Pick a job to read the details

Tap any role on the left — its description and apply link will open here.

Vice President of Engineering

Genbio · Palo Alto, CA

Executive Palo Alto, CA Posted May 18, 2026

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

As our team scales, we are looking to bring on an experienced engineering leader to drive a culture of engineering excellence at our Palo Alto office. Reporting into our CTO, you will lead diverse teams of engineers with responsibilities in both product and infrastructure.

Responsibilities

Execution Velocity: drive a high-tempo shipping cadence, ensuring the team consistently delivers on product and engineering milestones.

Project Orchestration: Coordinate complex engineering efforts across teams, identifying critical path dependencies and removing blockers to keep projects on track.

Talent Development: Actively mentor junior and mid-level engineers, providing the coaching and feedback loops necessary to maximize their growth and technical output.

Research-to-Production: Build the bridge between research and engineering, operationalizing experimental foundation models into robust, scalable production systems.

Engineering Culture: Instill a culture of rigor, velocity, and code quality; define the standards for testing, CI/CD, and developer experience.

Cross-Functional Leadership: Partner closely with the C-level leadership team and research leads to align technical deliverables with the company’s scientific milestones and product vision.

Qualifications

Leadership Experience: 10+ years of engineering experience with at least 5 years in senior leadership roles, managing managers and high performing engineering teams.

Domain Expertise: Experience with foundation models and complex generative AI products. Strong architectural fluency in modern AI infrastructure

Strategic Execution: Demonstrated ability to transition complex technologies from an R&D phase to a commercial-grade platform.

Scale & Infrastructure: Deep technical understanding of high-performance computing, GPU cluster optimization, and the architectural challenges involved in training and serving foundation models at scale.

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

High Performance Computing (HPC) Engineer

Genbio · Palo Alto, CA

Apply now

Engineering Palo Alto, CA Posted May 18, 2026

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 exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, 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

GPU Cluster Management: Design, deploy, and maintain high-performance GPU clusters, ensuring their stability, reliability, and scalability. Monitor and manage cluster resources to maximize utilization and efficiency.

Distributed/Parallel Training: Implement distributed computing techniques to enable parallel training of large deep learning models across multiple GPUs and nodes. Optimize data distribution and synchronization to achieve faster convergence and reduced training times.

Performance Optimization: Fine-tune GPU clusters and deep learning frameworks to achieve optimal performance for specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.

Deep Learning Framework Integration: Collaborate with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.

Scalability and Resource Management: Ensure that the GPU clusters can scale effectively to handle increasing computational demands. Develop resource management strategies to prioritize and allocate computing resources based on project requirements.

Troubleshooting and Support: Troubleshoot and resolve issues related to GPU clusters, distributed training, and performance anomalies. Provide technical support to users and resolve technical challenges efficiently.

Documentation: Create and maintain documentation related to GPU cluster configuration, distributed training workflows, and best practices to ensure knowledge sharing and seamless onboarding of new team members.

Job Requirements:

Master’s or Ph.D. degree in computer science, or a related field with a focus on High-Performance Computing, Distributed Systems, or Deep Learning.

2+ years proven experience in managing GPU clusters, including installation, configuration, and optimization.

Strong expertise in distributed deep learning and parallel training techniques.

Proficiency in popular deep learning frameworks like PyTorch, Megatron-LM, DeepSpeed, etc.

Programming skills in Python and experience with GPU-accelerated libraries (e.g., CUDA, cuDNN).

Knowledge of performance profiling and optimization tools for HPC and deep learning.

Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)

Strong background in distributed systems, cloud computing (AWS, GCP), and containerization (Docker, Kubernetes)

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

IT Support Specialist

Genbio · Palo Alto, CA

Apply now

Customer Support / Success Palo Alto, CA Posted Apr 24, 2026

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

As our team scales, we are looking for a highly skilled and motivated IT Specialist to join our Palo Alto office. Building large-scale foundation models and the AIDO framework requires a robust, secure, and high-performing technology infrastructure. In this role, you will manage and optimize our network, hardware, and systems, ensuring the reliability and security of the IT ecosystem that supports our cutting-edge AI research and development efforts globally.

