Senior Level Research Data Specialist Jobs
Senior level research data specialist jobs place experienced professionals in charge of research program design, data integrity standards, and the analytical frameworks their organizations rely on for critical decisions. Roles cover on-site, remote, and hybrid settings across Education, Technology & Software, and Science & Research, with employers like NVIDIA, AbbVie, and The Clear Fund hiring at this level now.
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At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Principal Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.
Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team, and work with partners across the industry. You’ll help unlock new capabilities in fault tolerance, and bring theory into practice. Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light? If yes, we would love to hear from you!
What you'll be doing:
- Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research
- Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis
- Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others
- Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware
- Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving
What we need to see:
- Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)
- Extensive background in Quantum Information Science with 12+ overall years of experience in the Quantum Computing industry
- A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance
Ways to stand out from the crowd:
- Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning
- Experience with co-design of quantum error correction with quantum hardware or quantum applications
- Experience with CUDA and NVIDIA GPUs
- Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing
LOCATION:
LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 17, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Principal Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.
Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team, and work with partners across the industry. You’ll help unlock new capabilities in fault tolerance, and bring theory into practice. Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light? If yes, we would love to hear from you!
What you'll be doing:
- Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research
- Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis
- Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others
- Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware
- Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving
What we need to see:
- Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)
- Extensive background in Quantum Information Science with 12+ overall years of experience in the Quantum Computing industry
- A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance
Ways to stand out from the crowd:
- Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning
- Experience with co-design of quantum error correction with quantum hardware or quantum applications
- Experience with CUDA and NVIDIA GPUs
- Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing
LOCATION:
LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 17, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Find JobsSenior Level Research Data Specialist Job Market
Who's Hiring
- NVIDIA10
- AbbVie8
- The Clear Fund7
- Revolution Medicines6
- St. Jude Children's Research Hospital6
Top Industries Hiring
- Education68
- Technology & Software67
- Science & Research36
- Biotechnology & Pharmaceuticals36
- Healthcare & Medical Services35
Senior Level Research Data Specialist Jobs: Frequently Asked Questions
How do I get a senior level research data specialist job?
Employers hiring at this level look for candidates who have owned end-to-end research data pipelines, not just contributed to them. Demonstrating that you have set data quality standards, led cross-functional studies, and mentored junior analysts gives you a clear edge. A portfolio of complex projects where your decisions shaped outcomes matters as much as credentials at this stage.
Which companies hire senior level research data specialists?
Companies hiring senior level research data specialists right now include NVIDIA, AbbVie, and The Clear Fund, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large research institutions, health systems, government contractors, and data-driven technology firms that run ongoing or large-scale research programs requiring experienced oversight.
Are there remote senior level research data specialist jobs?
Yes, though availability varies by employer and project type. About 33% of senior level research data specialist openings are remote or hybrid as of November 2026, reflecting strong demand from organizations that have built distributed research teams. Roles tied to lab work, clinical data collection, or regulated datasets are more likely to require an on-site presence.
What makes a research data specialist role senior level?
Senior level roles are defined by ownership and scope rather than task execution. At this level, you are expected to design data collection protocols, establish quality assurance standards, guide research methodology decisions, and mentor less experienced team members. You work with limited supervision, contribute to strategic planning, and are accountable for the integrity and usability of research outputs across entire programs or initiatives.
Which industries hire the most senior level research data specialists?
Senior Level research data specialist roles concentrate in Education, Technology & Software, and Science & Research, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in evidence-based decision-making and regulatory compliance, creating sustained demand for experienced professionals who can manage complex datasets, lead research teams, and translate findings into actionable insights at an organizational level.