Engineering Jobs at Thermo Fisher Scientific with Visa Sponsorship
Engineering jobs at Thermo Fisher Scientific span product development, manufacturing systems, and scientific instrumentation across a global footprint in Science & Research. The company has a consistent track record of sponsoring international engineers, supporting candidates through H-1B visa, Green Card, and OPT pathways from offer through long-term status.
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Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS
- Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
- Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
- Advanced certifications in data science, machine learning, or AI technologies are valued
- Strong expertise in machine learning, AI, and statistical modeling techniques
- Advanced proficiency in programming languages including Python, R, and SQL
- Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated success leading and mentoring data science teams
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Proven track record of implementing large-scale data science solutions
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
- Strong knowledge of data governance and regulatory compliance
- Excellent project management and cross-functional collaboration skills
- Outstanding communication abilities to translate technical concepts for diverse audiences
- Experience with Agile/Scrum methodologies
- Ability to travel up to 20% as needed
- Proven ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS
- Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
- Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
- Advanced certifications in data science, machine learning, or AI technologies are valued
- Strong expertise in machine learning, AI, and statistical modeling techniques
- Advanced proficiency in programming languages including Python, R, and SQL
- Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated success leading and mentoring data science teams
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Proven track record of implementing large-scale data science solutions
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
- Strong knowledge of data governance and regulatory compliance
- Excellent project management and cross-functional collaboration skills
- Outstanding communication abilities to translate technical concepts for diverse audiences
- Experience with Agile/Scrum methodologies
- Ability to travel up to 20% as needed
- Proven ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
See all Engineering Jobs at Thermo Fisher Scientific
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Get Access To All JobsTips for Finding Engineering Jobs at Thermo Fisher Scientific
Align your degree field to the role
Thermo Fisher's engineering requisitions typically specify disciplines like mechanical, electrical, chemical, or systems engineering. Your degree must match the posted specialty. A mismatch between your transcript and the job description can create H-1B specialty occupation complications at the USCIS adjudication stage.
Target Thermo Fisher's product manufacturing sites
Roles tied to instrument manufacturing, bioprocessing equipment, or lab automation are concentrated at specific facilities. Searching by site location, not just job title, surfaces positions with dedicated engineering teams that have recurring sponsorship needs rather than one-off openings.
Clarify sponsorship scope before accepting an offer
Ask directly whether the offer covers H-1B filing only or includes employer-sponsored Green Card progression through EB-2 or EB-3 PERM. Thermo Fisher supports both, but the timeline and employer commitment vary by business unit and role level.
Use Migrate Mate to filter open Engineering roles
Thermo Fisher regularly posts Engineering positions across multiple sites. Use Migrate Mate to filter specifically for roles that match your visa type so you're not applying to positions that don't fit your current authorization or sponsorship eligibility.
Prepare your OPT or STEM OPT documentation early
If you're bridging on F-1 OPT, confirm your I-983 training plan reflects actual engineering duties, not a generic description. USCIS scrutinizes STEM OPT extensions in technical roles, and a weak training plan can jeopardize your authorization window before H-1B filing begins.
Account for PERM timing in senior role negotiations
For EB-2 or EB-3 sponsorship, DOL's PERM process runs six to twelve months before an I-140 is even filed. If you're negotiating a senior engineering offer, factor that runway into your planning so your priority date strategy aligns with your long-term immigration goals.
Frequently Asked Questions
Does Thermo Fisher Scientific sponsor H-1B visas for Engineers?
Yes, Thermo Fisher Scientific sponsors H-1B visas for Engineering roles. The company files petitions for engineers in disciplines including mechanical, electrical, chemical, and systems engineering. Sponsorship is most consistent for product development and manufacturing-focused positions. Because H-1B is subject to the annual lottery, timing your application cycle correctly matters. Confirm sponsorship scope with your recruiter before signing an offer.
How do I apply for Engineering jobs at Thermo Fisher Scientific?
Apply directly through Thermo Fisher Scientific's careers portal, where Engineering roles are posted by site, discipline, and business unit. Before applying, verify the role matches your visa type and that the position description reflects a specialty occupation your degree supports. Migrate Mate lets you browse current Thermo Fisher Engineering openings filtered by visa sponsorship eligibility, which helps you prioritize the right applications.
Which visa types does Thermo Fisher Scientific commonly use for Engineering roles?
Thermo Fisher sponsors H-1B, TN visa (for Canadian and Mexican nationals in qualifying engineering categories), F-1 OPT, F-1 CPT for students in co-op or internship programs, and employer-sponsored Green Cards through EB-2 and EB-3 PERM pathways. The right visa depends on your citizenship, degree level, and where you are in your career. Senior engineering hires are more likely to have Green Card sponsorship built into the offer conversation.
What qualifications does Thermo Fisher Scientific typically expect for Engineering roles?
Most Engineering positions require a bachelor's degree or higher in a directly related engineering discipline. Roles in instrument development, bioprocessing systems, or manufacturing engineering often require field-specific experience such as working with analytical instruments, cleanroom environments, or regulatory-compliant manufacturing processes. Graduate degrees in engineering or a related science field strengthen your profile for senior or R&D-adjacent roles, where EB-2 sponsorship is more commonly available.
How long does the visa sponsorship process take for a Thermo Fisher Engineering hire?
If you're starting on F-1 OPT, your employer has up to 60 days after your OPT start date to file an H-1B cap-subject petition in April for an October 1 start. PERM for Green Card sponsorship typically takes six to twelve months with the DOL before I-140 filing. Premium processing for the I-140 can reduce that USCIS review window to 15 business days. Plan your transition timeline with HR before accepting the offer.