Responsibilities

Network Management: Design, implement, and monitor secure network infrastructure across all office locations to support high-performance computing and resolve connectivity issues promptly.
System Administration: Manage Linux, Windows, and macOS server environments, overseeing the deployment of VMs and cloud services, alongside regular backups and disaster recovery planning.
Security Management: Enforce cybersecurity policies, conduct regular vulnerability assessments, and manage incident response to protect systems and sensitive data.
Technical Support: Manage the IT helpdesk to provide timely troubleshooting for hardware, software, and network issues while proactively establishing IT best practices.
Software Management: Configure and manage software applications and licenses, collaborating with development teams to deploy and optimize in-house solutions.
Hardware Management: Oversee the procurement, installation, and asset tracking of all IT equipment, continuously evaluating new technologies to enhance team productivity.
Project Management & Documentation: Lead cross-functional IT projects to align with business objectives, and maintain comprehensive documentation for system configurations, procedures, and policies.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field.
3+ years of experience in IT administration and support, preferably in a fast-paced startup environment.
Proficiency in managing Linux, Windows, and macOS systems, utilizing MDM solutions, particularly Jamf or JumpCloud.
Strong understanding of networking concepts (e.g., TCP/IP) and cybersecurity best practices, with hands-on experience deploying and managing security solutions like FortiNet VPN and firewalls.
Proven experience with cloud platforms, with a strong emphasis on Google Cloud Platform (GCP), alongside familiarity with AWS or Azure.
Extensive experience managing Google Workspace in a corporate environment, including writing automation scripts (e.g., integrating with HRIS/Payroll systems).
Hands-on experience with the administration of essential developer and productivity tools, including GitLab, Confluence, and Microsoft Office.
Proficient in configuring and using infrastructure monitoring and observability tools such as Grafana and ElasticSearch.
Excellent problem-solving, analytical, and interpersonal skills, with a proven ability to manage multiple tasks and IT projects simultaneously.

What We Offer

Competitive salary and benefits package.
Opportunity to work with a passionate and innovative team at the forefront of AI and biology.
Professional development and growth opportunities.

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Research Scientist Intern

Genbio · Abu Dhabi

Apply now

Research / Science Abu Dhabi Posted Apr 23, 2026

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Research Scientist Intern

Genbio · Paris

Apply now

Research / Science Paris Posted Apr 23, 2026

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Research Engineer Intern

Genbio · Abu Dhabi

Apply now

Engineering Abu Dhabi Posted Apr 23, 2026

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Research Engineer Intern

Genbio · Paris

Apply now

Engineering Paris Posted Apr 23, 2026

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Bioinformatics Data Engineer

Genbio · Abu Dhabi

Apply now

Data / ML / AI Abu Dhabi Posted Mar 13, 2026

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.

Responsibilities

Source & Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE,UniProt etc.) to support research and model development initiatives.

Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage.

Design & Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training.

Structure & Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines.

Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation.

Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation.

Ensure Data Quality & FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility.

Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation.

Knowledge Sharing & Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams.

Qualifications

Educational Background: Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences.

Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.).

Biological Tools: Familiar with Bioconda,Biopython,Bioconductor, samtools,bamtools,bcftools,gffutils etc.

Scripting & Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow).

Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker).

AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch).

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Head of Brand & Communications

Genbio · Palo Alto, CA

Apply now

Uncategorized Palo Alto, CA Posted Sep 2, 2025

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.

We’re seeking a Head of Communications who can combine strategic vision with hands-on execution to establish a cohesive brand and communicate our vision externally. You will be responsible for shaping and executing our communications strategy, leading high-level planning, driving brand visibility, managing PR efforts, and building demand across our target audiences. At this stage, you’ll be an individual contributor before having a supporting team on board, rolling up your sleeves to deliver campaigns, content, and programs, while also laying the groundwork for scalable marketing operations. You’ll also work with agents and manage external PR partners to amplify our voice in the market.

You will cover below area:

1.) Communications Strategy & Positioning

Develop and execute integrated marketing and communications strategies aligned with company goals.

Define and refine positioning, messaging, and brand voice to reflect our leadership in AI and biology.

Partner with leadership on corporate communications, announcements, and thought leadership visibility.

2. Media Relations & Public Relations

Collaborate with PR agencies and media partners to craft compelling narratives and secure high-impact coverage.

Manage press releases, interviews, and executive communications.

Support leadership visibility through speaking proposals, op-eds, and industry commentary.

3. Content & Thought Leadership

Partner with technical writers and scientists to translate complex AI/biotech concepts into accessible, inspiring content.

Create and manage high-quality content (blogs, articles, whitepapers, presentations, videos, and social media posts).

Maintain a consistent editorial calendar across LinkedIn, X, YouTube, and other platforms.

4. Brand & Messaging Consistency

Ensure brand cohesion across all digital channels, website copy, collateral, and internal communications.

Oversee website content, ensuring clarity, accuracy, and compelling storytelling.

