NVIDIA is seeking a Senior Alliance Manager for single-cell and multiscale biology to drive engagements, develop partnerships, and lead our strategy and its execution with developer communities and partners. We are interested in finding global authorities and leaders at the intersection of biology and AI who can drive NVIDIA's platform and leverage deep connections in the ecosystem to ensure NVIDIA is positioned to address the most exciting and challenging problems in the field.
In this global role, you will work directly at the intersection of our product and engineering leadership and external partners, building a robust ecosystem and community around NVIDIA's efforts in multiscale biology and driving high-value strategic partnerships. Your deep subject matter expertise and ecosystem knowledge will be instrumental in developing technical, product, and go-to-market strategies for NVIDIA drug discovery, working closely with each team to ensure we deliver critical technologies to this fast-paced and rapidly developing field.
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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.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.