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Research – Cancer Science Institute of Singapore (CSI)

Research Positions Available

Several full-time postdoctoral positions are immediately available for MD and/or Ph.D graduates. Please state the name of the lab that you are applying to in the email subject.

Research Fellow – Prof. Ashok Venkitaraman's lab

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of our new Director, Prof. Ashok Venkitaraman, who has recently joined us from the University of Cambridge (see https://www.csi.nus.edu.sg/web/ashok-venkitaraman/). This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

ESSENTIAL qualifications include: (1) a PhD, (2) strong track record of research achievement evidenced by high-quality publications in a relevant field, (3) high-level experience in hands-on use of a wide range of relevant research methods, (4) skills in working independently and creatively to solve experimental problems and (5) effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.

Preference will be given to candidates with: (1) Previous experience in computational approaches to the analysis of (epi)genomic, transcriptomic or proteomic alterations in cancer or other diseases; (2) Familiarity with the development of phenotypic assays for genetic or chemical screening, involving the use of flow cytometry, high-throughput high-content microscopy, and/or advanced fluorescence microscopy, or (3) Previous experience with genetically engineered murine models.

More information on careers in NUS can be found at http://www.nus.edu.sg/careers/

Cancer Science Institute of Singapore
National University of Singapore Centre for Translational Medicine,
14 Medical Drive, #12-01,
Singapore 117599
Email: csi_recruitment@nus.edu.sg
Website: www.csi.nus.edu.sg

Applications will be considered until 2 January 2021 or until the position is filled.
We will only contact candidates who are shortlisted.

Senior Research Scientist – Prof. Ashok Venkitaraman's lab

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research?

We now seek a Senior Research Scientist to join the team of our new Director, Prof. Ashok Venkitaraman, who has recently joined us from the University of Cambridge (see https://www.csi.nus.edu.sg/web/ashok-venkitaraman/). This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

ESSENTIAL qualifications include: (1) a PhD with 3 years’ relevant post-doctoral experience, (2) strong track record of research achievement evidenced by high-quality publications in a relevant field, (3) high-level experience in hands-on use of a wide range of relevant research methods, (4) skills in working independently and creatively to solve experimental problems and (5) effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.

More information on careers in NUS can be found at http://www.nus.edu.sg/careers/

Please submit applications including (1) a covering letter that explains why you are suited to this post, (2) a detailed CV, and (3) the contact details of 3 professional referees including your last position to:
Cancer Science Institute of Singapore
National University of Singapore Centre for Translational Medicine,
14 Medical Drive, #12-01,
Singapore 117599
Email: csi_recruitment@nus.edu.sg
Website: www.csi.nus.edu.sg

Applications will be considered until the position is filled.
We will only contact candidates who are shortlisted.

Research Fellow (Full-Time Bioinformatics Data Scientist) – Dr. Chew Guo-Liang's Lab

Biomedical research is exploding with data. The Chew Lab (https://www.csi.nus.edu.sg/web/chew-guo-liang/) at the Cancer Science Institute of Singapore (CSI) at the National University of Singapore seeks to make sense of these data, using it to understand fundamental molecular mechanisms underlying human disease so that we may design better treatments.

For examples of the work we do, see:
Chew, Campbell et al. DUX4 suppresses MHC Class I to promote cancer immune evasion and resistance to checkpoint blockade. Dev Cell 2019. https://doi.org/10.1016/j.devcel.2019.06.011
Inoue, Chew et al. Spliceosomal disruption of the non-canonical BAF complex in cancer. Nature 2019. https://doi.org/10.1038/s41586-019-1646-9

Our interests will evolve over time. We are currently focused in the interactions between cancer and the immune system, and how these interactions may be mediated by the aberrant gene expression.

We are looking for a full-time bioinformatics data scientist to join us.

In this position, you will:

Integrate high-throughput data (e.g. proteomics, RNA-seq) from hundreds to thousands of patients
Derive experimentally-testable hypotheses, molecular insight from integrated analyses of high-throughput patient and experimental data
Communicate findings to clinical and experimental collaborators
Contribute to scientific discussions within the lab, at CSI and in the greater community
With guidance/coaching, develop yourself personally and professionally for a long term career in biomedical research

You would need:

A PhD in a relevant field (e.g. cancer biology, bioinformatics, molecular biology)
Prior experience applying bioinformatics to your own research
Working proficiency in R, Python or similar programming languages (we primarily use R)
Working knowledge of statistics as applied in a biomedical research setting
A broad interest in many aspects of biology

It would be great if you also had some familiarity with tidy data, Bioconductor, version control, workflow management software and working on servers/clusters/cloud.

