Postdoctoral Research Fellow; Jamali Lab - Generative Biology Institute
Listed on 2026-06-03
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Research/Development
Research Scientist, Biomedical Science
Overview
At the Ellison Institute of Technology (EIT), we translate scientific discovery into real-world impact. We bring together scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four areas:
Health, Medical Science & Generative Biology;
Food Security & Sustainable Agriculture;
Climate Change & Managing CO₂;
Artificial Intelligence & Robotics. This work demands curiosity, courage, and a relentless drive to make a difference. We value excellence, innovation, tenacity, trust, and collaboration, and aim to turn bold ideas into real-world breakthroughs.
Generative Biology Institute (GBI)
Led by Founding Director Jason Chin, the Generative Biology Institute at the Ellison Institute of Technology tackles challenges in making biology engineerable and unlocking its potential for humanity. The vision is to engineer biology by writing in the natural language of biology and by understanding what to write to generate functional biological systems. This will enable transformative solutions across health, agriculture, clean energy and more.
The Generative Biology Institute commenced operations in 2025 in Oxford Science Park. The team will move to a purpose-made facility currently under construction, which will include more than 40,000 m² of research laboratory and office space, housing over 30 groups and up to 600 employees to address the challenges in making biology engineerable and applying solutions to global challenges encapsulated in EIT's Humane Endeavours.
JamaliLab — Postdoctoral Researchers
We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Jamali Lab at the GBI. The lab focuses on developing new computational methods for the design of conformationally dynamic and functional enzymes, using generative protein design models that capture dynamics and function, as catalysis depends on motion. Collaborators at the Generative Biology Institute will help evolve designs in vivo, so every generation informs the next.
How to ApplyIn your cover letter, clearly explain your fit, interest, and relevant experience for joining this group. Applications will be reviewed on a rolling basis and should be submitted exclusively through the EIT job portal. If you would like to discuss this role in more detail before applying, please contact Kiarash Jamali ali. Due to the volume of applications, the review and decision process may take 3–6 months.
Key Responsibilities- Design, execute, and troubleshoot experiments, including developing novel methodologies and adapting existing techniques to new applications
- Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals
- Contribute to the research direction by identifying opportunities for innovation and refining research questions
- Prepare and publish high-quality scientific papers, reports, presentations, and protocols
- Present research at national and international conferences, seminars, and internal meetings
- Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary work streams
- Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies
- Mentor and support junior researchers, including PhD students and research assistants
- Translate research findings into commercial or translational opportunities aligned with EIT's mission
- Identify and pursue opportunities for intellectual property generation and protection
- Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice
This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role.
RequirementsEssential and Desirable Knowledge, Skills and Experience
- Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry)
- Track record of delivering ambitious research projects to a high standard
- Strong track record in research, ideally in molecular…
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