Job Description

The Centre for Quantitative Medicine (“CQM”) in Duke-NUS Medical School invites applications from outstanding candidates to join a talented team of data analysts, data scientists and biostatisticians supporting cutting-edge research in a world class academic medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services cluster, a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. CQM is an academic centre for quantitative scientists and strives to bring the quantitative science and biomedical research communities together.

We invite applications for a Research Assistant/ Research Assistant (Senior) position for research studies related to Intensive Care Unit (ICU) and hospital length of stay after general ward admission from the Emergency Department.

The successful candidate will perform a variety of research activities which include but not limited to:-

• Perform systematic review on the literature.
• Conduct data pre-processing and data cleaning using R software.
• Write scientific reports and contribute to research papers.
• Collaborate on multiple projects within the lab.
• Attend project meetings and join journal clubs.
• Perform other academic duties as required by the Principal Investigator(s).

Job Requirements

• Bachelor's Degree in Statistics, Computer Science or other related disciplines. (Degree must be conferred by the start date of the appointment).
• Prior experience in analysing clinical data.
• Have experience with systematic reviews.
• Possess good communication and writing skills.
• Relevant prior work experience in research or healthcare will be advantageous.
• Self-motivated, a fast learner and team player with excellent interpersonal skills.
• Have good work ethics and a positive working attitude.
• Proficient in MS Office applications; Proficiency in R programming will be an advantage.

Interested applicants can send their applications including a CV and Cover Letter. We review applications on a rolling basis and regret that only shortlisted candidates will be notified.

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

EDUCATION OFFICERS (Secondary Levels)

If you have a professional teaching qualification (such as the Postgraduate Diploma in Education or Diploma in Education from the National Institute of Education) and relevant content knowledge, we welcome you to join us as Education Officer for the following positions:

• Aesthetics (Music / Art & Design)
• English Language & Literature
• Mother Tongue (Chinese Language/Tamil Language)
• Humanities (Geography)

REQUIREMENTS

Possess relevant teaching qualifications.

• Experience in teaching the related programmes in local secondary schools/Junior College.
• Overseas teaching experience may be considered too.
• Passionate in educating and interacting with student

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

As a Research Associate (Scientific Officer), you will be tasked but not limited to planning and executing the grant-making process, annual budgeting, exploring funding opportunities, and managing documents and deadlines. You will need to provide consultation and administrative support to Programmatic Theme Leads, Principal Investigators and other faculty on operational and grant related matters. You will serve as liaison with NUS research offices, Office of Legal Affairs, Industry Liaison Office and external funding agencies on issues of intellectual property, project and research collaboration agreements, MTAs, NDAs, etc. You will also be working closely with the Outreach, HR and Finance department on grant administrative and research events.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. At least 2 referees including their name, contact information (email) and relationship to applicant

Job Duties

Research Grant Management and Coordination

• Assist with grant applications and managing the review process with proper documentation on IRB/ DSRB, IACUC ethics/safety & risk protocols, regular progress/ appraisal/ other research regulatory requirements
• Promote the development of external funding strategies for research, academic projects, and institutional priorities
• Provide resources and assistance to faculty, staff, and administrators in searching for external funding opportunities, budget preparation and updating biosketches of Principal Investigators
• Assist with preparation and submission of requests for external funding, including grants, sub-awards, and contracts
• Ensure that policies and procedures for compliance with research-related regulations are up-to-date and reviewed regularly.
• Provide bibliometrics on research grants as required

Research Program & Project Management

• Provide strategic input for the development of proposals for project and budgeting
• Develop, manage, and evaluate research themes through direct collaboration with Principal Investigators, clinicians and Theme Leads to strengthen the strategy for each of the projects and coordinate these toward building a cohesive program
• Coordinate the development and maintenance of effective research themes group communication systems
• Preparation of budgets for research grants, virements and tracking of grants
• Planning and scheduling of research meetings, writing meeting minutes and coordinating research/other meetings as well as following up decisions made and other necessary actions as required
• Ensure good and tidy document housekeeping and timely correspondence:
  Maintain letters of award, approvals, amendments, etc.
  Maintain grants data and progress reports

