NVIDIA · 2 months ago
Senior Applied Research Scientist, Multiscale Biology
United States
Full-time
Remote
Senior Level
$148K/yr - $236K/yr
5+ years expNVIDIA is using the power of high-performance computing and AI to accelerate digital biology. In this role, you will join a team at the intersection of biology and computer science to advance groundbreaking digital biology research by developing next-generation technological solutions.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Conduct collaborative applied research in multiscale biology using deep learning and high-performance computing to identify critical biological challenges and experimental limitations
Work across disciplines with biologists, chemists, and machine learning scientists to tackle complex biological problems
Develop and optimize algorithms, software tools, and machine learning models for applications such as large scale genomics or proteomics analysis using NVIDIA's platform
Disseminate work demonstrating the technological impact of new capabilities on advancing biological research via open source releases and publications
Engage and collaborate with leaders with a point of view in industry and academia to promote NVIDIA's Digital Biology solutions
Qualification
Required
PhD or equivalent experience
5+ years of experience in biology, computer science, data science, physics, chemistry, mathematics, or a related field
Proven ability to build and manage relationships with the ecosystem of scientific partners in industry and academia
Experience with scaled computing, such as high-performance computing, parallel programming, and GPU acceleration applied to omics data at scale
Superb communication and collaboration skills, with the ability to work effectively in multi-functional teams
Deep familiarity with experimental biology and assay design, coupled with strong computational, algorithmic, or software engineering skills
A commitment and contribute to innovation and impact in digital biology and drug discovery
Preferred
Scientific track record developing and implementing technologies for biological data learning or analysis (e.g., imaging analysis, simulation frameworks, large-scale data integration, machine learning biological data) with NVIDIA's GPU and AI technologies, such as CUDA, cuDNN, and TensorRT
Track record of building impactful tools, platforms, and open-source software for life sciences
Experience in deploying research projects as open-source software and contributing to scientific communities
Scientific experience in functional genomics
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Business Insider
2026-01-09
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2026-01-09
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