Total 322 Junior Executive level Science / R&D / Research job vacancies

Responsibilities

• Assist in the receipt of all purchases delivered, stock-in and coordination of deliveries.
• Assist in stock request, packing and dispensing of stock to requesting Department / Factory.
• Assist in proper documentation on stock movement and support on stock replenish.
• Assist in the overall organisation and maintenance of the store.
• Ang other duties or tasks as assigned from time to time.

Qualifications and Experience

• Minimum G.C.E '' N'' Level.
• Familiar with using MSExcel ans MSWord.
• Minimum of 1 years of relevant working experience.
• Related experience working in our trade or similar.

Working Hours: Office Hours

Location: Near Paya Lebar MRT

How to apply:

Interested applicants please send resume to 8168 4271 or whatapps for interview appoitment.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Economics%29/32184-en_GB/?st=8F909978C8FA61AC12D1A6387C866A663D30644B

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Assistant to support empirical and theoretical research in macroeconomics, with a focus on innovation, corporate investment, and corporate debt.

Scope and Responsibilities:

• Clean, merge, and maintain datasets from multiple sources
• Conduct empirical analysis and support the preparation of research papers, presentations, and figures
• Participate in regular research discussions and contribute to project development

Required skills and interests:

• Strong interest in macroeconomics/finance.
• Solid training in macroeconomics, econometrics and empirical methods
• Experience with statistical software and familiarity with handling large datasets
• Strong attention to detail and ability to work independently

Qualifications

• Master’s degree in Economics, Finance, or a closely related field
• Strong academic record, particularly in macroeconomics, econometrics and finance courses
• Prior research experience (e.g., thesis, RA work) is preferred

This position is ideal for candidates planning to apply to PhD programs in Economics or Finance. The Research Assistant will gain hands-on experience in frontier research, close mentorship, and exposure to both empirical and theoretical work in the field.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Psychology and Child & Human Development (PCHD).

Project Title:

Evaluating the Effectiveness of the Test Anxiety Survivors' Education-Revised (TASE-R) Program on Test Anxiety, Perceived Academic Stress, Test-Taking Coping Skills, and Well-Being among Secondary and Junior College (JC) Students in Singapore.

Project Introduction:

We are seeking a highly motivated individual who shares our passion in working with youths and promoting positive changes in their school overall psychosocial well-being. Candidates who are interested in mental health issues, psychological well-being, and intervention research on Cognitive Behavioral Therapy and test anxiety, as well as have the genuine interest in making a significant impact on the lives of youths are strongly encouraged to apply. The current project will be to evaluate the effectiveness of a classroom-based intervention program in reducing students’ test anxiety and promoting PERMA wellbeing dimensions and coping skills. This research will employ a cluster-randomized efficacy trial in which intact classes are randomly assigned into either a treatment or control group and involve delivering the program to students in the treatment group. Findings of this project holds important implications for strategies that teachers and school counsellors may adopt to reduce their students’ test anxiety and, at the same time, to increase their psychosocial wellbeing. The successful candidate will work closely with PCHD faculty members.

Requirements:

• Bachelor’s degree with Honors in Psychology

• Experience with conducting psychological and educational research, especially in implementing psychosocial intervention programs with youths.

• Experience in project management for at least 2 years after graduation, preferably in the field of education or psychology, research and analysis

• Experience in data collection

• Skills to carry out literature reviews

• Strong skills to conduct quantitative data analysis using various data analytic tools (e.g., Mplus, SPSS, R Studio etc.).

• Excellent interpersonal, collaborative, written and verbal communication skills. Effective team player who can work independently and flexibly in a small team

• Familiarity with the Singapore education system (mainstream secondary schools & JCs)

• Good organizational skills and able to work within tight deadlines

• Demonstrated excellence in scientific writing, supported by published papers, relative to the candidate’s post-degree research experience.

Responsibilities:

• Take charge of communication with participating schools and students and of coordinating the overall logistics of the implementation of the intervention program.

• Take the lead in administering psychometric surveys and data collection

• Organize, code and analyze quantitative and survey-based data.

