associates who are as certain about their impact as they are about where they’re headed next.
You’ll find the Danaher Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.
The Senior AI Scientist, Molecular Design is responsible for building, training and deploying GenAI molecular design models that drive significant impact to the organization.
This position is part of the Danaher Enterprise AI team and will be Remote

THE ESSENTIAL REQUIREMENTS OF THE JOB INCLUDE:

• PhD in Computational Biology, Computer Science, Machine Learning, Physics, Applied Math, or a similar quantitative discipline.
• 7+ years of industry experience in data science, AI, Bioinformatics, or a related technical field.
• Proven experience in prototyping, building, and deploying AI systems.
• Proficiency in Python programming and machine learning frameworks.
• Excellent communication and collaboration skills, with a demonstrated ability to work effectively across diverse teams and stakeholders.

IT WOULD BE A PLUS IF YOU ALSO POSSESS PREVIOUS EXPERIENCE IN:

• Experience with molecular design and/working within the life sciences, diagnostics, or biotechnology industries.
• Familiarity with Danaher operating companies and their focus areas.
• Strong publication record in top-tier AI conferences and journals.
  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 salary range this role is $180,000-$225,000. 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. #LI-Remote
  We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
  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.
  For more information, visit www.danaher.com.

• Business Collaboration: Collaborate with subject matter experts at operating companies (or external parties) to understand business needs/strategic rationale then conceptualize/prioritize AI solutions that deliver measurable impacts while managing costs and risks.
• AI Solution Development: Identify, evaluate, select, connect and deploy GenAI suites and tools that can support the prioritized innovation pipeline, e.g., protein and binder design, mRNA optimization, antibody optimization, etc at various operating companies or across the enterprise.
• Data Management: Oversee data acquisition, preprocessing, and exploration to ensure the availability of high-quality fit-for-AI purpose data, and closing the insilico-wet lab feedback loop while maintaining data security, and compliance
• Continuous Learning: Stay abreast of the latest advancements in AI and machine learning, fostering a culture of continuous learning and development, Thorough documentation of models, workflows, and research findings to enable knowledge sharing with product and engineering teams at operating companies and to ensure the seamless integration of AI solutions into production.
• Mentorship and Development: Provide mentorship and guidance to Data Scientists within the team, fostering their professional growth and enhancing their technical skills and expertise.