Qualifications

• At least Master's Degree in Life Sciences, Medicine, or related field
• Preference will be given to candidates with experience in:
  Science Project Management
  Research Grant Management or Administrative
  Scientific legal matters e.g., MTA, service agreements, RCA, patent filing etc.
• Able to work independently, effectively and a good team player
• Proactive, meticulous, analytical, resourceful and organized
• Demonstrated ability to deliver results to the appropriate quality and timeline metrics.
• Excellent writing and reporting ability
• Excellent communication and presentation skills
• Proficient in Microsoft Suite (including Word, PowerPoint, Excel, Outlook, and Teams), Adobe and Zoom applications

Job description

We are looking for highly-motivated and enthusiastic individuals with good AI/machine learning/deep learning skills to work on a new initiative on developing an AI approach for scoring of tumor epitope immunogenicity, aiming to better inform the cancer vaccine formulation and predict treatment response.

Successful candidate will work with a multidisciplinary team of bioinformaticians, immunologists, technical scientists, and oncologists to adopt, benchmark, and/or develop novel AI approaches which enable effective integration of multi-omics data (including whole-exome sequencing, RNA sequencing, proteomics, spatial-omics, immuno-peptidomic, and histological image data) for the prediction/ranking of tumor epitope immunogenicity. Successful candidate will have the opportunity to tap into a large pool of biomedical data of various forms and to establish a niche research area in AI-enabled (spatial) multi-omics cancer study.

Job requirements:

• Bachelor degree in the field of bioinformatics, computer science, computer engineering, or other data science intensive program. With expertise in at least one of the following areas: bioinformatics, data mining, machine and statistical learning, deep learning
• Possess minimum 2 years of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on biology, data analytics, machine learning, deep learning
• Proficient in Python or R
• Deep learning programming skill is a plus
• Able to deliver under tight schedule
• Good team player with both research and data analytics ethics
• Good interpersonal and communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job description

We are looking for highly-motivated and enthusiastic individuals with good AI/machine learning/deep learning skills to work on a new initiative on developing an AI approach for scoring of tumor epitope immunogenicity, aiming to better inform the cancer vaccine formulation and predict treatment response.

Successful candidate will work with a multidisciplinary team of bioinformaticians, immunologists, technical scientists, and oncologists to adopt, benchmark, and/or develop novel AI approaches which enable effective integration of multi-omics data (including whole-exome sequencing, RNA sequencing, proteomics, spatial-omics, immuno-peptidomic, and histological image data) for the prediction/ranking of tumor epitope immunogenicity. Successful candidate will have the opportunity to tap into a large pool of biomedical data of various forms and to establish a niche research area in AI-enabled (spatial) multi-omics cancer study.

Job requirements:

• Bachelor degree in the field of bioinformatics, computer science, computer engineering, or other data science intensive program. With expertise in at least one of the following areas: bioinformatics, data mining, machine and statistical learning, deep learning
• Possess minimum 5 years of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on biology, data analytics, machine learning, deep learning
• Proficient in Python or R
• Deep learning programming skill is a plus
• Able to deliver under tight schedule
• Good team player with both research and data analytics ethics
• Good interpersonal and communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• To focus on bridging the knowledge gap of vector–pathogen-host interactions in mosquito-borne disease transmission. To understand the immune and pathogenic mechanisms during mosquito borne-virus infection to guide the development of targeted and effective control and treatment strategies
• Conduct laboratory experiments in vaccine/drug testing and perform data analysis for industry/research collaboration projects
• Work with patient cohorts and relevant models (both in vitro and in vivo) of infectious diseases
• Perform meticulous recordkeeping and able to draft delivery report to industrial partners
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, Biochemistry or related field
• 1 to 2 years of relevant experience or applicants with relevant academic experience are welcome to apply.
• Experience with cell culture models, mouse models, animal studies, cell biology, flow cytometry, serological and molecular techniques, handling with BSL-2 and BSL-3 pathogens will be an asset
• Experience with industry project management
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Highly motivated and able to work independently
• Team player with good interpersonal skills
• Good spoken and written communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

JOB DESCRIPTION:

We are seeking a dedicated Research Officer to join our team in developing an innovative artificial intelligence (AI) solution aimed at predicting responses to cancer immunotherapy (IO). The role involves assisting in the development and implementation of deep learning models, participating in data analysis, and interpreting multiplex immunofluorescence and histological images. The successful candidate will contribute to identifying and validating novel spatial biomarkers, collaborate in the design and execution of experiments, assist in the preparation of scientific reports, presentations, and publications, and actively engage in interdisciplinary team meetings and discussions. This role is a unique opportunity to contribute to a cutting-edge area of cancer research and AI application.

