Nvidia is hiring a
Senior Applied Scientist, Genomic Foundation Models - Drug Discovery AI
NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission!
As a Sr. Applied Scientist, you will join a research and development team passionate about infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to research, implement, productize, and deliver deep learning algorithms for applications to life sciences and drug discovery. The team engages in applied research and then helps productize this work.
What you will be doing:
Prototype and build deep learning algorithms for Genomics
Design metrics for and assist with the evaluation of model predictions and results
Know the latest research and identify ways to capitalize on new advancements, either as applied research projects or by directly integrating into product development
Collaborate with multiple AI infrastructure and research teams
Find opportunities to incorporate advances in the field and other NVIDIA products into our infrastructure
What we need to see:
10+ years of proven experience
Completed a MS or PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field), or equivalent experience
Expertise in deep learning and machine learning
Expertise in genomics
Strong experience with Python libraries for data science analysis (e.g. NumPy, Pandas, Matplotlib) and deep learning (PyTorch or TensorFlow)
Experience with modeling and validation of genomic and single cell data!
Recognition for technical leadership contributions, capable of self-direction, and willingness to learn from and teach others
You should display strong communication skills, be organized and self-motivated, and play well with others (be an excellent teammate)
Ways To Stand Out From The Crowd:
Background with open source development
Experience with C/C++, CUDA, docker
Experience with transformer-based NLP models
Relevant publication history and/or conference attendance
You will also be eligible for equity and benefits.
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