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Senior Staff AI Scientist - USA Remote

Remote: 
Full Remote
Contract: 
Salary: 
170 - 210K yearly
Experience: 
Senior (5-10 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

PhD in Computer Science or related field, 7+ years of experience in data science or AI, Proven experience in AI system development, Proficient in Python and machine learning frameworks.

Key responsabilities:

  • Collaborate with experts for AI solutions
  • Design and deploy advanced AI systems
  • Oversee data acquisition and management
  • Document workflows and share knowledge
  • Mentor Data Scientists in the team
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Pall Corporation XLarge https://www.pall.com
5001 - 10000 Employees
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Job description

The Senior Staff AI Scientist will guide projects and support scientists within the Innovation Catalyst group. This team of machine learning and data science experts is strategically deployed for limited durations to collaborate with subject matter experts at operating companies, developing proof of concepts for innovation ideas.

This position is part of the Danaher CDAIO office, reporting to the Senior Director, AI Talent and Innovation, and located remotely.

In this role, you will have the opportunity for: 

  • Business Collaboration: Collaborate with subject matter experts at operating companies to understand business needs and conceptualize AI solutions that deliver measurable impacts while managing costs and risks.

  • AI Solution Development: Design, prototype, and deploy advanced AI solutions to address complex problems at operating companies or across the enterprise.

  • Data Management: Oversee data acquisition, preprocessing, and exploration to ensure the availability of high-quality data while maintaining data security.

  • Knowledge Sharing: Document models, workflows, and research findings. sharing knowledge with product and engineering teams at operating companies to ensure the seamless integration of AI solutions into production.

  • Continuous Learning: Stay abreast of the latest advancements in AI and machine learning, providing guidance and support to team members, and fostering a culture of continuous learning and development.

  • Mentorship and Development: Provide mentorship and guidance to Data Scientists within the team, fostering their professional growth and enhancing their technical skills and expertise.

  • Strategic Technology Selection: Lead the evaluation and selection of platforms, tools, techniques, and processes to advance the Data Science discipline, ensuring they align with the organization’s strategic objectives and industry best practices.

The essential requirements of the job include:  

  • PhD in Computer Science, Machine Learning, Physics, Applied Math, or a similar quantitative discipline.

  • 7+ years of industry experience in data science, AI, or a related technical field.

  • Proven experience in prototyping, building, and deploying AI systems for diverse applications.

  • 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: 

  • 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.

The salary range for this role is $170k-$210k. 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.

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.

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.

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.

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. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

The EEO posters are available here.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Collaboration
  • Communication
  • Mentorship

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