We are particularly interested in hybrid wet/dry-lab molecular biologists seeking to make a full-time transition to computational biology.

If you are interested, please contact Dr Chew at via email at guoliang@nus.edu.sg (with an email subject containing the words “CSI bioinformatics postdoctoral position”), and include a detailed CV and contact information of at least two referees (including that of your current / most recent position). Please also provide a description of your research interests, including how your own experience would augment/complement our ongoing work. We will only contact candidates who are shortlisted.

Research Fellow (experimental work or bioinformatics) – Dr. Takaomi Sanda’s lab

A fulltime Research Fellow position will be available after January 2021.

The primary focus of our laboratory is to understand the mechanism of transformation by aberrant activation of oncogenic transcription factors in leukemia and other cancers. We are seeking highly motivated graduates. Candidates should have a PhD degree in molecular biology, cancer biology, medicine, bioinformatics, computational biology, computer science, or related fields.

For experimental study position (wet lab work), candidates will work on molecular biological and sequencing experiments (ChIP-seq, RNA-seq, ATAC-seq, Hi-C, whole genome sequencing), and animal models to study cancer biology and normal development. Prior experiences in the use of mouse or zebrafish model as well as basic molecular biology techniques are required.
For bioinformatics position (dry lab work), candidates will work on large scale genomic and transcriptomic data from next generation sequencing (ChIP-seq, RNA-seq, ATAC-seq, Hi-C, whole genome sequencing). Knowledge for optimization and statistical packages and programming (e.g., Python, Perl, C, C++, Java, R, or other related programming knowledge) are

The ability to work independently and design and interpret experiments is essential, together with excellent organizational skills and fluency in English. We are looking for a team- and goal-oriented personality who wants to work in a young and international team. Research Fellow will be encouraged to present data at internal and external meetings and publish in peer-reviewed journals.

Applications should include full curriculum vitae, publication list, information on years of experience in research work, and names and contact information (e-mail and telephone numbers) of 3 references. Inclusion of a summary of your research experience and a brief paragraph on why you want to join the Sanda lab is highly suggested.

Please note that only shortlisted candidates will be contacted.

Please send applications to:

Research Fellow (Bioinformatician) – A/Prof Henry Yang’s & Dr Yvonne Tay’s lab

A postdoctoral position is available immediately in A/Prof Henry Yang and Dr Yvonne Tay’s groups for a highly motivated PhD graduate with experience in Bioinformatics (computational genomics). The focus of the lab is on deciphering regulatory RNA networks in the context of cancer (reviewed in Tay et al, Nature 2014; also see Tay et al, Cell 2011; Chan et al, NAR 2018).

Candidates should have backgrounds in bioinformatics, genomics, computer science, statistics, or other related fields. Those who are interested in computational genomics, particularly in analysis and integration of various genomics data, are encouraged to apply. The successful candidate will analyse and integrate in-house genomic (RNA-seq, small RNA-seq, microarray etc) data sets and also utilize publicly available genomic/clinical data sets to identify novel biological patterns and regulatory mechanisms. Candidates are required to have a strong quantitative and statistics background, as well as strong programming skills (e.g. Python, Perl, C, C++, Java, R or other related programming knowledge), and excellent skills in handling Linux clusters and genomic databases. Experience in analyzing single cell and/or long-read sequencing data is ideal but not required.

Applications should send full curriculum vitae (not more than 3 pages) and the names, addresses and contact numbers of 3 professional references to csiyangh@nus.edu.sg and yvonnetay@nus.edu.sg with the subject title – ‘Application for HY/YT postdoc position’.

Research Assistant / Associate – RNA Biology in Cancer (Dr Yvonne Tay's lab)

A research assistant / associate position is available immediately in Dr Yvonne Tay’s lab for a highly motivated Honours’ / advanced degree holder with a background in molecular or cellular biology, biochemistry or other related fields who is interested in deciphering regulatory RNA networks in the context of cancer (reviewed in Tay et al, Nature 2014; also see Tay et al, Nature 2008 and Tay et al, Cell 2011). The successful candidate will design and conduct experiments, analyse data and write papers.

