About the Role
Join NVIDIA as a Research Scientist to revolutionize healthcare and accelerate drug discovery using cutting-edge GPU technology. This role offers a unique opportunity to apply your expertise in a fast-paced, collaborative environment, developing tools that redefine possibilities in drug discovery and virtual cell research.
Responsibilities
- Build models and datasets connecting early drug discovery to the clinic, including drug perturbation prediction, clinical translatability, patient stratification, and digital twins.
- Design benchmarks and evaluation methods for agentic systems in this domain, and characterize where current LLMs underperform.
- Publish original research and release open-source software.
- Collaborate with external research leaders in digital biology.
- Partner with research and engineering teams across NVIDIA to move research into products and services.
Requirements
- BS/MS or PhD in a quantitative field (computational biology, computer science, computational chemistry, physics, mathematics) or equivalent experience.
- Publication record in digital biology, ideally with clinical applications.
- 5+ years of experience building and training machine learning models at scale, along with supporting compute infrastructure.
- Proficiency with modern ML frameworks such as PyTorch or JAX.
- Fluency with the statistical foundations of the work (causal inference, experimental design, or clinical biostatistics).
- Ability to learn from and teach others to stay current with field developments and tools.
- Ability to work collaboratively in a tight-knit team environment.
Skills
- Machine learning
- PyTorch
- JAX
- Causal inference
- Experimental design
- Clinical biostatistics
- Open-source development
Location
- Remote
Work Type
- Full-time
Experience Level
- 5+ years
Education Level
- BS/MS or PhD
Salary/Compensations
- 168,000 USD - 264,500 USD
Benefits
- Equity
- Generous benefits package
About the Company
- NVIDIA is at the forefront of accelerated computing, driving innovation in computer graphics and artificial intelligence.
- NVIDIA leverages its legacy to revolutionize digital biology and accelerate drug discovery.
- NVIDIA's cutting-edge GPU technology serves as the computational engine for groundbreaking research.
- NVIDIA is considered one of the technology world's most desirable employers.
- NVIDIA has forward-thinking and hardworking people.
- NVIDIA's exclusive engineering teams are rapidly growing due to unprecedented growth.
Equal Opportunity
- NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer.
- NVIDIA values diversity and does not discriminate 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.
