GenBio AI

4 Jobs

40 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, 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: Deep Learning Engineer
Job Description: **Job Title:** Deep Learning Engineer **Role Summary:** Develop and deploy large-scale foundation models for Generative AI in biomedicine, integrating research into production systems to advance biology and healthcare solutions. **Expectations:** Deliver scalable AI systems for model training, adaptation, and inference; ensure code quality and optimization for high-performance computing environments. **Key Responsibilities:** - Design, optimize, and maintain software for end-to-end foundation model development (data pipeline, pre-training, fine-tuning, serving). - Build scalable codebases for distributed training, evaluation, and production deployment. - Collaborate with data engineers and researchers to integrate models into production workflows. - Implement software engineering best practices (testing, documentation, code reviews). - Develop robust back-end systems (APIs, databases) for complex AI workflows. - Ensure scalability, performance, and reliability of AI infrastructure. **Required Skills:** - Proficiency in Python, JavaScript, PyTorch, HuggingFace Transformers, DeepSpeed. - Experience with GPU acceleration (CUDA, cuDNN) and distributed computing (Kubernetes, SLURM). - Expertise in ML platforms (Kubeflow, Argo, Airflow) and back-end frameworks (Django, Flask). - Database management (PostgreSQL, MongoDB) and cloud (AWS, GCP). - Strong software engineering practices (version control, CI/CD, RESTful APIs). **Required Education & Certifications:** - Bachelor’s/Master’s in Computer Science, Engineering, or related field. - Preferred: PhD; prior ML/life sciences experience. - Demonstrated ML ops and deep learning pipeline experience. - Familiarity with bioinformatics or biological data challenges is advantageous.

Palo alto, United states

On site

07-09-2025

Company Name: GenBio AI
Job Title: UI/ UX Designer
Job Description: Job title: UI/UX Designer Role Summary: Design, develop, and refine user interfaces for GenBio AI’s foundation model suite, ensuring usability for non‑technical experts. Collaborate with product, data, and research teams to shape features, maintain scalable codebases, and integrate GPU‑accelerated deep‑learning workflows. Expactations: - Deliver intuitive, high‑quality interfaces that enable seamless use of large biological models. - Partner with cross‑functional teams to translate product and scientific requirements into functional designs. - Maintain code quality, performance, and scalability through rigorous testing and review. - Continuously iterate designs based on user feedback and evolving scientific needs. Key Responsibilities: - Design and iterate UI components for foundation model products and training modules. - Advise product team on frontend strategy for non‑technical audiences. - Build and maintain reusable, efficient codebases for model training, adaptation, evaluation, and inference. - Collaborate with data engineers and research scientists to identify new feature requirements. - Engage biological scientists to refine product features and usability. - Ensure robust testing, code reviews, and performance optimization. - Monitor and update documentation and design guidelines. Required Skills: - Expertise in UI/UX design for complex scientific/software products. - Proficiency in JavaScript, Python, modern web frameworks (React, Vue, etc.). - Experience with GPU tools (CUDA, cuDNN), deep‑learning frameworks (PyTorch, HuggingFace Transformers, Megatron‑LM/DeepSpeed). - Familiarity with resource schedulers (SLURM), container orchestration (Kubernetes). - Back‑end knowledge: Django, Flask, Node.js; databases: PostgreSQL, MongoDB. - Version control (Git), CI/CD pipelines, RESTful APIs, authentication, deployment workflows. - Understanding of FAIR data principles, biological data types, and bioinformatics tooling. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Life sciences or healthcare experience is a plus. - No mandatory certifications required, but knowledge of relevant AI/ML and bioinformatics tools is preferred.

Palo alto, United states

On site

08-09-2025

Company Name: GenBio AI
Job Title: Full Stack Engineer
Job Description: Job Title: Full Stack Engineer Role Summary: Design, develop, and deploy scalable, responsive web applications that integrate frontend interfaces with backend services, APIs, and AI/ML model serving infrastructure. Work collaboratively with product, design, and AI/ML teams to deliver seamless user experiences while maintaining high performance, accessibility, and reliability. Expactations: - Deliver production‑grade web applications on time and within scope. - Maintain code quality through best practices, coding standards, and automated testing. - Contribute to shared component libraries and internal design systems. - Continuously improve development workflows, observability, and system performance. Key Responsibilities: - Build and maintain modern full‑stack web applications using JavaScript/TypeScript, Python, and frameworks such as React, FastAPI, and Node.js. - Translate user flows and designs into robust, scalable code. - Develop and expose RESTful/GraphQL APIs and data pipelines. - Integrate front‑end components with backend APIs and AI/ML model serving systems. - Ensure cross‑browser/device compatibility and accessibility compliance. - Create and maintain CI/CD pipelines, Git workflows, and agile practices. - Deploy and scale applications in cloud environments (AWS, GCP, Azure). - Containerize services with Docker and orchestrate with Kubernetes. - Monitor system performance, observability, and reliability; troubleshoot and optimize. Required Skills: - 4+ years of full‑stack or backend/frontend engineering experience. - Strong proficiency in JavaScript/TypeScript, Python, React, FastAPI, Node.js. - Experience building, testing, and deploying production‑grade web apps. - Proficient in HTML/CSS (including SCSS) and responsive UI development. - Skilled in RESTful and/or GraphQL API design and integration. - Familiarity with front‑end testing tools, animation libraries, or data visualization frameworks. - Experience with CI/CD pipelines, Git workflows, and agile development. - Cloud deployment experience (AWS, GCP, Azure). - Containerization (Docker) and orchestration (Kubernetes) knowledge. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Palo alto, United states

On site

Junior

24-09-2025

Company Name: GenBio AI
Job Title: Research Scientist (AI) - Science Team
Job Description: **Job Title:** Research Scientist (AI) **Role Summary:** Conduct advanced research at the intersection of AI and biology, focusing on generative models to drive biomedical innovation. **Expectations:** Develop and apply AI/ML models to integrate and analyze biological data across modalities (sequence, structure, single-cell, imaging, phenotype) for transformative healthcare solutions. **Key Responsibilities:** - Lead development and application of biological foundation models across modalities. - Collaborate with internal/external partners to advance model capabilities and generate actionable insights. - Design experiments using pan-modal datasets (e.g., single-cell, spatial transcriptomics, multi-omics). - Identify high-impact research opportunities and validate model-driven discoveries. - Mentor junior researchers and publish findings in top-tier journals/conferences. **Required Skills:** - Expertise in PyTorch, JAX, or TensorFlow for deep learning, preferably with generative models or graph neural networks. - Strong understanding of biological data modalities (single-cell RNA-seq, epigenetics, biomedical imaging, etc.). - Track record of published research in AI/ML (e.g., NeurIPS, ICML) or core biology (e.g., Nature, Science). - Proficiency in software engineering practices (version control, documentation). **Required Education & Certifications:** - MSc/PhD (or equivalent) in Computational Biology, Machine Learning, Bioinformatics, or related field. - Proven research experience in AI for biology (e.g., publications).