GenBio AI

About the Company

GenBio.AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing the world's first AI-driven Digital Organism, an integrated system of multiscale foundation models for predicting, simulating, and programming biology at all levels.

Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology.

Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU, MBZUAI, WIS, alongside prominent financial investors.

GenBio AI, a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.

Listed Jobs

Company Name

GenBio AI

Job Title

Research Engineer Intern

Job Description

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact



Qualification:

Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States)
A strong coder with excellent skills in C/C++ and Python
Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc
Have a solid understanding of GPU, CPU, or other AI accelerator architectures
Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters)
Have experience improving ML accuracy using low-precision formats
Have 1+ years of relevant industry experience
Derive a great deal of satisfaction from every percentage point of performance improvement
Have experience writing and optimizing compute kernels using CUDA or similar languages



Nice to Have:

Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems
Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis
Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks
Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN)
Knowledge of performance profiling and optimization tools for HPC and deep learning



Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Paris, France

Hybrid

20-03-2025

Company Name

GenBio AI

Job Title

Research Scientist (AI) - Sequence

Job Description

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Requirements

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, or a related technical field
Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as PyTorch, JAX, or Tensorflow with an interest in generative models, graph neural networks, or large-scale deep learning applications
A strong theoretical foundation (probabilistic models, statistics, optimization, graph algorithms, linear algebra) with experience building models ground up
A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment)
Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others



Qualifications

3+ years of post-PhD experience in an industry or postdoc role
Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research)
Hands-on prior experience working at the intersection of AI and Biology
Experience in large-scale distributed training and inference, ML on accelerators



Preferred Qualifications

Experience with genomics, transcriptomics, or proteomics data, particularly functional assays (e.g. ATAC, CAGE, Hi-C, …)
Experience with complex data types, including multi-omics and health data (EHRs)
Familiarity with public data repositories (NCBI, ENSEMBL, ENCODE, TCGA, UK Biobank) and experience curating datasets to answer specific scientific questions
Experience with methods development for afore-mentioned data types
Experience with multimodal or multiscale models (even in other domains, e.g. remote sensing, medical imaging)
Deep knowledge of one or more of the following: transformers, convolutional networks, discrete diffusion models, self-supervised learning, and co-embedding approaches



Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Paris, France

On site

20-03-2025

Company Name

GenBio AI

Job Title

Research Scientist Intern

Job Description

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models



Qualification:

M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
Familiarity with software engineering best practices (version control, documentation, etc)



Nice to Have:

3 year PhD student and above
Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
Hands-on experience working at the intersection of AI and Biology
Experience in large-scale distributed training and inference
Open-source contributions, especially if used by others



Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Paris, France

Hybrid

21-03-2025

Company Name

GenBio AI

Job Title

Research Scientist (AI) - Interactome

Job Description

Genbio. AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing foundation models (FM) for biology.

We aim to train transformative FMs on pan-modal biological data at all levels. Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology.

Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU and Stanford, alongside prominent financial investors.

Our management team boasts strong technical and managerial backgrounds, hailing from top academic institutions in the US and France, including CMU, ENS, L’X, and Inria, as well as leading tech companies like Isomorphic and Meta. Additionally, our advisory board features Nobel Prize Laureates in Chemistry, Medicine, and Economics, Turing Award Laureates, and senior policymakers from the US and UK.

GenBio AI a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.

Job Requirements

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up
A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment)
Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others



Qualifications

3+ years of post-PhD experience in an industry or postdoc role
Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research)
Hands-on prior experience working at the intersection of AI and Biology
Experience in large-scale distributed training and inference, ML on accelerators



Preferred Qualifications

Prior experience working with diverse biological datasets, including but not limited to bulk/single transcriptomics (e.g., RNA-Seq), epigenetic (e.g., ATAC/ChIP-Seq), proteomics/phosphoproteomics (e.g., mass-spec), and genetics (e.g., GWAS) datasets
Familiarity with diverse biological networks, including but not limited to protein-protein interaction, gene-gene expression, and TF-Target Gene regulatory networks
Prior experience developing algorithms for network/systems biology (e.g., network construction/inference, clustering, embedding, etc)
Familiarity with Graph ML frameworks, such as Pytorch Geometric, Deep Graph Library (DGL), and Nvidia RAPIDS (cuGraph/cuML)
Hands-on experience with geometric deep learning models such as Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT)
Familiarity with traditional (e.g., TransE, RotatE, etc.) and deep (ULTRA) representation learning algorithms for large knowledge graphs



Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Paris, France

On site

25-03-2025