Senior Applied Scientist
Adobe
At a glance
AI generatedNVIDIA seeks senior research scientists and engineers to join its pioneering team developing large-scale foundation models for life sciences. Ideal candidates will design and train machine learning models at the intersection of genomics, proteomics, and chemistry, conduct experimental designs to probe model capabilities, mentor colleagues, lead initiatives, and collaborate with hardware and software teams to enhance NVIDIA’s platforms. The role requires a PhD or equivalent experience in Computer Science or Computational Biology, along with 2+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields. Candidates must demonstrate expertise in modern AI techniques such as deep learning for sequences, diffusion models, and LLMs, alongside strong software engineering skills in Python, C++, or similar languages, and a robust background in biochemistry, drug discovery, molecular biology, or chemical engineering.
Skills
What you'll do
What we're looking for
Market check
This $168,000–$264,500 range sits above 77% of similar postings on FindRole.
Peer median band
$121,122–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$143,330–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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