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Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2026

at Nvidia

Back to all Data Science / AI / ML jobs
N
Industry not specified

Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2026

at Nvidia

InternshipNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
$20 – $71 USD

Currency: $ (USD)

City
San Francisco
Country
United States

Join NVIDIA as an Applied Deep Learning Scientist Intern focused on Bio Foundation Models, contributing to research and development in bio foundation models for genomics, protein structure, and human genetics. You will prototype and build deep learning models for genomics and related data, collaborate with AI infrastructure and biology teams, and help translate research into potential productizable solutions. The role covers developing models with applications in drug discovery and personalized medicine, leveraging diffusion/transformer architectures and bioinformatics tools. This internship offers hands-on experience in cutting-edge AI for digital biology at a leading tech company.

NVIDIA is harnessing the power of high-performance computing and AI to accelerate advancements in digital biology, genomics, and human genetics. We are looking for passionate and talented individuals to help drive our mission forward by developing bio foundation models that can redefine the understanding of biological systems.

As an Applied Deep Learning Scientist Intern focused on Bio Foundation Models, you will join a pioneering research and development team, collaborating with industry and academic partners. This role offers the unique opportunity to research, develop, and implement AI algorithms that span across genomics, protein structure, and human genetics, while also contributing to productizing this innovative work.

What you will be doing:

  • Prototype and build deep learning models for genomics, human genetics, and epigenomic data and design.

  • Collaborate with cross-functional teams in AI infrastructure and biological research.

  • Develop bio foundation models with applications in drug discovery, personalized medicine, and functional genomics.

What we need to see:

  • Pursuing a MS or PhD in a quantitative field such as Computational Biology, Genomics, AI, Computer Science, Physics, or Mathematics

  • Expertise in deep learning, machine learning, and bioinformatics tools.

  • Experience with Python and relevant libraries (NumPy, Pandas, Matplotlib) for data analysis, and deep learning frameworks like PyTorch or TensorFlow.

  • Knowledge in genomics, human genetics, and/or processing of biological data.

  • Strong communication skills, highly organized, self-motivated, and team-oriented.

Ways to stand out from the crowd:

  • Experience in the development of bio foundation models or open-source contributions in the bioinformatics field.

  • Familiarity with diffusion models, transformer-based models, and advanced AI algorithms.

  • Experience in developing models for the analysis of genetic data or functional genomics.

  • A relevant publication history or conference presentations in the field of bioinformatics or computational biology.

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!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until February 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2026

at Nvidia

Back to all Data Science / AI / ML jobs
N
Industry not specified

Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2026

at Nvidia

InternshipNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
$20 – $71 USD

Currency: $ (USD)

City
San Francisco
Country
United States

Join NVIDIA as an Applied Deep Learning Scientist Intern focused on Bio Foundation Models, contributing to research and development in bio foundation models for genomics, protein structure, and human genetics. You will prototype and build deep learning models for genomics and related data, collaborate with AI infrastructure and biology teams, and help translate research into potential productizable solutions. The role covers developing models with applications in drug discovery and personalized medicine, leveraging diffusion/transformer architectures and bioinformatics tools. This internship offers hands-on experience in cutting-edge AI for digital biology at a leading tech company.

NVIDIA is harnessing the power of high-performance computing and AI to accelerate advancements in digital biology, genomics, and human genetics. We are looking for passionate and talented individuals to help drive our mission forward by developing bio foundation models that can redefine the understanding of biological systems.

As an Applied Deep Learning Scientist Intern focused on Bio Foundation Models, you will join a pioneering research and development team, collaborating with industry and academic partners. This role offers the unique opportunity to research, develop, and implement AI algorithms that span across genomics, protein structure, and human genetics, while also contributing to productizing this innovative work.

What you will be doing:

  • Prototype and build deep learning models for genomics, human genetics, and epigenomic data and design.

  • Collaborate with cross-functional teams in AI infrastructure and biological research.

  • Develop bio foundation models with applications in drug discovery, personalized medicine, and functional genomics.

What we need to see:

  • Pursuing a MS or PhD in a quantitative field such as Computational Biology, Genomics, AI, Computer Science, Physics, or Mathematics

  • Expertise in deep learning, machine learning, and bioinformatics tools.

  • Experience with Python and relevant libraries (NumPy, Pandas, Matplotlib) for data analysis, and deep learning frameworks like PyTorch or TensorFlow.

  • Knowledge in genomics, human genetics, and/or processing of biological data.

  • Strong communication skills, highly organized, self-motivated, and team-oriented.

Ways to stand out from the crowd:

  • Experience in the development of bio foundation models or open-source contributions in the bioinformatics field.

  • Familiarity with diffusion models, transformer-based models, and advanced AI algorithms.

  • Experience in developing models for the analysis of genetic data or functional genomics.

  • A relevant publication history or conference presentations in the field of bioinformatics or computational biology.

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!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until February 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

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