You will report to the corresponding PI and research manager of the VICTORY programme and work closely with Laboratory of Cell Therapy and Cancer Vaccine team members to provide technical expertise in large-scale multi-omics data analytics for pre-clinical/clinical studies. You will be expected to work collaboratively with other local and international collaborations depending on the need of the projects. One of the key focuses would be to integrate the transcriptomics and immunomics data and correlate with clinical data.
Your responsibilities will include:
- Support lab projects.
- Perform bioinformatic analysis to analyse scRNA-Seq, spatial protein/transcriptomic data, proteomics data to produce manuscript-ready figures and data.
- Setup customised data processing pipelines for high-throughput sequencing data and antigen prediction.
- Supporting trial-related projects.
- Assist research manager/senior research fellow on any ad hoc bioinformatic analysis and tasks.
Requirements:
- Ph.D. / M.S. / B.S. in Bioinformatics or related fields (e.g., biostatistics, computational biology, computer science).
- 1 to 3 years of experience in bioinformatics analysis.
- Experience in next-generation sequencing data processing from data quality control, alignment, variant calling, quantification, annotation and visualization (eg. scRNA-Seq, CITE-Seq, ATAC-seq, etc).
- Experience in R/Python/Perl and familiar with Linux environment.
- Experience in analysing single-cell TCR-seq data is a huge plus.
- Experience in analysing spatial data (multiplexed protein/transcriptomics data) is a huge plus.
- Experience in handling clinical data is a plus.
- Excellent interpersonal skills, good team player, and fast learner.
- Excellent analytical, problem-solving, and technical skills; detail oriented.
