A postdoctoral/SRS position is available immediately in Prof Chng Wee Joo’s groups for a highly motivated PhD graduate with experience in Bioinformatics (computational genomics). The focus of the lab is on deciphering transcriptional and genomic abnormalities in the context of blood cancer, including epigenetic and superenhancer deregulation, using single cell sequencing amongst other genomics techniques.

Candidates should have backgrounds in bioinformatics, genomics, computer science, statistics, or other related fields. Those who are interested in computational genomics, particularly in analysis of single cell sequencing data, superenhancer and chromatic interaction data, 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.

Apply here.

ROLES AND RESPONSIBILITIES

1. Analyze and integrate various NGS data
2. Build and reproduce pipelines to process all types of DNA and RNA sequencing data
3. Maintain all source code within Git and Dockerize all pipeline components
4. Liaise with the Scaling Unit to convert pipelines into scalable workflows
5. To build and maintain general infrastructure components of the GeDaC cloud-based
   platform (e.g. genomic databases)
6. Provide on-demand bioinformatics support for CSI investigators
7. Any other services as requested by supervisors

REQUIREMENTS

• Masters or Ph.D. in genetics, genomics, bioinformatics, computational biology, or related fields with 2 years of working experience
• Solid foundation in biology and genomics
• Experience processing and analyzing high-throughput sequencing data
• Appreciable Python and/or R programming skills

PREFERENCES

• Experience analyzing legacy data types (microarrays, CGH arrays, etc.)
• Authorship on scientific publications
• Software development experience
• Experience with collaborative software development via github/gitlab

Apply here.

We are seeking a highly motivated candidate as a research fellow in the Quantitative Proteomics Core in collaboration with the Kappei lab at the Cancer Science Institute of Singapore (CSI). Our 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 protein expression, protein interactions as well as post-translational modifications.

Proteins are the functional agents in cells, yet the systematic global characterization of their expression and spatial distribution has largely remained limited to the analysis of RNA as a proxy. To close this gap, we have recently expanded the Quantitative Proteomics Core to Clinical Proteomics applications with dedicated instruments including a timsTOF fleX mass spectrometer that allows for dual LC-MS/MS and MALDI imaging analysis. The research fellow will develop innovative workflows for both untargeted and targeted spatial protein imaging applied to the analysis of cancer tissues. We are offering a position in a stimulating, diverse and international research environment as well as the opportunity to gain expertise in a highly demanded technology using state-of-the-art instruments.

Requirements:

• PhD in life sciences, chemistry, medicine or related fields
• Strong background and working knowledge of basic molecular and biochemical techniques
• Excellent communication skills and good team spirit
• Ability to solve problems independently
• Penchant for method development
• Strong publication record
• Preference will be given to candidates with
  • Experience with mass spectrometry (sample preparation and instrument operation/maintenance)
  • Experience with image analysis and/or histology

Applications should include in a single PDF a 1-page cover letter, curriculum vitae and the names and contact information of at least 2 professional references. Please send applications with the reference “Clinical Proteomics RF” to:

Dr. Dennis Kappei
Principal Investigator
CSI Singapore
Email: dennis.kappei[at]nus.edu.sg

Further information on the Cancer Science Institute of Singapore as well as working at CSI can be found on our website: www.csi.nus.edu.sg/web/careers/

Please apply here.

The position of Postdoctoral Research Fellow (RF) is available at the Cancer Science Institute of Singapore, National University of Singapore (CSI, NUS). The RF will be a member of Experimental Therapeutics Laboratory lead by Prof Boon-Cher Goh. The mission of the Experimental Therapeutics Laboratory is to identify new cancer biomarkers that could stratify high risk cancers for treatment interventions; and to develop novel therapeutic agents and delivery platforms to provide better treatment options for cancer patients. Nasopharyngeal carcinoma (NPC) is a solid tumour whose aetiology is closely linked to EBV infection. While Prof Goh’s clinical team are actively conducting clinical trials on the different therapeutic agents and treatment regimens for NPC; the lab team are focused on understanding cellular and molecular changes that occur in the malignant cells and within the tumour microenvironment that contribute to cancer progression and development of drug resistance. The role of the RF is to develop cancer vaccines and therapeutics specifically for the treatment of NPC. The position is available from October 2021 onwards for 3 years.

Roles and Responsibilities

1. To examine the role of identified target molecules in NPC cell survival and function; corelating results with patient sample data and clinical information.
2. To design immunogens and explore the different platforms for vaccine development.
3. To design and conduct experiments to test vaccine prototypes in vitro and in mouse models, focusing on but not restricted to
   • Their efficacies in stimulation the immune system and characterising the cellular and humoral immune responses
   • Effects of vaccine on physiological functions, bone marrow function, thrombotic events etc
   • Effects of vaccine in tumour-bearing mice

• To design and test novel therapeutic agents when appropriate.
• To help supervise RAs and mentor PhD students.