• Contribute to the dissemination of research findings including conducting literature reviews, preparing academic publications (e.g., conference presentation, paper, book) and research reports.

• Assist the Principal Investigator in coordinating day-to-day research activities.

• Perform other tasks as required by the Principal Investigator.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Temporary-Junior-Research-Assistant%2C-Computer-Science/32178-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Junior Research Assistant in the Department of Information Systems and Analytics, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: The Junior Research Assistant will be responsible for working closely with the Principal Investigators and lab members on one or more research projects. He/she will work on the development of Velvet, a deductive program verifier embedded in Lean 4, within the Verification and Programming Languages group at NUS. 

Key Responsibilities:

• Implementing and testing new verification features in Velvet
• Write annotated programs to stress-test the specification language
• Contributing to the VelvetMark benchmark suite
• Survey related work in deductive verification
• Extending and maintaining the test suite
• Contributing to research on invariant inference and LLM-assisted verification 

Qualifications

• Bachelor's degree in Computer Science (or related area)
• Strong foundational knowledge of functional programming and type theory
• Familiarity with program verification concepts, including Hoare logic, weakest preconditions, and specification languages like Dafny or Why3
• Hands-on experience in at least one proof assistant or dependently typed language such as Lean 4, Rocq, or Agda

Job Description

• Industry/ Organization Type: Food Manufacturing
• Position Title: R&D Assistant (Food Industry)
• Working Location: Woodlands (Nearest MRT: Admiralty)
• Working Hours: 5 days (Monday - Friday: 8.30 AM – 5.30 PM)
• Salary Package: Basic Salary + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Support the R&D team with seasoning mixing, new product development, and how products are used.
• Support monthly work on new seasonings or new application methods and help prepare promotional items and presentations.
• Request new raw materials or flavours through the Purchasing team, and manage their registration, documentation, and evaluation.
• Perform QC checks (sensory and visual) on finished products from the seasoning line and on incoming or new raw materials.
• Review and compare current and alternative food ingredients.
• Maintain the R&D lab and keep it clean.
• Carry out plant hygiene checks.
• Support HACCP and Halal systems, including upkeep and documentation.
• Do other tasks assigned by the Company when needed.

APPLY NOW!!!

• Minimum Diploma in Food Science or equivalent.
• Preferably at least 1 year of relevant work experience.
• Candidates without relevant experience are welcome to apply; training will be provided.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #81651 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Assistant to undertake the responsibilities towards the development of new photopolymers and biomaterials.

Key Responsibilities:

• RA (polymer chemist) will be hired to manage the development of novel bioadhesives formulations and work with laboratory personnel towards the objectives listed within the relevant grant funding.

• Synthesis and characterization of functional polyacrylate composites using novel photoinitiator chemistry.

• Project management with ability to generate technical reports, journal papers, and liase with industrial collaborators.

• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.

• Assist or Produce high quality reports and documents that consolidate research findings

Job Requirements:

• Bachelor’s in Materials-, Organic- or Polymer Chemistry from an internationally accredited institution.

• Minimum one year of industrial or academic research experience in polymer research, materials science, or adhesives.

• Skills relating to photochemistry, photoinitiators, free radical polymerization, vat polymerization.

• Familiar with polymer characterization techniques such as SEC, XPS, NMR, FTIR

• Ability to work independently and as part of a team with strong initiatives.

• Evidence of project management, communication, and interpersonal skills.

• Strong record of scientific publications in high impact academic journals.

We regret to inform that only shortlisted candidates will be notified

Our esteemed client in the Manufacturing industry is seeking a R&D Assistant to join their dynamic team:

• Employment Type: Permanent
• Position: R&D Assistant
• Location: North, Singapore
• Working Hours: Monday to Friday, Office Hours
• Salary Package: Up to $2,900 + AWS + Bonus

Job Responsibilities:

• Support R&D initiatives in product formulation, development, and application.
• Develop new product variations and innovative application techniques for promotional projects.
• Conduct quality assessments on finished products and materials, including sensory and visual inspections.
• Analyze and compare current and alternative ingredients for optimization.
• Maintain lab cleanliness and ensure operational efficiency in the R&D workspace.
• Assist in maintaining compliance systems (e.g., safety standards, documentation).
• Prepare daily activity summaries and progress reports.

