Job description
The Research Officer in Bioinformatics will be instrumental in propelling our research projects forward through expert analysis of single-cell and spatial omics data, along with image analysis and the integration of diverse multi-omics datasets. This role offers a unique opportunity to work collaboratively with a multidisciplinary team of leading immunologists, oncologists, pathologists, and AI scientists. The candidate will contribute to pioneering research involving a broad spectrum of data types, from mouse and human to cancer and various disease datasets, leveraging their bioinformatics expertise to drive innovations in disease understanding and treatment strategies.
Key Responsibilities:
- Lead the analysis of single-cell and spatial omics datasets to uncover cellular heterogeneity, spatial organization, and gene expression patterns in diverse biological contexts.
- Conduct advanced image analysis to extract quantitative data from biological imagery, employing cutting-edge computational techniques.
- Develop and implement integrative multi-omics analysis pipelines to synthesize information across various data types (genomic, transcriptomic, proteomic, etc.), facilitating a holistic understanding of biological systems and disease mechanisms.
- Collaborate with interdisciplinary teams, including biologists, clinicians, and computational scientists, to design experiments and interpret findings within the context of complex disease states.
- Contribute to data management and curation efforts, ensuring the integrity and accessibility of datasets.
- Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
- Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.
Qualifications:
- Bachelor Degree in bioinformatics, Computational Biology, Systems Biology, or a related field.
- At least 1 year of relevant professional experience in omics data analysis.
- Proficiency in programming languages such as R and Python, and in the use of bioinformatics tools and databases.
- Demonstrated expertise in statistical data analysis and machine learning applications.
- Established publication record in peer-reviewed journals within the bioinformatics or related fields.
- Exceptional problem-solving abilities, capable of both autonomous work and team collaboration.
- Excellent verbal and written communication skills
- Experience with server-based and high-performance computing.
- Proficiency in data visualization tools and software.
- Understanding of molecular biology, genetics, and cellular biology principles.
- Proficiency in managing and analyzing large datasets from various omics platforms.
Please send your CV to [email protected]
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
