Senior Applied Research Scientist, Multiscale Biology

Details

NVIDIA is using high-performance computing and AI to accelerate digital biology. This role sits at the intersection of biology and computer science, collaborating with industry and academic partners to advance digital biology research by developing next-generation technological solutions. You will apply engineering biology through algorithms and tools for genes, tissues, organisms, and populations, identifying technology bottlenecks in multiscale biology and inventing applied solutions that enable biological discovery. You will partner with software engineers, data scientists, and product teams to design tools and infrastructure that advance digital biology.

Responsibilities

• 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 technological impact via open-source releases and publications.
• Engage and collaborate with industry and academic leaders to promote NVIDIA's Digital Biology solutions.

Requirements

• 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 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.
• Strong communication and collaboration skills to work effectively in cross-functional teams.
• Deep familiarity with experimental biology and assay design, coupled with strong computational, algorithmic, or software engineering skills.
• Commitment to innovation and impact in digital biology and drug discovery.

Ways to Stand Out

• 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 for biological data) using 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 deploying research projects as open-source software and contributing to scientific communities.
• Scientific experience in functional genomics.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and 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. You will also be eligible for equity and benefits.

Other Information

Applications for this job will be accepted at least until October 20, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate 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.