Job Requirements:

• Minimum Diploma or ITE in Culinary, Food Science, Food Technology or any other related field
• At least 1 year of related working experience would be preferred. Training will be provided for inexperienced candidates.

Ready to apply? Here’s how:

• Click the APPLY button, or
• Email your resume (in MS Word or PDF format) to adelin@intuitrecruitment.com. Include the job title in your email subject line for prompt processing.

Only shortlisted candidates will be notified.

By submitting your application, you consent to the collection and use of your personal data under Personal Data Protection Act (PDPA).

Adelin Chong | EA Personnel Reg No.: R1875641

Intuit Recruitment Pte Ltd | EA License No.: 25C2793

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Healthy-Longevity-TRP%29/29705-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant at the Healthy Longevity Translational Research Program and Department of Physiology, Yong Loo Lin School of Medicine. The Department has a strong Health and Biomedical Sciences program.

Appointments will be made on a 1 yr contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator and study team members to ensure the successful completion of on-going projects. The RA’s principal role will be to assist the Research Fellow with experiments, as well as carry out other duties such as procurement and lab management.

Main duties and responsibilities

We are looking for an enthusiastic and motivated candidate who will be actively involved in performing tumorigenic assays, confocal microscopy, flow cytometry, cell biology and biochemistry assays, genome screens, etc. The RA will be working closely with the Principal Investigator, Research Fellows, Research Assistants, Students and the team’s research and clinical collaborators. He/she will also be required to assist with any other duties as delegated by the PI, namely procurement-related matters.

Qualifications

The applicant should possess at least a Bachelor’s Degree in Life Sciences or related disciplines, be passionate and curious about science, possess excellent work ethic, is committed to contributing to science and healthcare via research work and is able to be work well in a fast-paced dynamic team.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Crasta Karen Carmelina at karencrasta@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-Induced-Pluripotent-Stem-Cell-%28iPSC%29-Biobank/32246-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and detail-oriented Research Assistant to join our team at the forefront of iPSC biobanking and automation. The successful candidate will play a pivotal role not only in establishing automation workflow but also in the collection, characterization, and maintenance of induced pluripotent stem cell lines, contributing directly to cutting-edge research initiatives in regenerative medicine, disease modeling, and drug discovery.

Responsibilities:

1. Automation specialist

   - Develop, optimize and troubleshoot automated liquid handling protocols on the Opentrons platform.

   - Designated person in charge of matters for the Opentrons system (assist with creating protocols if required for users interested in using the Opentrons for experiments)

2. iPSC Culture and Maintenance:

   - Execute established protocols for the culture and expansion of iPSC lines.

   - Monitor cell growth, viability, and quality control parameters.

   - Perform routine passaging and cryopreservation of iPSCs.

   - Maintain accurate records of cell culture activities.

3. iPSC Characterization:

- Conduct immunocytochemistry, flow cytometry, and molecular biology techniques to assess pluripotency and differentiation potential of iPSC lines.

   - Perform karyotyping and other cytogenetic analyses to ensure genomic stability.

   - Collaborate with researchers to design and implement experiments for iPSC characterization.

4. Biobanking Operations:

   - Coordinate sample collection, processing, and storage according to standardized protocols.

   - Label, track, and catalog iPSC samples in the biobank database.

   - Implement quality control measures to ensure sample integrity and compliance with regulatory

     requirements.

   - Assist in the development and optimization of biobanking workflows.

5. Data Management and Analysis:

   - Compile and organize experimental data, including cell culture records, characterization results, and

     biobank inventory information.

   - Analyze data using statistical methods and assist in the preparation of research reports and

     presentations.

   - Contribute to the maintenance and updating of laboratory databases and electronic notebooks.

6. Laboratory Support:

   - Maintain cleanliness and orderliness of the laboratory.

   - Assist in the procurement and organization of laboratory supplies and reagents.

   - Support other members of the research team in experimental procedures and technical troubleshooting.

