Engineering Manager Jobs at Thermo Fisher Scientific with Visa Sponsorship
Engineering Manager jobs at Thermo Fisher Scientific span its instruments, diagnostics, and life sciences divisions, with a consistent record of sponsoring work visas for qualified candidates. If you're targeting a leadership engineering role in the science and research sector, Thermo Fisher is an active sponsoring employer worth pursuing.
Find Engineering Manager Jobs at Thermo Fisher ScientificOverview
Showing 5 of 11+ Engineering Manager Jobs at Thermo Fisher Scientific
See all Engineering Manager Jobs at Thermo Fisher Scientific
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Manager Jobs at Thermo Fisher Scientific.
Get Access To All JobsWork 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
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 Manager Jobs at Thermo Fisher Scientific
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Manager Jobs at Thermo Fisher Scientific.
Get Access To All JobsTips for Finding Engineering Manager Jobs at Thermo Fisher Scientific
Align your credentials to specialty occupation standards
H-1B eligibility requires your Engineering Manager role to qualify as a specialty occupation. Gather documentation showing your degree field directly maps to your management scope, whether that's bioprocess engineering, analytical instrumentation, or manufacturing systems.
Target divisions with active engineering headcount
Thermo Fisher's Life Sciences Solutions and Laboratory Products groups run large engineering organizations. Focusing your search on these divisions, rather than applying broadly, puts you in front of hiring managers with recurring leadership gaps and established sponsorship workflows.
Raise sponsorship before the offer stage
Thermo Fisher's talent acquisition teams handle high application volumes. Confirming visa sponsorship availability early in recruiter screens, specifically for Engineering Manager levels, avoids late-stage misalignments after you've invested time in panel interviews.
Understand the LCA filing sequence for managers
Your employer must file a certified Labor Condition Application with the DOL before USCIS can receive your H-1B petition. For Engineering Manager roles, the prevailing wage determination is tied to your specific site location, so relocation between Thermo Fisher campuses can require a new LCA.
Use Migrate Mate to filter verified sponsoring roles
Engineering Manager openings at large science companies are not all sponsorship-eligible. Use Migrate Mate to filter Thermo Fisher's current Engineering Manager listings by visa type, so you're applying only to roles with confirmed sponsorship rather than guessing from job descriptions.
Prepare for PERM if you're pursuing permanent residence
Thermo Fisher has sponsored EB-2 and EB-3 Green Cards for engineering leadership roles. PERM requires demonstrating no qualified U.S. workers are available, so your resume should clearly document specialized expertise, such as GMP manufacturing systems or scientific instrument development, that distinguishes your candidacy.
Frequently Asked Questions
Does Thermo Fisher Scientific sponsor H-1B visas for Engineering Managers?
Yes, Thermo Fisher Scientific sponsors H-1B visas for Engineering Manager roles. The company participates in the annual H-1B cap lottery and also has cap-exempt pathways through partnerships with qualifying research institutions. Engineering Manager positions generally meet the specialty occupation standard required by USCIS, particularly when the role requires a degree in engineering, bioprocess science, or a closely related technical discipline.
Which visa types are commonly used for Engineering Manager roles at Thermo Fisher Scientific?
Thermo Fisher sponsors H-1B visas as the primary nonimmigrant work authorization for Engineering Managers. TN visas are an option for Canadian and Mexican nationals in qualifying engineering roles. The company also supports F-1 OPT and CPT for candidates transitioning from graduate engineering programs, and sponsors EB-2 and EB-3 Green Card petitions, including PERM-based applications, for engineering leaders seeking permanent residence.
How do I apply for Engineering Manager jobs at Thermo Fisher Scientific?
Apply directly through Thermo Fisher Scientific's careers portal, where Engineering Manager openings are listed by division and location. You can also browse verified sponsorship-eligible Engineering Manager roles at Thermo Fisher on Migrate Mate, which filters positions by visa type so you can confirm sponsorship availability before applying. Tailor your application to highlight technical leadership experience relevant to the specific division, such as instruments, diagnostics, or biosciences.
What qualifications does Thermo Fisher Scientific expect for Engineering Manager candidates?
Thermo Fisher typically expects a bachelor's or master's degree in mechanical, electrical, chemical, or bioprocess engineering for Engineering Manager roles. Beyond the degree, hiring managers look for demonstrated experience leading cross-functional engineering teams, familiarity with regulated manufacturing environments such as GMP or ISO standards, and a track record of delivering product or process improvements in a science or research industry context.
How long does the visa sponsorship process take for an Engineering Manager at Thermo Fisher Scientific?
Timeline depends on visa type. For H-1B, standard USCIS processing runs several months after the October 1 start date, though premium processing can reduce adjudication to around 15 business days. If Thermo Fisher initiates a PERM-based Green Card, the full process from labor certification through I-140 approval and priority date availability can span two or more years, depending on your country of birth and the EB category used.