Posting Start Date: 02/08/2024
Job Description:

JOB DESCRIPTION

We are seeking highly motivated researchers with expertise in computational modelling of biological systems to join our group at National University of Singapore for the engineering of microbes for biomanufacturing, a field which is rapidly developing and has great potential in providing environmentally friendly and sustainable solutions to address our ongoing challenges. The researchers will be contributing to an industrial project led by AStar SIFBI. The researchers will have opportunity to work with a diverse group of scientists from NUS, AStar and the company. Our group @ NUS (https://engbio.syncti.org) specializes in Synthetic Biology in which we engineer microbes with useful capabilities for medical and industrial applications and we are part of SynCTI at NUS (https://syncti.org).

QUALIFICATIONS

• Possess a PHD in systems biology, computational biology, or other related fields with relevant research experience.
• Have computational modelling skills related to modelling biological systems, biochemical networks, and bioprocesses.
• Have a good understanding of systems and synthetic biology.
• Demonstrated experience with Python, MATLAB, or similar programming languages.
• Familiarity with kinetic modelling, simulation, and parameter estimation.
• Knowledge and experience with biological database creation and data management will be a plus
• A demonstrated record of identifying and developing creative approaches to difficult problems.
• Strong writing, editing, and presentation skills required.
• Ability to work as part of a team, collaborating and communicating effectively with members of other functional groups.
• Excellent organizational skills and ability to multi-task and embrace change in an extremely fast-paced environment.
• Position offered will commensurate with qualifications and experience of candidate.
• Open to fixed term contract.

The candidate will primarily work on developing computational models of the engineered microbes for the production of high value chemical. The models will be used to optimize the strains and bioprocess.

• Present scientific and technical data in a clear and cohesive manner.
• Ensure scientific integrity and documentation of experimental data to meet standards suitable for intellectual property, and publication.
• To work closely with colleagues/collaborators who are engineering the microbes.