The Tay lab is in the Cancer Science Institute of Singapore, a state-of-the-art research center with a multifaceted and coordinated approach to cancer research, extending from basic cancer studies all the way to experimental therapeutics. The focus of the institute is on cancers endemic to Asian populations such as gastric, liver, lung, leukemia and breast cancers. The institute houses a full spectrum of research and clinical translational facilities. This major center is led by a team of world-class scientists with significant government funding from Singapore’s National Research Foundation and Ministry of Education.

Qualifications:

A Bachelor’s degree in a life science-related field
Experience with in vivo animal models, particularly mice and/or zebrafish
Expertise in RNA biology (including but not limited to microRNAs) is preferred
Strong background and working knowledge of basic molecular and cellular biology techniques such as cell culture, cloning, real-time PCR and western blotting
Experience with analyses of human clinical samples, RNA sequencing, RNA immunoprecipitation, mass spectrometry and/or CRISPR genome editing is highly desirable
Ability to communicate in written and spoken English

Applications should include full curriculum vitae, publication list, and names and contact information of 3 referees. Please also include a summary of your research experience.

Please send applications to:

Cancer Science Institute of Singapore
National University of Singapore Centre for Translational Medicine,
14 Medical Drive, #12-01,
Singapore 117599
Email: yvonnetay@nus.edu.sg
Website: www.csi.nus.edu.sg

Related publications:

Tay Y, Zhang J, Thomson AM, Lim B, Rigoutsos I. (2008) MicroRNAs to Nanog, Oct4 and Sox2 coding regions modulate embryonic stem cell differentiation. Nature 455(7216),1124-1128.
- Selected by Faculty of 1000
Tay Y, Kats L, Salmena L, Weiss D, Tan SM, Ala U, Karreth F, Poliseno L, Provero P, Di Cunto F, Lieberman J, Rigoutsos I, Pandolfi PP. (2011) Coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs. Cell 147, 344–357.
- Selected by Faculty of 1000
Tay Y, Rinn J, Pandolfi PP. (2014) The multilayered complexity of ceRNA crosstalk and competition. Nature. 505, 344-352.

Research Assistant (Bioinformatics/ Quantitative Proteomics) – Dr Dennis Kappei’s lab

We are seeking a highly motivated candidate as a research assistant in the Kappei lab and the Quantitative Proteomics Core at the Cancer Science Institute of Singapore. Our young and international team addresses research questions on nucleic acid-protein interactions with quantitative mass spectrometry, cell biological and genetic approaches applied to cancer research and we further support research activities at CSI as part of the Quantitative Proteomics Core with quantitative proteomics solutions to study e.g. protein expression profiling, protein-protein interactions as well as post-translational modifications. The research assistant will develop analysis pipelines applied to proteomics datasets and will pursue projects at the interphase of proteomics, genomics, biochemistry, cell biology and cancer research.

Requirements:

Degree in life sciences, biostatistics, computer science or related fields
Programming skills in Python, R or equivalent language
Excellent communication skills and good team spirit
Fluent in spoken and written English
Ability to solve problems independently

Preference will be given to candidates with:

Experience with data analysis of proteomics and/or genomics data sets
Working knowledge of basic molecular biology techniques

Applications should include in a single PDF a cover letter, curriculum vitae and the names and contact information of at least 2 professional references. Please send applications with the reference “Bioinformatics MS” to:

Dr. Dennis Kappei
Principal Investigator
Email: dennis.kappei[at]nus.edu.sg
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Research Fellow (Bioinformatics/ Quantitative Proteomics) – Dr Dennis Kappei’s lab

We are seeking a highly motivated candidate as a research fellow in the Kappei lab and the Quantitative Proteomics Core at the Cancer Science Institute of Singapore. Our young and international team addresses research questions on nucleic acid-protein interactions with quantitative mass spectrometry, cell biological and genetic approaches applied to cancer research and we further support research activities at CSI as part of the Quantitative Proteomics Core with quantitative proteomics solutions to study e.g. protein expression profiling, protein-protein interactions as well as post-translational modifications. The research fellow will develop analysis pipelines applied to proteomics datasets and will pursue projects at the interphase of proteomics, genomics, biochemistry, cell biology and cancer research.