Total 47 research assistant job vacancies in The United States of America

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

The NUS Global Asia Institute (GAI) is looking for a full-time Research Assistant to assist the researchers at GAI carrying out research in human behavior related to healthcare, environment, and other fields.

We are looking for someone who is dynamic, a go-getter, an out-of-the-box thinker, and someone who values autonomy and flexibility. The candidate will collaborate closely with a team of world-class behavioral and data scientists. Working in this position would provide the Research Assistant with hands-on experience in running field experiments, and managing big research projects.

Salary benefits will be commensurate with skill set, experience and qualifications.

Qualifications

Candidates must have a Bachelor’s degree in psychology or related fields from a reputable institution

Candidates should have a good knowledge of Microsoft Office.

Candidates should be organized, meticulous and detail-oriented.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Contribution to the experimental study of soft robotic arms inspired to muscular hydrostats. The experimental study includes design and fabrication of experimental set-ups, experimental trials, data collection and discussion.

Qualifications

Engineering degree, skills in design and prototyping, basic knowledge of data collection and analysis.

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.

Other Responsibilities and Duties

Job Description

The National University of Singapore invites applications for Research Assistant role funded by Centre Grant Programme “MOlecular Markers, MEchaNisms and their TherapeUtic Manipulation in CardioVascular Disease (MOMMENTUM-CVD)”> in Yong Loo Lin School of Medicine, Department of Medicine. Research will be pursued across the translational spectrum from molecule to man in the basic and applied (clinical) sciences to provide improved risk stratification, treatment selection and monitoring of response to therapy in CardioVascular Disease (CVD). Key to our research agenda is expanded interrogation of finely annotated cardiovascular clinical cohorts and biobanks acquired in the course of predecessor CGs together with prospective initiatives sparked from these background data sets.

Of the eight themes in MOMMENTUM-CVD, Research Assistant would be assisting with Theme 7: Health Services research and implementation of enhanced post-myocardial infarction management, and Theme 8: Cardioinformatics – analysis of complex data sets, implementing Machine Learning and/or Artificial Intelligence and publishing in scientific journals.

Appointments will be made on a yearly contract basis with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the research deliverables on time. The RA’s principal role is to apply Machine Learning and/or Artificial Intelligence such as pattern recognition, predictive modeling, classification/clustering etc, onto cardiology datasets (clinical & wet lab) and publish findings in NUS whitelisted scientific journals.

Main duties and responsibilities

The Research Assistant will liaise with clinical and basic scientists in MOMMENTUM-CVD to come up with Machine Learning and or Artificial Intelligence methodologies onto cardiology datasets clinical & wet lab and publish findings in NUS whitelisted scientific journals.

Main Responsibilities and Duties

• Perform literature academic review on topics relating to machine learning, artificial intelligence, clinical and basic science data, relevant to existing projects in MOMMENTUM-CVD grant.
• Collect, clean, review and manage datasets from research teams.
• Working with research teams to design, develop machine learning AI algorithm models to meet research aims deliverables for each research projects.
• Experiment, implement, simulation and analysis of these models involving appropriate and relevant metrics.
• To train, refine, evaluate and cross validate these models to ensure accuracy, precision and integrity of analysis.

Other Responsibilities and Duties

• To communicate and collaborate with other research entities and present findings to overseas/local conferences.
• Any other duties relevant to research not mentioned above that are assigned by PI.

Qualifications

1. Bachelor degree in any science technology field.
2. Competent in at least 3 or programming languages such as R, Python, SQL, STAT, MatLAB. (competent in all would be advantageous)
3. Competent in data visualization tools such as Tableau and matplotlib.
4. Previous experiences managing and worked on research datasets in public hospitals or any other healthcare systems would be very advantageous.
5. Able to work independently and in a team, have an investigative and collaborative nature with excellent interpersonal communication skills.
6. Excellent analytical and problem solving skills.
7. Good organization skills with ability to multi-task in fast-pace and dynamic environment.

...

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Teo Zhen Long, at zlteo@nus.edu.sg / zhen_long_teo@nuhs.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.

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

The Research Assistants will be members of the Asia Competitiveness Institute (ACI) research team, working under ACI Director, Professor Paul Cheung, to work on a number of research projects related to Indonesia. The candidates should have experience in policy analysis and are familiar with socioeconomic development of Indonesia.

Qualifications

• Bachelor/Masters degree in Economics, Social Sciences, or equivalent.
• Familiar with socioeconomic development of Indonesia.
• Familiar with working on the large economic datasets for statistical analysis.
• Demonstrate good organizational and analytical skills.
• Excellent verbal and written English.
• Able to multitask and manage tight timelines.
• Able to work in a team as well as independently. Must be highly self-motivated.
• Able to commit to at least 1 year of service.
• Those with no experience are welcome to apply.

