Senior Alliance Manager – BioNeMo

🕒 May 12

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

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

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👔 Manager

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• Lead strategic relationships with key opinion leaders in the application of AI to early drug discovery and development, building a network of influences and early adopters. • Understand the constantly evolving landscape of drug discovery AI, tracking engagements globally. • Evangelize BioNeMo and generative AI for drug discovery on NVIDIA across the ecosystem. • Develop a community of adopters and developers of NVIDIA BioNeMo, participating in strategic events across the globe. • Host developer and customer evangelism events including meetups, hackathons, and lectures. • Speak at relevant scientific, technical, and industry conferences. • Discover high-impact problems NVIDIA can uniquely tackle to build new markets in biopharma. • Drive early adoption of new products and support launch and go-to-market activities. • Collect and synthesize market feedback and product requirements, and assist in driving technical and product strategy.

🎯 Requirements

• Masters, Ph.D., or equivalent experience in chemistry, biophysics, computational biology, or closely related life-sciences domain expertise. • 8 or more years of experience in scientific computing and machine learning for life sciences. • 4 or more years of experience working directly with developers or managing strategic partnerships in the life sciences. • Excellent understanding of the key methodologies of computational drug discovery. • Proven experience working with modern machine learning, deep learning, and generative AI as applied to problems in healthcare and biopharma. • Hands-on experience in scientific computing and/or high-performance computing. • Outstanding communication track record, demonstrating your ability to communicate and explain complex topics to diverse audiences.

🏖️ Benefits

• Eligible for equity • Health insurance