Research Fellow (Computational Biology, Bioinformatics, Machine Learning)

A Research Fellow position is available in the Transcription and Chromatin Regulation Laboratory School of Biological Sciences Nanyang Technological University Singapore.We are seeking a talented and motivated Research Fellow in computational biology or data analytics who is interested in developing machine learning approachesto study the changes of genomic and epigenomic profiles (e.g.enhancer-gene interactions) during cancer progression. We are a team of experimental and computational biologists at the School of Biological Sciences NTU who are focused on elucidating the enhancer reprogramming and chromatin dynamics during cancer development. The overall goal of our funded projects is to uncover the impact of oncogenic/inflammatory mediators and non-coding RNAs on enhancer regulation leading to the activation of cancer driver genes (Nature Cell Biology 2015 17: 1327-38; PNAS 2016 113: 14402-07; Nature Communications 2018 9: 3183).

Job Description:

• Work on a variety of genomics data including RNA-seq ChIP-seq ATAC-seq and Hi-ChIP

• Develop algorithms or bioinformatics pipelines for multi-omics data integration

Job Requirements:

• A recent PhD graduate (or 1-2 years postdoc experience) in the relevant areas of computational biology bioinformatics computer science or data analytics

• Experience in working with a variety of genomics data including RNA-seq ChIP-seq ATAC-seq and Hi-ChIP

• Prior experience with next-generation-sequencing data analysis for at least 1 or 2 of the above genomics datasets

• Strong programming skills in R and/or Python

• Demonstrate a keen interest in machine learning and integrative multi-omics analysis as well as developing algorithms or bioinformatics pipelines for multi-omics data integration

• Prior knowledge in cancer biology or chromatin regulation will be highly advantageous

• Track record of peer-reviewed publications in relevant disciplines will be advantageous

• Ability to write/contribute to research articles and keep well-organized scientific documentation

• Excellent interpersonal written and oral communication skills

• A strong team focus and ability to work independently

• A demonstrated ability to supervise PhD students and junior research staff is a plus

• Able to work and collaborate well with experimental biologists and clinicians

The School of Biological Sciences seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit regardless of age race gender religion marital status and family responsibilities or disability.

We regret that only shortlisted candidates will be notified.

In line with Singapores nationwide Vaccination-Differentiated Safe Management Measures (VDS) employees must be fully vaccinated to return to the workplace unless certified to be medically ineligible. For Information on VDS please click here.