[Remote] Senior Applied Research Scientist, Bioinformatics

Note: The job is a remote job and is open to candidates in USA. NVIDIA is using the power of high-performance computing and AI to accelerate digital biology. We are seeking a Senior Applied Research Scientist in Bioinformatics to lead innovative research programs and develop computational frameworks that drive biological discovery. 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 Skills • 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 • 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 Benefits • Equity • Benefits Company Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1418 in 2025, 1356 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job