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

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator Chang Yi-Jun and lab members on distributed graph algorithms. He/she should possess experience or interest in algorithms and CS theory research.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

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

The National University of Singapore invites applications for Research Assistant in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

We are seeking a passionate, detail-oriented Research Assistant to assist in community based studies on early detection and prevention of cognitive decline in seniors.

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting research studies according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

1. Coordinate the submission of new ethics applications, study amendments and annual reports.
2. Work closely with principal investigators, research fellows, and program manager to execute studies.
3. Conduct research study activities like participant recruitment, data collection, data analysis and data management
4. Maintain the highest standard of professional conduct and record keeping in accordance with institutional policies, ethics requirements and local regulations.
5. Assist in performing literature searches and producing reviews of the literature to support the delivery of research projects.

Main Duties and Responsibilities

1. Assist with routine preliminary analyses; maintain research data, write summary reports, and report findings to investigator.
2. Provide research updates to study team on regular basis.
3. Assist with any other duties of a similar nature that are delegated by the PI
4. Maintain confidentiality on participants’ data.

This list should not be regarded as exhaustive, and the postholder will be expected to deliver other duties relevant and appropriate to this post.

Qualifications

1. Qualification: Degree in Life Science, Nursing, Psychology or relevant health-related fields
2. Experience or interest in conducting research studies with seniors.
3. Able to work independently and meticulously.
4. Good written and communication skills.
5. Bilingual - Besides English, a good command of Mandarin is preferred as many of our elderly participants speak only Mandarin. Other common Chinese dialects will be an added advantage.
6. Possess strong interpersonal skills.
7. Flexibility to work on weekends (if needed. i.e for outreach events).
8. Team player.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at kwh.yap@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 3 referees.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.Explore the link provided to learn additional details about the available job opportunity:

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

The National University of Singapore invites applications for Research Assistant in the Department of Microbiology and Immunology, Yong Loo Lin School of Medicine. Prof Macary’s Laboratory, which is located at the Life Sciences Institute. The lab is fully equipped with state-of-the-art instruments, machines and core facilities. The project focuses on studying the role of alloantibodies in mediating organ rejection. Appointment will be made on a one-year contract basis in the first instance, with the possibility of extension for at least one more year. The position is available immediately.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with the other study team members and will provide assistance to the project.

Main duties and responsibilities

The RA will be able to:

1. Provide administrative support to the project.
2. Undertake the day to day running of the project;
3. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
4. Assist with any other duties in lab of a similar nature that are delegated by the PI.

Qualifications

The applicant should have:

• A Bachelor degree in Life Sciences (biomedical sciences preferred)
• Experience in whole blood processing, flow cytometry and ELISA
• Experience in mitochondrial work preferred
• Keen to learn new techniques as needed. Be well-organized, dedicated and a team player

Candiate must be agreeable for work out of hours (eg evenings and weekends). They will be compensated for during the work week.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project will focus on multi-agent exploration and navigation in unknown areas, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, or to reach a given position and discover the world to do so as rapidly as possible. Throughout this work, we will assume that robots can communicate their observations (e.g., partial map of the environment) during search, via local or global communications, so they can update their representation of the domain online. These tasks will be approach using large language models (LLMs), both to improve performance and to provide an interesting level of explainability.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

• Literature review/summarizing skills

• Simulations abilities (e.g., AirSIM, ROS Gazebo)

• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)

• Experience publishing papers, and supervising undergraduate/master’s students

• Good writing/spoken communication skills

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

1. To optimise and perform experiments under the guidance of the Principal Investigator to study the pathogenesis of cardiovascular diseases.
2. To collect, record and analyse experimental data.
3. To assist with the preparation and completion of risk assessments.
4. To order and take stock of research reagents and materials.
5. To participate in general laboratory activities to ensure the efficient functioning of the lab.

Qualifications

Essential qualifications, knowledge and experience

1. Bachelor or Master’s degree in a biomedical sciences, biological sciences or a related, relevant subject.
2. Skills of cell and molecular biology techniques.

Desirable knowledge and experience

1. Experience in cardiovascular research.
2. Experience in single-cell sequencing.
3. Experience in immunohistochemistry.
4. Evidence of research productivity (e.g. research publications).

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

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

a) Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)

b) Provide effective updates to the stakeholder on the work done

c) Liaise with the relevant departments for logistic and finances related matters

d) Document and tabulate financial payments received and / or made to support the study

e) Up keeping study materials including procurement and inventory tracking.

f) Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date

g) Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

2.1 Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

3.2 Able to work independently and meticulously

3.3 Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.

