Postdoctoral Researcher In Synthetic Biology and Evolution

The Phage; Oxford; Vor Ort; GBP 42.000 - 52.000; Vollzeit

Zusammenfassung

The Phage seeks a creative postdoctoral researcher to join the Liu Lab for Synthetic Evolution, advancing how biological sequences determine function using evolution and machine learning.

Lead experiments, develop new methods, and analyze complex datasets to map sequence-function relationships. You will collaborate across synthetic biology and computational biology and mentor junior team members in a dynamic, fixed-term role.

Qualifikationen

• PhD in a relevant field such as synthetic biology, molecular biology, genetics or related discipline.
• Strong track record of high-quality research and ability to complete projects.
• Experience in experimental and/or computational methods and clear scientific writing.

Aufgaben

• Design, perform and troubleshoot experiments in synthetic biology and evolutionary engineering.
• Develop new methods and adapt existing approaches to address research questions.
• Analyze complex datasets using appropriate computational tools.
• Investigate links between sequences, structures and functions.
• Contribute to planning, hypothesis generation and identifying new opportunities.
• Prepare manuscripts, reports, and experimental protocols.
• Present findings at conferences and internal meetings.
• Collaborate across synthetic and computational biology and related disciplines.
• Mentor PhD students and junior team members.

Kenntnisse

Synthetic biology

Evolutionary engineering

Data analysis

Scientific writing

Collaborative

Ausbildung

PhD

Tools

Computational tools

Jobbeschreibung

The Liu Lab for Synthetic Evolution, led by Principal Investigator Chang C. Liu, investigates how biological sequence determines function and how evolution and machine learning can be used to design new biological systems.

The group developed orthogonal DNA replication (OrthoRep), a technology that enables the accelerated evolution of selected genes inside living cells.

Current research areas include antibody engineering, enzyme design, mapping relationships between biological sequences and their functions, and understanding how new gene functions emerge through evolution.

The lab is seeking creative and motivated postdoctoral researchers to contribute to these research programmes and develop new ideas in synthetic biology and evolutionary engineering.

he Ellison Institute of Technology (EIT) aims to translate scientific discoveries into practical solutions to global challenges. Its research spans health and medical science, generative biology, sustainable agriculture, climate change, artificial intelligence and robotics.

The Generative Biology Institute, led by Founding Director Jason Chin, focuses on developing technologies that make biology easier to engineer and enable the design of biological systems with useful functions.

Key Responsibilities

• Design, conduct and troubleshoot experiments in synthetic biology, molecular biology and evolutionary engineering.
• Develop new experimental methods and adapt existing techniques to address research questions.
• Analyse complex experimental datasets using appropriate computational and statistical tools.
• Investigate relationships between biological sequences, molecular structures and functional outcomes.
• Contribute to research planning, hypothesis development and the identification of new research opportunities.
• Prepare scientific manuscripts, research reports, presentations and experimental protocols.
• Present research findings at conferences, seminars and internal meetings.
• Collaborate with researchers across synthetic biology, computational biology, engineering and related disciplines.
• Mentor and support PhD students, research assistants and other junior team members.

Qualifications & Skills Required

Candidates should have:

• A completed PhD in a relevant discipline, such as synthetic biology, molecular biology, genetics, bioengineering, evolutionary biology, genomics, computational biology, chemical biology or a related field.
• A strong record of conducting and completing high-quality research projects.
• Experience in experimental research, computational analysis or a combination of both.
• Strong analytical and problem-solving skills, with the ability to interpret complex research findings.
• The ability to work independently, develop research ideas and contribute to scientific discussions.
• Good scientific writing and presentation skills.
• Strong organisational skills and the ability to manage multiple research activities.
• The ability to work effectively in multidisciplinary teams and establish productive collaborations.

Experience publishing in high-impact scientific journals and presenting research at international conferences is also expected to strengthen an application.ay be available, subject to the candidate’s circumstances and applicable eligibility requirements. This is a fixed-term position.