Qualifications

- Bachelor's in Biology, Biochemistry, Molecular Biology, or a related field.

- Experience with Python programming (particularly for scientific research)

- Hands-on experience in cell culture techniques, preferably with human pluripotent stem cells.

- Familiarity with basic molecular biology and cell biology techniques (e.g., PCR, Western blotting, immunocytochemistry).

- Strong organizational skills and attention to detail.

- Ability to work independently as well as part of a collaborative research team.

- Prior experience in biobanking or sample management is advantageous.

- Knowledge of relevant safety protocols and regulatory guidelines in cell culture and biobanking is desirable.

This position offers an exciting opportunity to contribute to groundbreaking research in iPSC biology and biobanking, with potential for career development and growth within our dynamic research environment.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Urban-StudiesQuantitative-Focus%29-Cities-Foresight-Lab%28CFL%29%2CNUS-Cities/32258-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Household Archetyping & Town Geodemographic Modelling (SGHA-TGM) project, commissioned by the Ministry of National Development, aims to build foundational knowledge in Singapore population geodemographics, with a particular emphasis on understanding household lifestyle preferences and their relationships with the built environment. The project is intended to develop the knowledge and technical capabilities to surface insights into the diverse socio-spatial contexts of urban living in Singapore, to support urban planners in anticipating evolving needs, sensemaking sentiments on the ground, and fostering a more inclusive and liveable urban environment.

We seek a highly motivated Research Assistant to contribute to the quantitative components of the SGHA-TGM project. You will develop computational models to enable the discovery of latent population structures, archetypes, and typologies from large-scale datasets. You will work alongside qualitative researchers to interpret and evolve the representational fidelity of groupings and insights derived from data to connect to lived experience and reflect real diversity in urban social life. These outputs will support forecasting frameworks and help planners anticipate evolving household needs at finer spatial scales.

Responsibilities
•    Clean, process, and integrate large population datasets from multiple sources (demographics, survey, behavioral, or administrative data), with differing schemas and granularity.
•   Implement clustering, classification, scenario simulation/projection, and probabilistic modeling techniques (such as statistical matching, spatial disaggregation, generative models) to derive household/resident archetypes from heterogeneous data sources.
•    Prototype, test, and refine different models/algorithms.
•    Collaborate with social science & urban studies researchers to ground quantitative findings in real-world population dynamics.
•    Coordinate with other technical teams to align modeling outputs with downstream projection needs and improve end-to-end workflows.
•    Contribute to data/method documentation, visualisations, and writing reports/publications.

Qualifications

•    Bachelor’s or Master’s Degree in Data Science, Statistics, Computer Science, Urban Analytics, or related quantitative disciplines.
•    Proficiency in Python and/or R, including data manipulation and analysis packages (e.g. SPSS/SAS).
•    Experience with clustering, classification, and supervised ML techniques, and relevant ML libraries (e.g., sklearn, PyTorch)
•    Familiarity with working on large and multi-source datasets; both structured and unstructured.
•    Resourceful and critical with good communication skills; able to work independently while collaborating effectively with interdisciplinary teams of social scientist and planners.

Preferred
•    Experience working with population data (e.g., census), as well as behavioural (e.g., travel survey, choice experiments) and/or spatial data structures.
•    Familiarity with probabilistic models, generative models, graphical models, and/or deep learning.
•    Familiarity with data fusion techniques such as statistical matching and/or marginal fitting.
•    Interest in social/urban applications of data science.

Application Procedure 
Interested applicants should submit a dossier consisting of the following to the NUS Career Portal:
•    a cover letter (maximum 3 pages)
•    up-to-date CV
•    a statement describing their research trajectory, interests and career ambitions
•    contact details for three referees. Only short-listed applicants will be invited to submit reference letters. 

The anticipated start date for the position is 27 April 2026. We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. Further enquiries should be sent to nixiesap@nus.edu.sg (please indicate “Research Assistant (Urban Studies / Quantitative Focus) Application for SGHA-TGM” as the subject heading).

