NVIDIA is seeking to accelerate digital biology by using high-performance computing and AI, and is looking for individuals to help drive the development of computational frameworks and tools to push the boundaries of biological discovery.
Requirements
- Expertise in one or more areas of digital biology, such as structural biology, molecular dynamics, or virtual screening.
- Experience with high-performance computing infrastructure, parallel programming, and GPU acceleration.
- Proficiency in crafting libraries for processing biological data through efficient implementations in C or equivalent.
- Experience with NVIDIA's GPU and AI technologies, such as CUDA, cuDNN, and TensorRT.
- Deep familiarity developing accelerated libraries integrating biological data formats (e.g., PDB, SMILES, FASTA), databases (e.g., NCBI, UniProt, GenBank), and algorithms (e.g., Smith-Waterman, Needleman-Wunsch).
- Experience in deploying research projects as open-source software and contributing to scientific communities.
Responsibilities
- Lead applied and collaborative research programs using bioinformatics, high performance computing, and deep learning for biological advancements.
- Develop and accelerate bioinformatics software and algorithms to garner understanding in biology through data analysis and machine learning applications using NVIDIA's platform.
- Partner with pioneering TechBio startups and academic collaborators to develop, incorporate, and evaluate the future of NVIDIA's accelerated solutions.
- Collaborate across fields with biologists, computer and machine learning scientists to tackle complex biological problems.
- Contribute to scientific strategy in digital biology through publications, conference attendance, and thought leadership.
Other
- 5+ years of experience in computer science, physics, mathematics, data science, chemistry, biology, or a related field.
- PhD or equivalent experience
- Excellent collaboration and interpersonal skills, with the ability to work effectively in multi-functional teams.
- Proven skill in composing, initiating, and implementing impactful research programs independently.
- Ability to work in a diverse environment and commitment to fostering a diverse work environment.
