Job Specifications
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.
Key Responsibilities
Design, develop, optimize, and maintain user interfaces and software systems that will enable users to fully utilize the suite of foundation models developed by GenBio AI
Work with the product team to plan and deploy our foundation model product and associated data and training modules
Advise the product team on all aspect related to the implementation of front end user friendly applications aimed at non technical experts
Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference
Collaborate closely with data engineers and research scientists to identify needs and determine new requirements
With the product team engage in close collaboration and discussion with our biological scientists users to determine features and enhancement needs to make the product successful
Ensure code quality, scalability, and performance through rigorous testing and code reviews
Qualifications
Bachelor's, Master's degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus
Experience in designing and executing user facing products for non technical experts
Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton)
Knowledge of the major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed
Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)
Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB)
Preferred Qualifications
Prior experience in an AI company working on front end issues
Experience with deep learning workflows
Knowledge of biological data types and challenges and experience with bioinformatics tools
Familiarity with version control systems like Git and CI/CD pipelines
Strong understanding of RESTful APIs, authentication, and deployment pipelines
Good knowledge of the FAIR data principles
Familiarity with machine learning workflows and biological datasets
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.
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,...
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