Senior Applied Research Scientist, Multiscale Biology

NVIDIA is using the power of high-performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission!
 

In this role, you will join a team at the intersection of biology and computer science, working alongside industry and academic partners to advance groundbreaking digital biology research by developing next-generation technological solutions. Apply your expertise in engineering biology through algorithms and tools for genes, tissues, organisms, and populations. Your core mission is to identify technology bottlenecks in multiscale biology and invent novel applied solutions that unlock better biological discovery and understanding. You will work as a technical research investigator, partnering with software engineers, data scientists, and product teams to envision and realize tools and infrastructures that redefine digital biology!
 

What You'll Be Doing:

• Conduct collaborative applied research in multiscale biology using deep learning and high-performance computing to identify critical biological challenges and experimental limitations.

• Work across disciplines with biologists, chemists, and machine learning scientists to tackle complex biological problems.

• Develop and optimize algorithms, software tools, and machine learning models for applications such as large scale genomics or proteomics analysis using NVIDIA's platform.

• Disseminate work demonstrating the technological impact of new capabilities on advancing biological research via open source releases and publications.

• Engage and collaborate with leaders with a point of view in industry and academia to promote NVIDIA's Digital Biology solutions.

What We Need To See:

• PhD or equivalent experience

• 5+ years of experience in biology, computer science, data science, physics, chemistry, mathematics, or a related field.

• Proven ability to build and manage relationships with the ecosystem of scientific partners in industry and academia.

• Experience with scaled computing, such as high-performance computing, parallel programming, and GPU acceleration applied to omics data at scale.

• Superb communication and collaboration skills, with the ability to work effectively in multi-functional teams.

• Deep familiarity with experimental biology and assay design, coupled with strong computational, algorithmic, or software engineering skills.

• A commitment and contribute to innovation and impact in digital biology and drug discovery.

Ways To Stand Out From The Crowd:

• Scientific track record developing and implementing technologies for biological data learning or analysis (e.g., imaging analysis, simulation frameworks, large-scale data integration, machine learning biological data) with NVIDIA's GPU and AI technologies, such as CUDA, cuDNN, and TensorRT.

• Track record of building impactful tools, platforms, and open-source software for life sciences.

• Experience in deploying research projects as open-source software and contributing to scientific communities.

• Scientific experience in functional genomics.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until October 20, 2025.

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.