The Laboratory of Cancer Epigenetic Regulation, helmed by GIS Executive Director Patrick Tan, is seeking a Post-Doctoral Fellow/Bioinformatician to join a new multi-institutional effort targeting the genetic basis of cancer to create novel therapies and diagnostics. Led by an award-winning thought leader in the field of Asian gastrointestinal cancer research with over 300 peer-reviewed publications in leading journals such as Cell, Cancer Discovery, Nature Genetics, and Science, the Laboratory of Cancer Epigenetic Regulation applies integrative (epi)genomic approaches to address biological and translational questions in cancer, to devise rational diagnostic/therapeutic strategies for cancer patients.
The candidate will analyze and integrate multi-omics data generated from cutting-edge technologies (e.g., Single-Cell genomics, ATAC-seq, ChIP-Seq etc). This role will provide you with a unique opportunity to apply your expertise in computational biology and machine learning by developing new bioinformatics pipelines and algorithms for multi-omics data integration.
1) Qualification: PhD/Master degree in a Computer Science/ Biology related field (e.g. Bioinformatics, computer science, statistics, computational biology, genetics, etc.). Working experience in these fields may also be considered
2) Candidates with and without work experience will be considered.
a) In depth knowledge on Next Generation Sequencing (NGS).
b) Strong programming skills (R and/or Python preferred). Experience with tools such as RStudio and Jupyter will be valuable.
c) Experience with next generation sequencing data analysis (e.g., whole-exome/whole-genome sequencing, RNA-seq, scRNA-seq, MethylSeq etc.), especially for human cancers will be advantageous.
d) Skills related to machine learning and statistical modelling on heterogenous genomics datasets will be advantageous.
e) Exceptional data analysis, interpretation, and troubleshooting skills.
f) Ability to work both independently and as a part of the team.
g) Excellent communication and team management skills.
1) Familiar with the regulatory requirements specific to the lab.
2) Be highly organized, able to multi-task, and pay close attention to details.
3) Present clearly and succinctly in a variety of internal and external settings.
4) Ability to accept direction from reporting officer and work in a collaborative manner to achieve development goals is important.
5) Experience with next generation sequencing techniques (e.g., ChIP-Seq, ATAC-Seq, RNA-seq etc)
6) Analyzing the genomics data to obtain insights on 1) predict risk of cancer development and cancer progression and 2) provide personalized, molecularly driven therapeutic recommendations.
7) Collaborating with clinicians and scientists by contributing bioinformatics expertise.
8) Assume responsibility of building, enhancing, and curating in-house databases of sequencing data drawing from both internal and external data sets (e.g., exome/genome/transcriptome sequencing etc).