Nvidia Senior Alliance Manager Multiscale Biology 

United States, Texas 

501866943

What You'll Be Doing:

• Lead strategic relationships with key opinion leaders in applying AI to foundation modeling in genomics and biology, building a network of influences and early adopters.

• Understand the constantly evolving landscape in the field, tracking engagements globally.

• Work with the NVIDIA global business development and account teams to oversee strategic accounts.

• Deeply understand the roadmap. Resolve and distill feature requests into actionable project engineering steering and product requirements capturing.

• Develop and implement strategies to drive business growth in the Industrial sector by maximizing NVIDIA’s technology solutions, identifying new opportunities, and building strategic partnerships.

• Lead internal and external project engagement with cross-functional teams across Product, Engineering, and Applied Research

• Speak at relevant scientific, technical, and industry conferences.

• Drive early adoption of new products and support launch and go-to-market activities.

What We Need To See:

• Masters or equivalent experience in computational and single-cell biology, genetics, bioinformatics, or a closely related field.

• 12+ years of experience in deep learning, artificial intelligence, and machine learning.

• 4+ years of experience in strategic leadership and partnerships in the life sciences.

• Excellent understanding of the critical methodologies of computational drug discovery.

• Hands-on experience in scientific computing and/or high-performance computing and software development.

• Outstanding communication track record, demonstrating your ability to communicate and explain complex topics to diverse audiences. Exceptional interpersonal skills, with an ability to work well across all functional areas (engineering, sales, marketing, executive) internally and externally.

Ways To Stand Out From The Crowd:

• PhD in a relevant field, or MBA.

• Validated expertise in applying machine learning, deep learning, and data science in the life sciences, particularly in foundation modeling for genomics.

• Background in software development and distributed computing. Bonus points for GPU and CUDA programming experience!

• Driven to impact healthcare through the use of new technologies positively.

• Driven to build new markets by building productive, substantial relationships across this ecosystem.