Senior Data Science Engineer Jobs in USA with Visa Sponsorship
Senior Data Science Engineer roles are among the most actively sponsored positions in the U.S. tech industry. Employers routinely file H-1B visa petitions for this title, and the specialty occupation requirement is straightforward to satisfy with a degree in computer science, statistics, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.
We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.
At QIAGEN, every day is an opportunity to make a real-life impact.
Join us, grow with us, and together, let's shape the future of biological discovery.
About the opportunity
Join QIAGEN Digital Insights as you help pharmaceutical and biotech partners unlock the power of biomedical knowledge graphs, omics data, and AI‑driven discovery. In this customer‑facing data science role, you translate complex research questions into actionable analytical workflows, build compelling scientific narratives, and shape how customers realize value from QIAGEN’s data solutions. You collaborate closely with Sales, Field Application Scientists, Product, Engineering, and Marketing — all while influencing outcomes without direct product development responsibilities.
Your tasks include
- Partner with pharma and biotech customers to define high‑value scientific and data use cases leveraging QIAGEN’s Biomedical Knowledge Base and related technologies.
- Translate research goals into clear analytical frameworks, workflows, and implementation paths.
- Prepare and deliver technical demos, workshops, and proof‑of‑concept discussions during pre‑sales engagements.
- Capture and refine customer requirements to inform product prioritization and data delivery.
- Create impactful documentation, visualizations, and presentations that clearly articulate scientific and business outcomes.
- Collaborate with internal teams — including Product Development, Engineering, Content Curation, and Marketing — to translate customer insights into product improvements and consistent messaging.
- Develop scientific collateral such as use case summaries, case studies, and white papers; represent QIAGEN at conferences, webinars, and customer meetings.
Your profile
- PhD in Bioinformatics, Computational Biology, Data Science, or related biomedical field, or MS with equivalent industry experience.
- Experience engaging with pharma or biotech customers in data‑driven, scientific, or pre‑sales settings.
- Proficiency in Python, R, or related languages for data analysis.
- Strong understanding of biomedical/omic data structures, network biology, and knowledge graphs; familiarity with graph queries (e.g., Cypher/Neo4j) is an advantage.
- Exposure to LLMs or AI‑enabled discovery tools is a plus.
- Excellent communication and storytelling abilities, with a proven ability to simplify complex concepts for varied audiences.
- Collaborative mindset and comfort working with sales, field science, product, and engineering teams.
- US‑based, remote role with up to 15% travel (East Coast preferred).
The estimated total compensation (base salary + bonus) range for this position is $160,000 - $190,000. Compensation will be based on the candidate’s experience, skills, geographic location, and other job-related factors. In addition to compensation, we also offer generous benefits.
What we offer
- Bonus/Commission
- Local benefits
- Referral Program
- Volunteer Day
- Internal Academy (QIALearn)
- Employee Assistance Program
- Hybrid work (conditional to your role)
Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.
QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.
Overview
At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.
We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.
At QIAGEN, every day is an opportunity to make a real-life impact.
Join us, grow with us, and together, let's shape the future of biological discovery.
About the opportunity
Join QIAGEN Digital Insights as you help pharmaceutical and biotech partners unlock the power of biomedical knowledge graphs, omics data, and AI‑driven discovery. In this customer‑facing data science role, you translate complex research questions into actionable analytical workflows, build compelling scientific narratives, and shape how customers realize value from QIAGEN’s data solutions. You collaborate closely with Sales, Field Application Scientists, Product, Engineering, and Marketing — all while influencing outcomes without direct product development responsibilities.
Your tasks include
- Partner with pharma and biotech customers to define high‑value scientific and data use cases leveraging QIAGEN’s Biomedical Knowledge Base and related technologies.
- Translate research goals into clear analytical frameworks, workflows, and implementation paths.
- Prepare and deliver technical demos, workshops, and proof‑of‑concept discussions during pre‑sales engagements.
- Capture and refine customer requirements to inform product prioritization and data delivery.
- Create impactful documentation, visualizations, and presentations that clearly articulate scientific and business outcomes.
- Collaborate with internal teams — including Product Development, Engineering, Content Curation, and Marketing — to translate customer insights into product improvements and consistent messaging.
- Develop scientific collateral such as use case summaries, case studies, and white papers; represent QIAGEN at conferences, webinars, and customer meetings.
Your profile
- PhD in Bioinformatics, Computational Biology, Data Science, or related biomedical field, or MS with equivalent industry experience.
- Experience engaging with pharma or biotech customers in data‑driven, scientific, or pre‑sales settings.
- Proficiency in Python, R, or related languages for data analysis.
- Strong understanding of biomedical/omic data structures, network biology, and knowledge graphs; familiarity with graph queries (e.g., Cypher/Neo4j) is an advantage.
- Exposure to LLMs or AI‑enabled discovery tools is a plus.