Work closely with design and product teams to align visual and narrative identity.

5. Events & External Visibility

Organize and manage participation in conferences, panels, and webinars that strengthen our public presence.

Support event communications, including media materials, executive talking points, and follow-up content.

6. Cross-Functional Collaboration

Partner with leadership, engineering, and business development teams to ensure communication efforts align with company priorities.

Provide insights on market trends, competitor narratives, and industry media dynamics.

Support internal communications to maintain a unified company voice.

Qualifications

5+ years of relevant experience for “Communications Manager”; 7+ years of relevant experience for “Senior Communications Manager”; 10+ years of relevant experience for “Head of Communications”.

Relevant background in communications, marketing, public relations, or brand experience in tech, AI, or biotech.

Proven success in developing and executing integrated communications strategies.

Strong storytelling and writing skills; capable of articulating complex scientific and technical concepts clearly and engagingly.

Demonstrated experience managing PR agencies and media relationships.

Excellent written and verbal communication, project management, and collaboration skills.

Passion for technology, science, and innovation; thrives in a fast-paced, evolving environment.

Preferred Qualifications

Experience with corporate communications, executive visibility, and thought leadership campaigns.

Familiarity with WordPress (content management and performance optimization) and analytics tools.

Background in deep tech, AI, or SaaS communications.

Global marketing or cross-cultural communications experience.

Experience in early-stage companies and comfort operating independently with lean resources.

#LI-DNI

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Research Scientist Intern

Genbio · Palo Alto, CA

Apply now

Research / Science Palo Alto, CA Posted Jan 10, 2025

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Research Engineer Intern

Genbio · Palo Alto, CA

Apply now

Engineering Palo Alto, CA Posted Nov 22, 2024

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Accounting Manager

Genbio · Palo Alto, CA

Apply now

Finance / Accounting Palo Alto, CA Posted Nov 6, 2024

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 exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, 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.

We are seeking a skilled Accountant focusing on the US market who can also support our small team in Paris and UAE. This role is crucial to our financial operations and will ensure compliance with local and international accounting standards.

Key Responsibilities:

Manage all accounting operations including bookkeeping, accounts payable/receivable, general ledger, expense etc.

Handle monthly, quarterly, and annual closing processes.

Liaise with external accounting firm and tax CPA, oversee tax reporting and compliance for the US, France, and UAE offices.

Assist with the consolidation of financial statements for multiple entities.

Support the budgeting and forecasting processes.

Prepare and analyze financial reports, ensuring accuracy and compliance with US GAAP, as well as IFRS for our international operations.

Provide financial analysis and support for business decision-making.

Ensure compliance with local, state, and federal government reporting requirements and tax filings.

Stay updated on industry trends and regulations to ensure compliance and optimal financial practices.

Qualifications:

Bachelor’s degree in Accounting, Finance, or related field. CPA certification preferred.

Minimum of 3 years of accounting experience, strong understanding of US GAAP

Experience with international accounting and tax regulations or work with firms that cover international market, particularly in France and UAE.

Proficiency in accounting software (e.g., QuickBooks) Google workplace, and MS Office Suite.

Excellent analytical and problem-solving and interpersonal skills, strong attention to detail and organizational skills.

Ability to work independently and as part of a team in a fast-paced environment.

Preferred Skills:

Experience with financial consolidation for multiple entities.

Good understanding of IFRS

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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Ready to apply?

Apply to Genbio

Genbio

View all jobs →

Genbio

Vice President of Engineering

Responsibilities

Qualifications

High Performance Computing (HPC) Engineer

Job Description

Job Requirements:

IT Support Specialist

Responsibilities

Qualifications

What We Offer

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

Research Scientist Intern

Job Description:

Qualification:

Nice to Have:

Research Scientist Intern

Job Description:

Qualification:

Nice to Have:

Research Engineer Intern

Job Description:

Qualification:

Nice to Have:

Research Engineer Intern

Job Description:

Qualification:

Nice to Have:

Bioinformatics Data Engineer

Responsibilities

Qualifications

Head of Brand & Communications

1.) Communications Strategy & Positioning

2. Media Relations & Public Relations

3. Content & Thought Leadership

4. Brand & Messaging Consistency

5. Events & External Visibility

6. Cross-Functional Collaboration

Qualifications

Preferred Qualifications

Research Scientist Intern

Job Description:

Qualification:

Nice to Have:

Research Engineer Intern

Job Description:

Qualification:

Nice to Have:

Accounting Manager

Key Responsibilities:

Qualifications:

Preferred Skills:

Whoa — hold up

Don't be the 201st applicant.