3.4 Possess strong interpersonal skills

3.5 Flexibility to work on weekends (if needed. i.e for outreach event)

3.6 Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at kwh.yap@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 3 referees.

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

Key Responsibilities
Assist Principal Investigator (PI) in data preparation, analysis, and miscellaneous research support.

- **Research Support**
- Assist in crafting research direction for multiple projects
- Prepare findings for dissemination across multiple formats, including PowerPoint/PDF presentations, papers

- **Data Preparation and Analysis**
- Prepare data for analysis; understand the context of the research to organize and process complex datasets effectively
- Code up analyses proposed by PI
- Generate replication packages for analyses.

- **Collaboration**
- Work collaboratively with other researchers and team members involved in the research project, contributing to a cohesive and productive research environment.

Qualifications

**Minimum Education Qualification: A Bachelor's degree (or equivalent experience) in Economics, Computer Science, Mathematics, or related areas.

- Proficiency in a general-purpose coding language (Stata and Python preferred)
- Experience in web scraping, machine learning, and numerical optimisation
- Able to communicate effectively and build rapport with individuals from different backgrounds
- Able to work independently but also as a team
- Excellent work planning and time management skills
- Excellent problem-solving skills
- Able to multi-task and work under pressure in a changing environment

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Conservation and restoration of carbon-rich Southeast Asian forests are of tremendous ecological and economical importance to ASEAN countries in the combat of climate change. Yet exact spatial distribution, health status and carbon stock of these forests remain poorly known. While a great many conventional satellite data sets have been used to estimate forest carbon stocks, most are not yet accurate enough to ensure the credibility and integrity of the marketplace for nature-based climate solutions. This 3-yr project funded by Singapore’s Academic Research Council, Ministry of Education (MOE) aims to improve the measurement forest structure and aboveground biomass by linking these remote sensing observations to ground measurements of representative ecosystems in Southeast Asia.

Invitation to apply

The Department of Geography at the National University of Singapore invites applications for a position as research assistant in a project on remote sensing of tropical forests. Prior field experience in tropical ecosystems is a must. The position is expected to begin in Jun 2024 and will be for a period of 12 months.

The Role

• You will be part of a research team that studies forest structure and carbon dynamics in different forest ecosystems in Singapore.
• In coordination with the other members of the project team (researchers and students), you will help collecting field data, with both tree survey and terrestrial laser scanner.
• Your will spend a large proportion of your time on field work.
• Support project administration and management, including but not limited to, purchase of equipment and consumables, and preparation of SOPs, RA or other related documents.

Qualifications

Required skills and experience

• A bachelor’s degree in environmental sciences, ecology, geography.
• Experience with field work and associated lab work, preferably in both coastal and forested ecosystems.
• Highly organized and proactive, and with the ability to work independently.
• Willingness to undertake extensive field work. On a regular basis, field work might require you to stay and work for several-day periods on Pulau Ubin.

Desirable skills

• Experience with using GIS software (e.g., QGIS or ArcGIS).
• Experience with remote sensing data collection and/or processing. Experience with drone operation is highly preferred.
• Experience with managing and processing data with programming languages (e.g., R, Python).

Terms of Appointment and Application

1. The appointment will be tenable for a maximum period of 12 months.

2. The position comes with very competitive remuneration.

3. Singapore citizens and permanent residents are eligible for provident fund benefits.

Interested applicants are invited to apply online through the NUS Career Portal with the following documents i) a letter of interest, ii) a Curriculum Vitae and iii) the contact details for two references.

If you have any queries, kindly contact Asst. Prof. Hao TANG via email: hao.tang@nus.edu.sg.

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

• Perform numerical and finite element analysis of fiber-reinforced composite specimens, tanks and pipes.
• Optimize lay-up, materials selection and design of thermoplastic composite tanks and pipes.
• Model and optimize automatic fiber placement (AFP) and filament winding (FW) processes for thermoplastic composites.
• Perform limited experimental characterization of mechanical properties of thermoplastic composites.
• Work closely with other work packages (WP) within the program.

Qualifications

• PhD from reputable university in applied mechanics.
• Expertise in fiber-reinforced composites.
• Proficient in advanced finite element and numerical analysis.
• Experience in research in mechanical engineering and fiber-reinforced composites preferred.

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

The Department of Civil and Environmental Engineering at the National University of Singapore is hiring a post-doctoral Research Fellow (RF). The successful candidate will work on numerical simulation study of local sediment transport (by particle method and finite volume method) and experimental study.

Job Requirements

• Possess a recognised PhD degree in civil engineering or a related discipline.
• R&D experience in coastal engineering, particularly in the area of water-sediment-structure interaction
• Familiarity with particle method and finite volume method
• Strong writing and communication skills.
• Ability to work individually and independently and/or a team
• Open to fixed-term contract.