What are the responsibilities and job description for the Member of Technical Staff, Vibe Labs position at Generate:Biomedicines?
Generate Vibe Labs is a frontier lab within Generate:Biomedicines, designed for focused, entrepreneurial teams pushing the edges of generative biology, AI, and therapeutic engineering to create new capabilities in sync with the Generate Platform. Vibe Labs operates like a startup at the edge of the platform, small, experimental, and fast-moving, designed for builders who thrive in ambiguity and want to turn bold scientific ideas into high-impact medicines and technologies.
The Role:
As a Member of Technical Staff, you will work hands-on to build AI systems that support scientific discovery. You will contribute to the development of autonomous and semi-autonomous AI tools that generate molecular designs, propose hypotheses, interact with experimental data, and improve through experimental feedback.
You’ll collaborate closely with fellow scientists, engineers, and experimental teams to prototype and iterate on agent-based systems, helping translate scientific problems into AI discovery pipelines.
If you’re excited about applying AI to real scientific questions - and orchestrating models to scale up the ideation, design, and verification cycle in meaningful ways - this role offers the opportunity to grow at the frontier of AI x science.
Here's how you will contribute:
Build and Improve Science Discovery Systems
Contribute to the design and implementation of scalable, autonomous, and results-driven AI systems that integrate molecular design with experimental feedback loops. Be familiar with modern AI-assisted development practices. Build and test research prototypes to explore new agent capabilities and orchestration patterns.
Support Experimental Verification Workflows
Work with cross-functional teams to develop workflows where AI systems assist scientists in refining and verifying designs and hypotheses, enabling more efficient iteration. Translate high-level scientific goals into executable software pipelines that autonomously navigate the design space.
Contribute to Knowledge Sharing
Document findings, share learnings internally, and contribute to technical reports, open-source efforts, or publications when appropriate.
The Ideal Candidate will have:
A Builder Mindset
You are comfortable deploying full-stack AI services and engaging in rapid, iterative exploration. Leverage next-generation AI coding tools to accelerate ideation and validation velocity. Adaptability to new concepts and frameworks. You can quickly adapt to new concepts, tools, and frameworks, and apply them to solve problems.
Strong ML Foundations
Solid understanding of modern machine learning methods (e.g., deep learning, generative models, foundation models). Experience training, fine-tuning, or evaluating ML systems through research projects, internships, open-source work, or industry experience. Publications are valued but not required.
AI × Science Fluency
Bachelor’s or advanced degree in a scientific or quantitative field (e.g., Biology, Chemistry, Physics, Computer Science, Engineering, or related). Exposure to molecular modeling, protein design, small molecules, or computational biology is a plus — but strong ML candidates motivated to learn biology are encouraged to apply.
Experiences In Building Agent Systems
Hands-on experience building agent systems and familiarity with common design patterns. Familiarity with agent evaluation frameworks. Experience working with cloud platforms (GCP, AWS, Azure), and/or alternative serverless databases and distributed computing frameworks.
About Generate:Biomedicines
We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines.
Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation.
At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors.
Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.
Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.
Per Year Salary Range
$154,000—$231,000 USD
The Role:
As a Member of Technical Staff, you will work hands-on to build AI systems that support scientific discovery. You will contribute to the development of autonomous and semi-autonomous AI tools that generate molecular designs, propose hypotheses, interact with experimental data, and improve through experimental feedback.
You’ll collaborate closely with fellow scientists, engineers, and experimental teams to prototype and iterate on agent-based systems, helping translate scientific problems into AI discovery pipelines.
If you’re excited about applying AI to real scientific questions - and orchestrating models to scale up the ideation, design, and verification cycle in meaningful ways - this role offers the opportunity to grow at the frontier of AI x science.
Here's how you will contribute:
Build and Improve Science Discovery Systems
Contribute to the design and implementation of scalable, autonomous, and results-driven AI systems that integrate molecular design with experimental feedback loops. Be familiar with modern AI-assisted development practices. Build and test research prototypes to explore new agent capabilities and orchestration patterns.
Support Experimental Verification Workflows
Work with cross-functional teams to develop workflows where AI systems assist scientists in refining and verifying designs and hypotheses, enabling more efficient iteration. Translate high-level scientific goals into executable software pipelines that autonomously navigate the design space.
Contribute to Knowledge Sharing
Document findings, share learnings internally, and contribute to technical reports, open-source efforts, or publications when appropriate.
The Ideal Candidate will have:
A Builder Mindset
You are comfortable deploying full-stack AI services and engaging in rapid, iterative exploration. Leverage next-generation AI coding tools to accelerate ideation and validation velocity. Adaptability to new concepts and frameworks. You can quickly adapt to new concepts, tools, and frameworks, and apply them to solve problems.
Strong ML Foundations
Solid understanding of modern machine learning methods (e.g., deep learning, generative models, foundation models). Experience training, fine-tuning, or evaluating ML systems through research projects, internships, open-source work, or industry experience. Publications are valued but not required.
AI × Science Fluency
Bachelor’s or advanced degree in a scientific or quantitative field (e.g., Biology, Chemistry, Physics, Computer Science, Engineering, or related). Exposure to molecular modeling, protein design, small molecules, or computational biology is a plus — but strong ML candidates motivated to learn biology are encouraged to apply.
Experiences In Building Agent Systems
Hands-on experience building agent systems and familiarity with common design patterns. Familiarity with agent evaluation frameworks. Experience working with cloud platforms (GCP, AWS, Azure), and/or alternative serverless databases and distributed computing frameworks.
About Generate:Biomedicines
We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines.
Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation.
At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors.
Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.
Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.
Per Year Salary Range
$154,000—$231,000 USD
Salary : $154,000 - $231,000