- Excellent communication and storytelling abilities, with a proven ability to simplify complex concepts for varied audiences.
- Collaborative mindset and comfort working with sales, field science, product, and engineering teams.
- US‑based, remote role with up to 15% travel (East Coast preferred).
The estimated total compensation (base salary + bonus) range for this position is $160,000 - $190,000. Compensation will be based on the candidate’s experience, skills, geographic location, and other job-related factors. In addition to compensation, we also offer generous benefits.
What we offer
- Bonus/Commission
- Local benefits
- Referral Program
- Volunteer Day
- Internal Academy (QIALearn)
- Employee Assistance Program
- Hybrid work (conditional to your role)
Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.
QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Data Science Engineer
Lead with your technical stack, not just your title
Sponsors evaluate Senior Data Science Engineers on specific tools: PyTorch, TensorFlow, Spark, and SQL pipelines carry more weight than a generic resume. Listing exact frameworks signals you can contribute immediately and reduces employer hesitation around sponsorship cost.
Target companies with an established H-1B track record
Large tech firms and data-intensive companies in finance, healthcare, and logistics file H-1B petitions annually for this role. Focusing your search on employers with prior sponsorship history dramatically improves your odds of receiving and successfully completing an offer with visa support.
Clarify your OPT or current status early in conversations
Employers sponsor more readily when they understand your timeline. If you have STEM OPT remaining, say so upfront. It shows the employer has up to three years before H-1B sponsorship becomes necessary, which lowers their perceived risk and urgency considerably.
Quantify business impact, not just model accuracy
Hiring managers sponsoring senior roles want proof of ROI. Frame your experience around revenue protected, cost reduced, or decisions improved by your models. Concrete business outcomes make sponsorship feel like an investment with a clear return, not an administrative burden.
Understand the specialty occupation standard for your exact role
H-1B approval hinges on demonstrating your position requires a specific bachelor's degree or higher. For Senior Data Science Engineers, a degree in statistics, computer science, mathematics, or data science satisfies this cleanly. Roles blending general management duties can face added scrutiny from USCIS.
Use Migrate Mate to find roles that explicitly sponsor
Filtering for verified sponsoring employers saves weeks of guesswork. Migrate Mate surfaces Senior Data Science Engineer roles from companies actively willing to file H-1B or other work visa petitions, so you spend your time applying where sponsorship is already on the table.
Frequently Asked Questions
Does a Senior Data Science Engineer role qualify as an H-1B specialty occupation?
Yes, consistently. USCIS treats Senior Data Science Engineer as a specialty occupation because the position normally requires a bachelor's degree or higher in a specific technical field such as computer science, statistics, applied mathematics, or data science. The direct relationship between the degree field and the job duties is well-established, which means RFEs on specialty occupation grounds are less common for this title than for more generalist roles.
What degree do I need for an employer to sponsor my H-1B as a Senior Data Science Engineer?
A bachelor's degree or higher in computer science, statistics, mathematics, data science, or a closely related quantitative field satisfies the H-1B visa educational requirement for this role. Degrees in adjacent fields like electrical engineering or operations research can also qualify if your coursework covered statistical modeling or machine learning. A three-year Australian or Indian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, though some USCIS adjudicators may request a credential evaluation for clarity.
Which visa types are realistic for Senior Data Science Engineers seeking U.S. sponsorship?
The H-1B is the most common path and requires winning the annual lottery, which selects roughly 25% of registrations. Australians can pursue the E-3 visa, which has no lottery and processes faster. Canadians and Mexicans qualify for the TN visa under the USMCA. Candidates with a demonstrated record of exceptional research or industry impact may qualify for the O-1A, which is cap-exempt and bypasses the lottery entirely. Migrate Mate lists roles by visa type so you can filter for employers open to your specific status.
Do large tech companies sponsor Senior Data Science Engineers more reliably than startups?
Generally, yes. Companies like Amazon, Google, Microsoft, and Meta have dedicated immigration teams, established relationships with immigration law firms, and predictable annual H-1B filing cycles. Startups can and do sponsor, but they face tighter cash constraints and sometimes lack internal expertise to manage the process. Mid-size companies with 500 or more employees and an existing engineering org tend to be the most reliable sponsors outside of major tech firms, since they have legal infrastructure without the bureaucracy that slows larger organizations.
Can I switch employers between the H-1B lottery and my start date without losing my status?
If your H-1B was approved and you're already working in H-1B status, you can transfer to a new employer under H-1B portability once the new employer files a transfer petition. However, if you won the lottery but your start date hasn't arrived yet, you're not yet in H-1B status and cannot use portability. In that scenario, switching employers requires the new employer to either file a cap-exempt petition if they qualify, or register you in the next lottery cycle.
What is the prevailing wage requirement for sponsored Senior Data Science Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.