JOB REQUIREMENT:

• Bachelor’s degree in the field of bioinformatics, computer science, computer engineering, Life Sciences, or other data science intensive program.
• Proficiency in deep learning, machine learning, and image analysis, using Python, R, and GPU computing.
• Basic knowledge on cancer biology, bioinformatics, biostatistics.
• Possess minimum 1 year of relevant work experience.
• Ability to work independently to translate research ideas into programs with efficient coding.
• Good team player with both research and data analytics ethics.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Highly motivated, committed, independent, and have passion for research.
• Proficiency in project management and multitasking, strive under pressure.
• Meticulous, good analytical, technical, and problem-solving skills.
• Good interpersonal, communication and organizational skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated Research Officer for the IFP in the Oncology Discovery team at EDDC. The successful candidate will undergo an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. This is an exciting opportunity to be a part of the team working on the discovery of novel therapeutics and engaging in preclinical drug development from target exploration to drug candidate selection.

Principle Roles & Responsibilities:

• Develop and perform biochemical, biophysical and cellular assays for functional characterization of small molecules and biologics.
• Analyze and present experimental data in a clear and concise manner, demonstrating a good understanding of its utilization and implications in the context of drug discovery.
• Perform molecular cloning, stable cell-line generation and CRISPR/Cas9 genome editing.
• Support laboratory housekeeping, safety check, SOP writing and other administrative and compliance-related processes.

Requirements:

• Degree or postgraduate degree in biology, biochemistry, biomedical sciences or related disciplines.
• At least 5 years of relevant experience
• Proficient in designing and conducting experiments within the areas of cancer biology.
• Experience in molecular biology and genome editing using CRISPR/Cas9.
• Experience in establishing high-throughput screening assays with the aim of identifying hits is a plus.
• Attention to detail, strong analytical and problem-solving skills.
• Ability to multitask and prioritize tasks, deliver results within timelines.
• Good written and oral communication skills, with meticulous record-keeping.
• Possess strong interpersonal and collaborative spirit.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated Research Officer for the IFP in the Oncology Discovery team at EDDC. The successful candidate will undergo an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. This is an exciting opportunity to be a part of the team working on the discovery of novel therapeutics and engaging in preclinical drug development from target exploration to drug candidate selection.

Principle Roles & Responsibilities:

• Develop and perform biochemical, biophysical and cellular assays for functional characterization of small molecules and biologics.
• Analyze and present experimental data in a clear and concise manner, demonstrating a good understanding of its utilization and implications in the context of drug discovery.
• Perform molecular cloning, stable cell-line generation and CRISPR/Cas9 genome editing.
• Support laboratory housekeeping, safety check, SOP writing and other administrative and compliance-related processes.

Requirements:

• Degree or postgraduate degree in biology, biochemistry, biomedical sciences or related disciplines.
• Proficient in designing and conducting experiments within the areas of cancer biology.
• Experience in molecular biology and genome editing using CRISPR/Cas9.
• Experience in establishing high-throughput screening assays with the aim of identifying hits is a plus.
• Attention to detail, strong analytical and problem-solving skills.
• Ability to multitask and prioritize tasks, deliver results within timelines.
• Good written and oral communication skills, with meticulous record-keeping.
• Possess strong interpersonal and collaborative spirit.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Overview:

We are seeking a highly motivated and experienced Lead Research Officer with expertise in synthetic biology and bioinformatics to spearhead our innovative projects at the intersection of these fields. The ideal candidate will drive forward our research agenda, leveraging their deep understanding of synthetic biology principles and bioinformatics tools to lead interdisciplinary teams towards project success. This role requires strong leadership, technical proficiency, and strategic thinking to advance our scientific objectives and contribute to groundbreaking discoveries in synthetic biology.

