Academic Coordinator (AI for Biology)

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 we prepare to launch our products to a wider range of users across academia, we are looking for a motivated external facing coordinator to manage the release and ensure the launch is a success. The person in this position will work with leading academic groups to ensure that the virtual cell lab is appropriate for state of the art biological simulation and to gather and act upon feedback to further refine and improve the product.

Responsibilities

• Partner selection and onboarding: Serve as the primary point of contact for academic partners, play a key role in selecting which ones to work with, lead the end-to-end onboarding process and technical training for the AIDO platform
• Engagement: Be involved in the specific way the partners use the platform, understand their needs and the gaps in the offering. Synthesize user experiences and technical hurdles from academic labs into actionable product requirements for the engineering team
• Program Management: Manage the operational lifecycle of pilot programs, including timeline tracking, access provisioning, utilization of compute, user activity and success metric reporting
• Community Engagement: Coordinate and host scientific workshops, hackathons, and webinars to foster a collaborative user community around the platform
• Strategic Support: Assist in identifying high-value academic labs and collaborative opportunities that align with GenBio’s research roadmap
  
  
  
  

Qualifications

• Educational Background: Ph.D. or Master’s degree in Computational Biology, Bioinformatics, or a related Life Sciences field; laboratory experience working with cell and molecular methods is a plus; ability to speak the language of scientists is essential
• Familiarity with Bioinformatics software packages: Knowledge and prior use of software packages, and basic scripting such as in Python and SQL, for bioinformatics analysis including packages covering one or more of the following areas: genomics, structure, chemistry, clinical data, and imaging
• Professional Experience: Experience in academic relations, technical program management, or customer success within a biotech or deep-tech environment
• Communication Skills: Exceptional ability to translate complex scientific concepts for diverse audiences, bridging the gap between external researchers and internal engineers
• Technical Literacy: Familiarity with AI foundation models and deep learning methodology. Understanding of how foundation models can be used for different aspects of biological simulations. Familiarity with lab work and the design of biological experiments.
• Collaborative & Outgoing: Naturally inclined to build new relationships, promote the technology enthusiastically, and actively seek out opportunities for partnerships
• Operational Excellence: Strong organizational skills with a track record of managing multiple high-stakes relationships simultaneously in a fast-paced environment
  
  
  
  

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.