NVIDIA
Life Sciences
SeniorAppliedResearchScientist
“Senior Applied Research Scientist at NVIDIA. Skills: large-scale foundation models, deep learning, AI techniques, genomics, proteomics, chemistry. Designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry. Experimental design for probing the capabilities and limitations of the foundation models that are developed”
Industry & Context.
What They're Looking For.
Must Have
PhD (or equivalent experience) in Computer Science or Computational Biology, 2+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields, Track record of excellence in engineering and research, Deep understanding of modern AI techniques: deep learning for sequences, diffusion models, LLMs, unsupervised learning, Hands-on practical know-how of how to design, train, and evaluate large neural networks, Excellent software engineering and design instincts in Python, C++, or similar, Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields
Nice to Have
GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Designing and training large-scale machine learning models at the intersection of genomics
Experimental design for probing the capabilities and limitations of the foundation models that are developed
Working closely with hardware and software teams to improve NVIDIA’s platforms for large-scale foundation model applications
Engaging with the broader research community via publications
and research collaborations
How You'll Work.
Team & Collaboration
Mentoring other team members; leading research initiatives; Working closely with hardware and software teams
Communication Scope
publications; presentations
Process & Methodology
craft strategic roadmaps
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