Danaher Visa Sponsorship Jobs USA
Danaher is a global science and technology company with a portfolio spanning diagnostics, life sciences, and industrial manufacturing. While not among the highest-volume visa sponsors in manufacturing, Danaher does sponsor H-1B visa and Green Card candidates for specialized technical and engineering roles across its operating companies.
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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.
ABOUT THE ROLE
DHR Enterprise AI Solutions is Danaher's enterprise AI engineering capability, responsible for identifying opportunities, building and scaling reusable AI solutions, and accelerating measurable business impact across operating companies. We combine product, architecture, AI science, engineering and operations to industrialize AI, establish enterprise standards and enable the next generation of AI-powered products, workflows, applications and decision-making. The Lead AI Scientist must understand AI algorithms at a scientific level, including their development, progression, and interaction with data. The Lead AI Scientist must be highly proficient in Python and capable of performing hands-on technical work rather than operating primarily as a people manager. Candidates should have held at least a senior or lead position, although a technically hands-on director from a startup could also be considered. The role may mentor junior AI engineers and scientists but will not have direct reports.
We look forward to welcoming you to our organization. In DHR Enterprise AI Solutions, you will be responsible for exploring and validating emerging AI methods, designing rigorous evaluations and turning promising research into practical capabilities that Danaher can industrialize and scale. This hybrid role will require working occasionally in our Boston facility.
In this role, you will have the opportunity to:
- Identify and investigate emerging AI methods with potential to address high-value scientific, operational or commercial challenges across Danaher.
- Design rigorous experiments, benchmarks and evaluation approaches that make capability, limitations and risk transparent.
- Develop and test novel modelling, reasoning, retrieval or agentic approaches in partnership with AI and software engineers.
- Translate research findings into clear recommendations, reusable methods and production-minded prototypes for wider adoption.
- Communicate complex scientific concepts to technical and business audiences and mentor colleagues in advanced AI practices.
BASIC QUALIFICATIONS
- Minimum master’s degree, with a PhD preferred. Relevant disciplines include artificial intelligence, data science, machine learning, computer science, mathematics, physics, or a related subject. Candidates without a PhD should have approximately five years of experience following completion of a master’s degree. PhD work may satisfy the experience expectation.
- Strong expertise in machine learning, generative AI, statistical methods and experimental design.
- Ability to move from literature and emerging research to reproducible experiments and practical enterprise applications.
- Hands-on proficiency with Python, modern AI frameworks, evaluation methods and relevant cloud or compute environments.
- Sound scientific judgement, intellectual curiosity and the ability to challenge assumptions with evidence.
- Excellent written and verbal communication skills across research, engineering and business audiences.
- Ability to travel up to 10% domestically and internationally, as needed, to support program delivery, business engagement, partner coordination, audits, training, or operational readiness.
PREFERRED QUALIFICATIONS
It would be a plus if you also possess previous experience in:
- Applied AI research or advanced model-development programs.
- Designing model, agent or system evaluation frameworks.
- Transferring research innovations into enterprise products or production solutions.
COMPENSATION
- The annual salary range for this role is $175,000 - $200,000. 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.
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.
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.
LOCATION
This hybrid role will require working occasionally in our Boston facility.
INTRODUCTION
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.
ABOUT THE ROLE
DHR Enterprise AI Solutions is Danaher's enterprise AI engineering capability, responsible for identifying opportunities, building and scaling reusable AI solutions, and accelerating measurable business impact across operating companies. We combine product, architecture, AI science, engineering and operations to industrialize AI, establish enterprise standards and enable the next generation of AI-powered products, workflows, applications and decision-making. The Lead AI Scientist must understand AI algorithms at a scientific level, including their development, progression, and interaction with data. The Lead AI Scientist must be highly proficient in Python and capable of performing hands-on technical work rather than operating primarily as a people manager. Candidates should have held at least a senior or lead position, although a technically hands-on director from a startup could also be considered. The role may mentor junior AI engineers and scientists but will not have direct reports.
We look forward to welcoming you to our organization. In DHR Enterprise AI Solutions, you will be responsible for exploring and validating emerging AI methods, designing rigorous evaluations and turning promising research into practical capabilities that Danaher can industrialize and scale. This hybrid role will require working occasionally in our Boston facility.
In this role, you will have the opportunity to:
- Identify and investigate emerging AI methods with potential to address high-value scientific, operational or commercial challenges across Danaher.
- Design rigorous experiments, benchmarks and evaluation approaches that make capability, limitations and risk transparent.
- Develop and test novel modelling, reasoning, retrieval or agentic approaches in partnership with AI and software engineers.
