Research Group Leader

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 are seeking a dynamic and experienced Research Group Leader to drive innovation and lead a talented team of researchers focused on the extension, use, and integration of biological foundation models to solve the most important biomedical and biological problems. This is a unique opportunity to shape the direction of our research efforts, contribute to groundbreaking discoveries, and mentor the next generation of scientific leaders. You will play a critical role in advancing our mission to revolutionize biology and medicine through the power of Generative AI.

Key Responsibilities:

• Lead and mentor a team of research scientists, fostering a collaborative and high-performing environment.
• Work with the Chief Scientific Officer (CSO) and other leaders to drive the research strategy and objectives for your group, aligning with the broader company goals.
• Lead partnerships with industry and academic teams focused on the use, integration and extension of the foundation models developed by GenBio to derive novel insights intro biological and biomedical systems and processes.
• Analyze and interpret complex data, drawing meaningful conclusions and identifying potential breakthroughs.
• Prepare and present research findings at internal meetings, scientific conferences, and in peer-reviewed publications.
• Stay abreast of the latest advancements in relevant scientific fields and integrate new knowledge into research projects.
• Collaborate effectively with our engineering and product teams and with other stakeholders across the organization.
• Lead the writing and publication of high-quality papers demonstrating the success of GenBio’s AI approach.
• Contribute to the intellectual property strategy of the company through invention disclosures and patent applications.
• Ensure adherence to high scientific standards and best practices within the research group.

Qualifications:

• PhD in Computer Science, Computational Biolog or related area with at least 5 years of post-doctoral experience, OR an MSc in a relevant field with at least 10 years of relevant research experience.
• Demonstrated experience in a leadership role, including managing and mentoring research scientists or a similar technical team (this could include experience leading projects, supervising students/postdocs, or managing a small team in industry).
• A strong track record of research accomplishments, evidenced by publications in peer-reviewed journals, conference presentations, and/or relevant industry achievements.
• Deep knowledge and expertise in the design and use of foundation  models for biology. [
• Excellent problem-solving, critical thinking, and analytical skills.
• Strong communication, interpersonal, and presentation skills, with the ability to effectively convey complex scientific concepts to diverse audiences.
• Ability to work independently and collaboratively in 1 a fast-paced, dynamic startup environment. 

Preferred Qualifications:

• Experience in both academic and industry research settings.
• Experience with the use of AI to address systems biology questions
• Experience in working and integrating multiple biological modalities
• Experience in securing research funding (e.g., grants, collaborations).
• Familiarity with software engineering best practices and collaborative development environments.

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.