Actions for interested applicants

Please submit applications including (1) a covering letter that explains why you are suited to this post, (2) a detailed CV, include education qualification, employment history, and research track record, (3) the contact details (telephone and emails) of 2 referees.

Please note that only short-listed candidates will be contacted.

Apply here.

ROLES AND RESPONSIBILITIES

1. Build and reproduce pipelines to process all types of DNA and RNA sequencing data
2. Perform quality control over all data being generated locally by the Genomics Bench
3. Maintain all source code within Git and Dockerize all pipeline components
4. Deploy pipelines on AWS and run on-demand
5. Liaise with the Scaling Unit to convert pipelines into scalable workflows
6. To build and maintain general infrastructure components of the GeDaC cloud-based platform (e.g. genomic databases)
7. Provide on-demand bioinformatics support for CSI investigators
8. Any other services as requested by supervisors

REQUIREMENTS

• Masters or Ph.D. in genetics, genomics, bioinformatics, computational biology, or related fields with 2 years of working experience
• Solid foundation in biology and genomics
• Experience processing and analyzing high-throughput sequencing data
• Appreciable Python and/or R programming skills
• Familiarity with cluster (including HPC) and/or cloud computing
• Excellent written and spoken English

PREFERENCES

• Experience analyzing legacy data types (microarrays, CGH arrays, etc.)
• Authorship on scientific publications
• Software development experience
• Experience with collaborative software development via github/gitlab

Apply here.

The position of Postdoctoral Fellow (PDF) in computational cancer genomics is immediately available at The Cancer Science Institute of Singapore (The National University of Singapore). This PDF will lead a newly funded project in the laboratory of Dr. Jason Pitt that will explore how germline genetics and cell-of-origin contribute to genomic instability (GI) in cancer (see Pitt et al., 2018, Nat Comms; Pitt et al., 2018, Cancer Cell; Wang & Pitt et al., 2019, Int J Cancer). The acquisition of GI by malignant cells is critical to cancer development and progression. However, the magnitude and type of GI can vary widely across patients and cancer types. Delineating the underlying sources of GI will help identify novel therapeutic biomarkers (Pitt, Hoppe, & Jeyasekharan; PCT/SG2021/050105). The PDF will build upon our recently developed computational framework to derive dozens of GI scores and copy number signatures from tens of thousands of malignant samples. Using a multi-omic approach, these scores will be associated with clinical, genomic, and cell-type specific features. Candidate genes/variants will be investigated experimentally using CRISPR-mediated isogenic cell lines.

ROLES AND RESPONSIBILITIES

• Processing and management of public genomic data (WES, RNAseq, SNP array, etc.)
• Develop methods to estimate CN-based GI scores and signatures
• Use innovative approaches to associate inherited variation with GI patterns
• Determine the relationship between GI patterns and phenotypic features
• Lead manuscript writing and software documentation
• This position is for 2-3 years with the possibility of extension

REQUIREMENTS

• PhD in human genetics, genomics, bioinformatics, or related fields
• Firm understanding of human genetics and association studies
• Experience analyzing cancer genomics data
• Strong Python and/or R programming skills
• Penchant for statistical reasoning
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Familiarity with copy number and mutation signature analysis
• Experience using Amazon Web Services or high-performance computing
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

Apply here.

To provide support to the Principal Investigator in research projects, maintenance of laboratory inventory and administration. Research duties and responsibilities will include:

• Assisting to develop and carry out experiments and performing biological, hemotological, chemical, or physical analysis and determinations as tasked
• Organizing, preserving and presenting the results of the experiments in a logical manner to supervisors or in research meetings
• Assist in supervising, training and guiding attachment/undergraduate students where required
• Performing surgical procedures, geno-typing, post-mortem examinations, tissue collection activities, etc. involving laboratory animals, and when necessary to make injections and dissections

The Research Assistant is also required to cooperate in maintaining and planning for the needs of the lab team as well as to meet administrative duties that are assigned.

Honors degree (2nd upper class and above) in Life Sciences or similar field.

Candidates with 3-4 years of experience in a cancer biology laboratory and/or postgraduates will have an advantage.

Apply here.

The position of Postdoctoral Fellow (PDF) — with an emphasis on computational cancer genomics — is immediately available at The Cancer Science Institute of Singapore (a part of The National University of Singapore). The postholder will work with the laboratories of Prof. Ashok Venkitaraman, Dr. Jason Pitt and Prof. Touati Benoukraf on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The postholder will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (eg., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Prof. Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

A PhD in a relevant field, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

Requirements:

• PhD in human genetics, genomics, bioinformatics, computer science, or related fields
• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

Preferences:

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

Please click here to apply.

The Cancer Science Institute of Singapore (CSI) Career Accelerator Postdoctoral Fellowship invites outstanding applicants at the level of early-stage postdoctoral fellows. The awardees will be hosted within established research labs to develop their independent research programs and collaborate with other exceptional researchers. They will receive a competitive salary package with an annual research grant of up to SGD$25,000 per year and equipment grant of SGD$5,000. Access to state-of-the-art core facilities will be provided. The tenure is up to three years.

