Research Scientist, AI for Clinical Translatability

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🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $168k - $264.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build models and datasets connecting early drug discovery to clinical applications, including drug perturbation prediction, clinical translatability, patient stratification, and digital twins • Design benchmarks and evaluation methods for agentic systems in digital biology and characterize current LLM shortcomings • Publish original research and release open-source software • Collaborate with external research leaders in digital biology • Partner with NVIDIA research and engineering teams to move research into products and services

🎯 Requirements

• Bachelor's or master's degree or PhD in a quantitative field such as computational biology, computer science, computational chemistry, physics, or 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 and supporting compute infrastructure • Proficiency with modern machine learning frameworks such as PyTorch or JAX • Fluency in statistical foundations including causal inference, experimental design, or clinical biostatistics • Ability to learn from and teach others about the latest developments and tools • Ability to work effectively in a tight-knit team environment • Track record of state-of-the-art methods development in the clinical domain • Experience with clinical trial data, electronic health records, or regulatory science • Rigor in evaluation, including temporal validation, benchmark design, data leakage and easy inference assessment, and distribution-shift characterization • Background in open-source development

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits