Senior Applied AI Researcher, Digital Biology
NVIDIA Corporation · Santa Clara, CA
$184,000–$356,500from the description
Jun 28, 2026
Santa Clara, CA
Jul 21, 2026
What this job asks for AI summary
This role sits within an applied research group working at the intersection of AI and biology, building large-scale deep learning architectures — including LLMs, Transformers, and generative models — for biological and clinical data. Day-to-day work spans multimodal learning, agentic AI systems, and healthcare digital twins, with an expectation to publish research and release code. It suits an experienced researcher who can independently drive projects from concept through scalable implementation.
Senior level · 8+ years · Santa Clara, CA · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 20 people in the Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 4–30
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $185,080 (middle half $149,570–$219,460). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role spans two internal levels (L4 and L5) with distinct salary bands: $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. The pay band fields reflect the full combined range across both levels.
The SOC classification is a genuine judgment call: the role is titled 'Applied Researcher' and emphasizes publishing, novel architecture design, and scientific discovery (pointing to 15-2051 Data Scientists), but also requires substantial production-grade coding in Python/C++/PyTorch and deployment of large-scale systems (pointing to 15-1252 Software Developers). 15-2051 was chosen as primary given the explicit research framing and publication requirement.
Degree requirement is MS or PhD; 'or equivalent experience' is also stated. Because the JD explicitly names the degree levels as the primary gate before offering the equivalency escape, Masters is recorded as the minimum formal degree.
PyTorch and CUDA are listed together ('PyTorch and/or CUDA') in the requirements section; PyTorch is treated as the primary named skill with CUDA in alternatives, as they serve overlapping but distinct functions in this context.
Multimodal learning is listed in the required section but qualified as 'highly valued' rather than a firm gate, so it is marked preferred.
State Space Models (SSMs), RAG, bioinformatics, and digital twin experience all appear under the 'Ways To Stand Out From The Crowd' (nice-to-have) section and are marked preferred accordingly.
No explicit office location is stated in the posting; Santa Clara, CA (NVIDIA's headquarters CBSA) is inferred. The role does not appear to be remote-eligible based on the collaborative, lab-oriented research framing.
Read the full posting
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