Applicants should fulfil the following criteria:

• Have a PhD degree within the prior 18 months from the deadline of the application or to have received their PhDs by the time they commence the fellowship,
• Work in any discipline of cancer research,
• Excellent track record of research accomplishments,
• Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories,
• Aspire to be leaders in biomedical research

Interested applicants should submit the following to csi_recruitment@nus.edu.sg. Please indicate “Application for CSI Career Accelerator Postdoctoral Fellowship” in the subject title. Only shortlisted candidates will be contacted.

1. Cover letter,
2. Curriculum Vitae, including full publication list,
3. Two-page research proposal (excluding references) summarising the background, significance, and aims and methods of the proposed research,
4. Names and contact information (email and phone number) of 2 – 3 references (including PhD supervisor),
5. List of potential host labs contacted.

Apply via: https://career44.sapsf.com/sfcareer/jobreqcareer?jobId=6350&company=nationalunP2

A postdoctoral position is available immediately for an extremely motivated Ph.D. or M.D with a strong background in molecular or cellular biology, biochemistry, or other related fields. The successful candidate will help to design and conduct experiments, analyse data, write papers and grants, including fellowships, and mentor and direct PhD students. Projects involve RNA biology with relevance to cancer, the oncofetal protein SALL4 in cancer, or both; a list of publications can be found at http://www.ncbi.nlm.nih.gov/pubmed/?term=Tenen+DG

Qualifications:

• A Ph.D. in cancer biology or related area, or M.D. with equivalent research experience
• Expertise in RNA biology 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 and other genomic techniques, and/or CRISPR genome editing is highly desirable
• A proven track record in the form of publications in top international English language journals
• Ability to communicate in written and spoken English

Applications should include curriculum vitae, publication list, and names and contact information (including telephone numbers) of 3 referees. Request that letters of recommendation be sent to daniel.tenen@nus.edu.sg (informal email recommendations are fine). Include a summary of your past research experience, a description of your long term plans, as well as ideas for at least two projects that you might want to work on in Dr. Tenen’s lab (half page each is fine, have fun with this!).

Please note that only shortlisted candidates will be contacted.

BACKGROUND

The position of Postdoctoral Fellow with an emphasis on cancer genomics and bioinformatics is immediately available in the laboratory of Dr. Jason Pitt, which integrates data science and biological expertise to facilitate precision oncology. The Pitt Laboratory achieves this by developing cutting-edge software that allows rapid interrogation and interpretation of large genomic datasets. This position is connected to the Cancer Science Institute (CSI) Translational theme, which is building knowledge-bases and algorithms to recommend cancer treatments based on a patient’s genetic profile. This fellow will also work closely with clinician-scientist Dr. Anand Jeyasekharan to help facilitate molecular tumor boards at National University Hospital. An experienced genome analyst will have the unique opportunity to impact real-world precision oncology while developing skills in cloud computing, data science, and augmented intelligence.

RESPONSIBILITIES

Candidate will work with the CSI Translational Team to deliver the following:

1. Aggregation and analysis of publicly available datasets
   – Data wrangling of genomics and clinical datasets
   – Processing and analysis of NGS data (e.g. DNA- & RNA-seq)
   – Apply novel prediction algorithms over large-scale data
2. A knowledge graph for precision oncology
   – Integrate drug, protein/gene, clinical trial, and genomics data
   – Overlay analytics to discover novel biological and clinical insights
   – Facilitate oncologist queries based on an entity of interest

REQUIREMENTS

• Ph.D. in bioinformatics, genomics, computer science, information systems, statistics, or related fields
• Experience analyzing data derived from high-throughput technologies
• Strong Python programming skills and proficiency with Unix-based systems
• Strong analytical and critical thinking skills
• Evidence of leading projects to completion
• Excellent written and spoken English

PREFERENCES

• Previous experience with cancer genomics data
• Familiarity with Amazon Web Services
• Database management experience (SQL, NoSQL, Elasticsearch, etc.)
• Experience with collaborative software development via github/gitlab

HOW TO APPLY

Applications should include full curriculum vitae, publication list (if applicable), and contact information for 2-3 referees. Please also include a single page cover letter summarizing your previous research, analytical/programmatic expertise, and why this position is of interest to you.

Apply via:

https://career44.sapsf.com/sfcareer/jobreqcareer?jobId=5336&company=nationalunP2

Dr. Jason J. Pitt
Special Fellow
Email: jason.j.pitt[at]nus.edu.sg

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 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.

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/

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.

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.

1. 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.
2. 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:

Cancer Science Institute of Singapore
National University of Singapore Centre for Translational Medicine,
14 Medical Drive, #12-01,
Singapore 117599
To apply for this position, please visit this link here.
Website: www.csi.nus.edu.sg

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’.