- Translate research findings into clear recommendations, reusable methods and production-minded prototypes for wider adoption.
- Communicate complex scientific concepts to technical and business audiences and mentor colleagues in advanced AI practices.
BASIC QUALIFICATIONS
- Minimum master’s degree, with a PhD preferred. Relevant disciplines include artificial intelligence, data science, machine learning, computer science, mathematics, physics, or a related subject. Candidates without a PhD should have approximately five years of experience following completion of a master’s degree. PhD work may satisfy the experience expectation.
- Strong expertise in machine learning, generative AI, statistical methods and experimental design.
- Ability to move from literature and emerging research to reproducible experiments and practical enterprise applications.
- Hands-on proficiency with Python, modern AI frameworks, evaluation methods and relevant cloud or compute environments.
- Sound scientific judgement, intellectual curiosity and the ability to challenge assumptions with evidence.
- Excellent written and verbal communication skills across research, engineering and business audiences.
- Ability to travel up to 10% domestically and internationally, as needed, to support program delivery, business engagement, partner coordination, audits, training, or operational readiness.
PREFERRED QUALIFICATIONS
It would be a plus if you also possess previous experience in:
- Applied AI research or advanced model-development programs.
- Designing model, agent or system evaluation frameworks.
- Transferring research innovations into enterprise products or production solutions.
COMPENSATION
- The annual salary range for this role is $175,000 - $200,000. 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.
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.
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.
LOCATION
This hybrid role will require working occasionally in our Boston facility.
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Get Access To All JobsTips for Finding Danaher Visa Sponsorship Jobs USA
Target Danaher's operating companies directly
Danaher operates through subsidiaries like Beckman Coulter, Hach, and Leica Biosystems. Sponsorship decisions often sit at the operating company level, so searching by subsidiary name can surface relevant openings that a top-level Danaher search might miss.
Focus on technical and engineering disciplines
Danaher's manufacturing and life sciences divisions tend to sponsor for highly specialized roles in engineering, R&D, and quality assurance. Candidates with niche technical expertise in these areas are more likely to be considered for H-1B or Green Card sponsorship.
Understand Danaher's H-1B sponsorship scope
Danaher sponsors H-1B visas, though its volume is selective compared to large tech employers. Targeting roles where your specialty is genuinely hard to fill domestically strengthens your case for sponsorship consideration within their hiring process.
F-1 OPT candidates should apply early in hiring cycles
Danaher sponsors F-1 OPT, making it accessible for recent graduates. Because manufacturing hiring often follows project timelines, applying early in the calendar year improves your chances of landing a role before H-1B cap season deadlines become a concern.
Use verified sponsorship data when job searching
Not every Danaher job listing signals sponsorship availability. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus on Danaher roles where visa support is a genuine part of the hiring process.
TN visa holders from Canada or Mexico have a cleaner path
Danaher sponsors TN visas, which carry no lottery and no annual cap. Canadian and Mexican nationals in qualifying engineering or scientific roles should highlight TN eligibility explicitly, as it simplifies the sponsorship process considerably for hiring managers.
Frequently Asked Questions
Does Danaher sponsor H-1B visas?
Yes, Danaher sponsors H-1B visas, though it does so selectively rather than at high volume. Sponsorship tends to be concentrated in specialized technical, engineering, and scientific roles across its operating companies. Candidates with niche expertise in life sciences, diagnostics, or industrial manufacturing are best positioned to receive H-1B support.
Which visa types does Danaher sponsor?
Danaher sponsors H-1B, Green Card (EB-2 and EB-3), F-1 OPT, and TN visas. This range covers most major pathways for skilled international workers, from early-career graduates on OPT through to permanent residency for long-term employees in technical and engineering functions.
Which roles or departments at Danaher are most likely to offer visa sponsorship?
Sponsorship at Danaher is most common in engineering, research and development, quality assurance, and scientific roles tied to its life sciences and diagnostics platforms. Corporate functions like finance or marketing are less likely to generate sponsorship. Roles that require highly specialized credentials in manufacturing or laboratory science are the strongest candidates.
How do I find visa-sponsored jobs at Danaher?
Because Danaher operates through multiple subsidiaries, the most effective approach is searching by both the parent company name and individual operating company names. Migrate Mate lets you filter for employers with verified sponsorship history, making it easier to identify which Danaher-affiliated openings are genuinely open to visa candidates rather than relying on job listing language alone.
How do I time my application to Danaher around H-1B deadlines?
USCIS opens H-1B registration in early March, with the lottery typically running mid-March. To be included, your employer needs time to prepare and submit your registration. Aiming to secure a job offer from Danaher by January or February gives both sides sufficient runway to complete the process before the registration window closes.