Responsibilities:

Strategic Research Leadership:
Lead the design and execution of research projects at the forefront of synthetic biology, integrating bioinformatics approaches for data analysis and interpretation.
Develop and communicate a clear scientific vision, setting strategic research goals aligned with organizational objectives.

Project Planning and Execution:
Develop comprehensive project plans, timelines, and milestones in collaboration with cross-functional teams.
Oversee project execution, ensuring adherence to timelines, budgets, and quality standards.
Provide scientific guidance and technical expertise to research teams, troubleshooting challenges and driving innovative solutions.

Bioinformatics Analysis and Integration:
Apply bioinformatics tools and methodologies to analyze genomic, transcriptomic, and proteomic data relevant to synthetic biology projects.
Integrate bioinformatics analyses into experimental design and data interpretation, driving insights and guiding research directions.

Team Leadership and Mentorship:
Mentor and support team members, fostering a collaborative and inclusive research environment.
Provide scientific leadership, guidance, and technical training to research staff, empowering them to excel in their roles.

Communication and Collaboration:
Communicate research findings, progress, and implications to internal and external stakeholders through presentations, publications, and reports.
Collaborate with academic and industry partners to leverage complementary expertise and advance research objectives.

Regulatory Compliance and Ethical Standards:
Ensure compliance with regulatory requirements and ethical standards governing synthetic biology research.
Collaborate with regulatory affairs teams to facilitate regulatory approvals and adherence to best practices.

Requirements:

• B.Sc in Synthetic Biology, Bioinformatics, Molecular Biology, or related field.
• At least 8 years of relevant experience
• Extensive experience leading interdisciplinary research teams in synthetic biology or related fields.
• Proficiency in bioinformatics tools and programming languages commonly used in genomic and proteomic analysis (e.g., Python, R, BLAST, UCSC Genome Browser).
  Strong understanding of synthetic biology principles and techniques, including DNA synthesis, assembly, and characterization.
• Excellent leadership, communication, and interpersonal skills, with a track record of fostering collaboration and innovation.
• Experience with regulatory compliance processes and standards applicable to synthetic biology research (e.g., biosafety regulations) is preferred.
• Demonstrated ability to develop and execute strategic research plans, driving scientific advancement and contributing to organizational goals

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education.

The Signature Research Programme in Health Services and Systems Research (“HSSR”) at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work in Cardiovascular Health Research Services Unit established under the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) national clinical translational programme. He/she will assist a team of health economists and perform a variety of activities relevant to the planned economic evaluations for health interventions including but not limited to:-

Conduct literature reviews to evaluate the potential value of health innovations.

• Perform data cleaning, handling and analysis.
• Perform economic evaluations in healthcare (cost analysis, cost-effectiveness analysis, cost-utility analysis or budget impact analysis) with guidance.
• Assist in drafting research abstracts and manuscripts.
• Assist in preparation of PowerPoint presentations to various stakeholders.
• Assist in preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis and engage and collaborate with various stakeholders).
• Support secretariat and administrative functions pertaining to the health economics team at HSSR.

Job Requirements

• Bachelor’s or Master’s Degree in Public Health or other related fields.
• Minimum 3 years of working experience with quantitative data.
• Adept at working with data, including processing raw data to visualise trends and deciphering patterns and ability to handle large data sets.
• Prior experience in various quantitative research methods will be advantageous.
• Experience or training in health economics will be an advantage.
• Have experience with R programming language, and a willingness to learn more applications.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work in a team, with dynamic reporting lines and multiple stakeholders.
• Able to work independently with limited supervision.
• Action-oriented, highly motivated and target-focused.

We regret that only shortlisted candidates will be notified.

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo’s laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases.

Reference: www.adrianteolab.com.

Qualifications / Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent
• Deep commitment and interest in research, demonstrated from previous research experience.
• Minimum 6 months prior research experience in the Biomedical field
• Experience with mammalian cell culture and molecular biology techniques
• Experience with animal work and surgical techniques
• Experience with mammalian stem cell work will be valued.
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team.
• Excellent communication (verbal and written) and presentation skills.
• Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued.

(Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of three referees.)