Job Description

Job Purpose
The mission of the  Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1.    Curriculum Vitae (CV)
2.    Summary of past research experience
3.    Description of long-term plans
4.    3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:
•    Carry out assigned experiments under initial guidance and then independently
•    Organize, preserve, and present the results of the experiments in a logical manner
•    Record all assigned experiments and results properly and systematically
•    Analyse data and design subsequent experimental workflow
•    Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:
•    Assist with lab housekeeping and administrative duties as needed
•    Ensure that standard operating procedures and safety regulations are followed

Qualifications

•    Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
•    Interest in pursuing a research career in studying RNA biology in cancer
•    To be a team player with the ability to work collaboratively with other members of the lab.
•    Experience in running projects independently is preferred.
•    Experience in laboratory management is preferred but not essential.
•    Ability to communicate fluently in written and spoken English
•    Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
•    Proficiency/ expertise in data analysis (R or equivalent)

Apply here.

Job Description

The Experimental Therapeutics Program seeks a Research Pathologist specializing in solid tumors, particularly breast cancer and nasopharyngeal cancer. The role involves providing pathology-related expertise to support translational research initiatives. This role is an exciting opportunity for a skilled pathologist to contribute to cutting-edge translational research in oncology, enhancing therapeutic strategies for solid tumors through rigorous pathological analysis and collaboration.

The selected candidate will be supporting Prof Lee Soo Chin, more information about her research available at https://csi.nus.edu.sg/researcher/soo-chin-lee/

Key Responsibilities:

1. Research Support:
   • Analyze morphological features of clinical samples for research purposes.
   • Score histological stains, including Immunohistochemistry (IHC), In Situ Hybridization (ISH), and Fluorescence In Situ Hybridization (FISH), in various research projects.
   • Manage and provide pathology-related technologies:
     • Develop and optimize immunohistochemistry assays.
     • Handle tissue arrays.
     • Conduct laser microdissection.
     • Utilize autostainer technology.
     • Operate slide imaging systems.
     • Use advanced microscopy systems.
2. Supervision and Teaching:
   • Supervise and mentor junior staff members.
   • Lead pathology-based projects.
3. Manuscripts and Grants:
   • Assist in the compilation of manuscripts and grant applications.

Qualifications

• Educational Background:
  • MBBS or MD degree is mandatory.
• Experience and Skills:
  • Preference for candidates with several years of experience as a diagnostic histopathologist or surgical pathologist.
  • Hands-on experience in one or more of the following:
    • Immunohistochemistry
    • Laser capture microdissection
    • Construction of tissue microarrays
    • Diagnostic molecular biology techniques and technologies
  • Profound understanding of pathological processes at the tissue level.
  • Ability to work independently.
  • Proficiency in written and spoken English.
  • Excellent writing and reporting abilities.
  • Strong communication skills and a collaborative attitude towards working in a multidisciplinary environment.

Additional Considerations:

• The ideal candidate will demonstrate a strong background in the morphological analysis of tumors, with an ability to integrate pathology insights into broader research contexts.
• Proven track record of developing and implementing novel pathology techniques and contributing to multidisciplinary research teams.

Apply here.

Please also email Kelly Ong your resume after submitting online: kellyong@nus.edu.sg.

Job Description

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy. Focus of our laboratory is more on new and creative algorithm/platform developments rather than application of existing programs. Therefore, skills in computational coding and creativity in scientific method design, together with interest in computational cancer medicine, are critical to the position. Previous experience in machine learning will be a plus. More details on our projects can be found at https://zhanggroup.org.

To apply, please send your CV, a brief description of your research interest and plan, and contact information of three professional referees to Prof Yang Zhang (Email: zhang@nus.edu.sg).

Apply here.

Job Description

The Cancer Immunology lab led by Asst. Prof. Jun Siong Low is a new research group at the Cancer Science Institute (CSI). The lab studies human immunology at the interplay between cancer and infection, and uses high-throughput and comprehensive cell- and genetic-based approaches to better understand the phenotype, repertoire and function of T and B cells in cancer patients, with the long-term goal of translating our findings into the clinics.

We are actively seeking highly motivated Research Fellow (Postdoctoral Fellow) to join our efforts and to lead exciting projects in understanding the biology of T and B cell in tumor immunity.

Interested applicants should send the following in one PDF document to lowjs@nus.edu.sg

• Curriculum Vitae (CV)
• Summary of past research experience and research interests
• Description of long-term plans
• 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

Requirements

• PhD degree in relevant fields such as immunology, bioengineering or cancer biology
• Prior experience in bioengineering or CRISPR screening is highly desirable
• Strong track record of research achievement evidenced by high-quality publications in a relevant field
• Skills in working independently and creatively to solve experimental problems

Effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.
https://careers.nus.edu.sg/job-invite/

Apply here.

The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, 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 Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., 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 Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://csi.nus.edu.sg/researcher/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, 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.

• 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

Apply here.

The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, 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 Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., 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 Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://csi.nus.edu.sg/researcher/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, 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.

• 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

Apply here.

Job Description

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 Director, Prof. 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 Metabolic Bypass of “two-hit” Tumour Suppression by BRCA2 (Cell, 2024) PMID:38608703).

Please refer to https://csi.nus.edu.sg/researcher/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans

At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

Work with PI and other lab members to design, execute and analyse experiments

Communicate findings in both oral and written formats

Qualifications

Requirements

• PhD with 1-3 years relevant post-doctoral experience
• Strong track record of research achievement evidenced by high-quality publications in a relevant field
• High-level experience in hands-on use of a wide range of relevant research methods
• Skills in working independently and creatively to solve experimental problems
• Effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.

Highly desirable (one or more)

• Experience with generation, maintenance and experimentation with GEM models
• Experience in generation, maintenance, manipulation and experimentation involving organoid models
• Experience with CrispR and/or base editing processes, including in organoids
• Experience with preparation and submission of IRB protocols and clinical sample management
• Strong background in immunology

Apply here.