Computational Biologist

5 days ago

Singapore A*STAR Agency for Science, Technology and Research Full time

**About the HoME Lab**:
The Host-Microbiota Ecology (HoME) Lab focuses on understanding host-microbiota interactions through in vitro and in silico models, integrating synthetic ecology with computational modelling.
About the role
Develop computational models (including ODE-based and agent-based models) to simulate microbial interactions.
Analyze high-throughput data from synthetic microbiome experiments (e.g., transcriptomics and metabolomics).
Collaborate with experimental biologists to design experiments that generate data for modelling.
Implement machine learning algorithms for predicting microbial interactions and microbiome stability.
Publish research findings in peer-reviewed journals and present at conferences.
**Requirements**:
PhD in Computational Biology, Bioinformatics, Systems Biology, or a related field.
Strong programming skills in MATLAB / Python / R or similar languages.
Experience with modelling biological systems using ODEs, agent-based models, or similar frameworks.
Knowledge of microbiome research and microbial ecology is highly desirable. Familiarity with machine learning techniques and handling large biological datasets.
Skills and abilities
High level of organisational skills with the ability to plan and schedule multiple projects effectively.
Ability to effectively handle both internal and external partners, some with competing agendas.
Good verbal and written communication skills.
Personal Attributes
Demonstrates initiative, creativity, flexibility and a personal ethos of continuous improvement.
Flexible, professional and resourceful with a high level of organisational skills with the ability to prioritise, manage workload.
Deliver agreed activities consistently on time.
Ability to work independently when required.
Application instructions
A cover letter describing motivation and suitability for the role.
CV
Computational Biologist (Microbiome Interaction Modelling).
A one-page writeup on their approach to one of their modelling work with a link to the publication, pre-print, or git-hub page.
Contact information for three references.
**Type of Employment**: Full-Time
**Minimum Experience**: 2 Years
**Work Location**: Immunos

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