Job Summary:

The Accounts Assistant is responsible for managing the Accounts Payable (AP) functions, ensuring accurate processing of subcontractors invoices, and performing vendor reconciliations. This role reports to Finance Director and also includes handling small accounts, issuing sales invoices, preparing and filing GST returns, and performing bank reconciliations.

Key Responsibilities:

1. Responsible for Accounts Payable (AP) activities.
2. Process subcontractor invoices.
3. Perform vendor reconciliations.
4. Manage journal entries for the AP function.
5. Handle small set of accounts (less than 10 enteries per month).
6. Other ad-hoc duties assigned by Finance Director

Job Requirements

Education and Experience:

• A Nitec or diploma in Accounting, Finance or a related field.
• Minimum of 1 year experience in Accounts Payable, accounting, or a similar role.
• Experience with processing invoices, vendor reconciliations, and journal entries.
• Familiarity with GST regulations and filing procedures.

Skills and Competencies:

• Proficiency in accounting software (e.g. Microsoft Dynamics 365 Business Central )
• Clear and effective communication skills with a positive attitude.
• Ability to work independently with minimal supervision.

Job Description

The laboratory of Dr. Koji Itahana within the Signature Research Programme in Cancer and Stem Cell Biology (CSCB) at Duke-NUS is recruiting a Research Assistant with strong enthusiasm and interest in tumor suppression. The KI lab’s scientific focus is to understand the diverse roles of p53 in tumor suppression and cancer metabolism. Dr Itahana’s laboratory uses a wide range of state-of-the-art molecular biology techniques and investigates the molecular mechanisms underlying cancer development.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and research findings.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication and analyses setting forth progress, adverse trends and appropriate recommendations or conclusions.
• Contribute to some project management, provision of guidance to undergraduate/medical students.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biology, Biomedical Sciences, Molecular Biology, or related field.
• Demonstrated basic knowledge, skills and expertise in supporting various research activities.
• Knowledge of the scientific background relevant to the research area.
• Laboratory experimental skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link:https://careers.nus.edu.sg/job/Research-Assistant-%28Economics%29/32230-en_GB/?st=352FAAFA9107D11AEF26480100AE1680A0F7B206

We regret that only shortlisted candidates will be notified.

Job Description

Work with Asst. Profs. Siddharth George and Martin Mattsson

We seek to hire one full-time research assistant to support our research agenda, “Evaluating Public Sector Governance in Asia” in Development Economics, Public Economics, and Political Economy. For more information about our research see our websites www.martin-mattsson.com and https://sites.google.com/view/siddharthgeorge/home.

This is an excellent opportunity for anyone interested in cutting-edge quantitative social science and/or graduate work in economics. The research assistant will work directly with us and learn about how handle data and code systematically, econometric methods, how to visualize quantitative research results, and how research papers in economics are developed and written.

Job responsibilities

• Clean, analyze, and collect data
• Create visualizations of research results
• Read and summarize research papers
• Assist in administrative tasks related to the research process

Required skills and interests

• A genuine interest in doing quantitative social science research in economics or related fields. If you do not have this interest you will not enjoy the work and will not find the skills you learn on the job useful
• Stata or R coding experience
• Good English written and oral communication skills
• Knowledge of Hindi, Bengali and/or other Indian languages

Desired skills and interests (these are a plus but not required):

• Degree in Economics, Mathematics, Computer Science or related fields
• An interest in development economics
• Knowledge of econometrics and economic models
• Experience with LaTeX and/or LyX
• Experience with web scraping

Time period and location

The RA should be able to start work in Singapore sometime in May 2026 and work full-time for at least one year. They will have weekly meetings with Siddharth and Martin.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Quantitative%29/32170-en_GB/?st=B0D96B26845809F1978CF44462D0B0302EDA974A

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.
They will be working within the team under the Principal Investigator Dr Shihui Jin alongside multiple collaborators and experts.
Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred)
• Statistical competence (Bayesian is advantageous)

Please email the PI at jinshihui@nus.edu.sg for further details.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-Dept-of-Finance/32165-en_GB/?st=210AF4875C297D7054478E3FBA4FE7568D15C4B1

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly skilled and motivated individuals to work with as full-time research professionals for a period of at least one year.  You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers.