For decades, NVIDIA has been at the forefront of accelerated computing, driving innovation in fields ranging from computer graphics to artificial intelligence. Today, were leveraging this legacy to revolutionize digital biology and to accelerate drug discovery. Our cutting-edge GPU technology serves as the computational engine for groundbreaking research, enabling scientists to model complex biological systems, analyze and harmonize massive datasets, and accelerate the drug discovery process.Were looking for a Senior Research Scientist who shares our vision for transforming healthcare. This is a unique opportunity to apply your expertise in a fast-paced, collaborative environment where youll be instrumental in developing the tools that will redefine what is possible in drug discovery, virtual cell, and beyond. As part of our team, youll work alongside other researchers, developers, and experts in the field to tackle some of the most challenging and impactful problems of our time.What youll be doing:<ul><li>Developing, implementing, benchmarking, and accelerating multimodal models in the field of digital biology, drug discovery, virtual cell, and virtual patient</li><li>Developing large-scale training and inference methods for foundation models in the field</li><li>Publishing original research and releasing open source software</li><li>Collaborating with external research leaders in the field of digital biology</li><li>Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services.</li><li>Mentoring emerging researchers</li></ul>What we need to see:<ul><li>Advanced degree in a quantitative field such as Computational Biology, Computer Science, Computational Chemistry, Physics, Mathematics, or equivalent experience</li><li>5+ years of relevant experience with hands-on training and evaluation of models in digital biology </li><li>Publication record in the computational biology domain</li><li>Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.</li><li>Proficiency in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp</li><li>Ability to learn from and teach others to keep up to speed on the latest developments and tools in the field.</li><li>Ability to work together in a tight-knit team environment.</li></ul>Ways to stand out from the crowd:<ul><li>Experience developing novel methods in machine learning</li><li>Strong engineering skills</li><li>Background in open source development</li></ul>With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industrys most desirable employers. We are an equal opportunity employer and value diversity at our company. We welcome applicants from all backgrounds and identities and strongly encourage people from historically underrepresented groups to apply. We have some of the most forward-thinking, resourceful and talented people in the world working with us and our engineering teams are growing fast in some of the most progressive fields: Digital Biology, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science &amp; parallel computing? If so, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until November 4, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.