Total 1,182 Full-time clinical research job vacancies in Remote - Rhode Island

School of Social Sciences is looking for a candidate to join them as a Research Fellow/Research Associate. The Research Fellow/Research Associate will be a key member of the project team involving research on education, internship and employment outcomes.

Key Responsibilities:

• Conducting research on topics related to education and employment outcomes.
• Assisting with the collection and consolidation of individual level data on internships and graduate employment.
• Compiling, processing, and analyzing data using statistics and econometrics software such as STATA and R.
• Preparing sections of analysis, writing manuscript drafts, and grant proposals.
• Working with relevant institutional units to obtain and understand the data and results.
• Liaising with individuals outside the team to handle any administrative work regarding the project.

Job Requirements:

• PhD or Masters in Economics specializing in Applied and Empirical Economics.
• Good research, communication, and management skills.
• Ability to work independently.
• Good track record in relevant research and a healthy line of papers and work-in-progress.
• Experience in empirical research, particularly research design, empirical methodologies, and scholastic writing of journal articles.
• Excellent data analytics and econometric skills.
• Proficient in econometrics software such as STATA and R.
• Experience with project management and grant applications is preferred.

We regret that only shortlisted candidates will be notified.

EcoLabs Centre of Innovation for Energy (EcoLabs) invites applications for the position of Project Officer/Research Engineer/Research Associate.

Key Responsibilities:

• Working as part of the sustainability team, liaising with both clients and partners to deliver quality ESG and sustainability services
• Involved in ESG and sustainability consultancy projects which could include, but are not limited to developing carbon assessment, ESG reports, life cycle assessments, carbon assessment platform and other related deliverables
• Assist in analyzing and interpreting ESG and carbon related data for all ESG and sustainability projects
• Support for business development to further expand the team’s ESG and sustainability related services
• Conduct relevant market research on key ESG and sustainability trends
• Support for capability building activities like training sessions or workshops on ESG and sustainability
• Work with developers to enhance features of the in-house carbon and Life Cycle Assessment (LCA) platforms
• Update the carbon-related database of all platforms regularly

Job Requirements:

• Master or Bachelor degree, in engineering, science, business, environmental science or any relevant field.
• Preferably 2-3 years of working experience in the area of sustainability or ESG.
• Entry level candidates with strong sustainability and ESG backgrounds, are welcome to apply.
• Prefer to be knowledgeable on different ESG/sustainability accounting and reporting frameworks/standards
• Familiarity with the concept or knowledge of Life Cycle Assessment (LCA) would be advantageous
• Strong quantitative analytical skills, interpersonal and communication skills
• Professional certifications in sustainability or ESG would be a plus

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Scientist or Research Engineer II who will work on developing algorithms using large language models for Automatic Speech Recognition (ASR) tasks with the key goal to develop ideas into publications and patents. The new headcount will also assist in processing speech data, implementing and evaluating deep learning models, and integrating the model with other project components and demo. Relevant experience and knowledge in speech and language processing and well-known speech processing frameworks is a must.

Key Responsibilities:

• Research and develop relevant speech and language technologies to facilitate the project requirements – large language model and speech recognition for AI applications.
• Conducting regular model training and evaluation for ASR tasks.
• Regularly reporting experimental results to supervisor and project funders, propose solutions for further improvement and ensure targeted deliverables are met at each project deliverable milestones.
• Organize and prepare acoustic and text data for text to speech and speech recognition training using end-to-end/deep learning frameworks such as Huggingface, Whisper, ESPnet.
• Write document and transfer developed models to engineering team and/or project’s funder for replication and future usages.
• Publish papers on top-tier conferences/journal in the relevant fields.
• Collaborate with engineering team to develop demonstration systems.
• Managing team’s computing resources to support team’s research experiments.

Job Requirements:

• PhD or Master’s Degree in computer science/engineering or related fields.
• Experience with large language model, speech and text data processing, data preparation and organization for deep learning model training.
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell.
• Having prior experience with speech processing frameworks such as ESPnet, Wenet, Whisper, Kaldi.
• Having solid background in deep learning for speech and language technologies, transformers and end-to-end ASR.
• Prior experience with ASR for accented English and/or children speech is strongly preferred.
• Having publications at top-tier conferences in speech processing fields such as Interspeech, ICASSP is a plus.

We regret that only shortlisted candidates will be notified.

Basic Functions:

Leads a project for assay design and developments, co-ordinate stability studies and marketing supports (trouble shooting assays).

Duties:

• Plan and conduct experiments according to project plans and keep timelines
• Design and conduct investigations and experiments, record and analyze or interpret the results in support of project development objectives, keep accurate records of work undertaken
• Supervise and support other team members in planning and execute experiments
• Follow standard operating procedures and safety guidelines and maintain a clean and orderly environment
• Engage in continuous learning and skill development
• Maintains and implement ISO 13485 / FDA QSR 21 CFR: PART 820 and other relevant International standards and regulations
• Communicate and collaborate with other professionals in the lab
• Ensure necessary and effective support for operations and marketing on technical issues, customer special requirements, complaint and problem solving
• Assist new product clinical trials and new product transfer and provide necessary supports such as developing procedures and standards for product launching
• Conduct initial review for study protocols & reports and other documents to support R&D projects prior to external review
• Identify process problems, suggests improvements, and initiates trouble-shooting.
• Provide adequate and appropriate training for subordinates
• Assist with lab planning and equipment calibration and maintenance
• Other projects as assigned by department manager

Requirements:

– Ability to: Lead a project team in carrying out the task.

– Knowledge of: : Immunodiagnostics, microbiology

– Education: PhD; MSc/MEng; Good Honors degree; or equivalent.

– Experience: At least 2-6 years of relevant work experiences

The Delta-NTU Corp Lab invites applications for the position of Research Associate.

Key Responsibilities:

• To construct, control and test the proposed gripper.
• To improve the design of the gripper
• Quarterly reports and presentations on the progress of the project

Job Requirements:

• MSc. in Mechanical Engineering or similar
• Entry level candidates are welcome to apply
• Competent in design, mechatronics interface and programming

We regret that only shortlisted candidates will be notified.

To support research project working with international organizations, academia, and industries, and to work in the engineering of natural plant-based novel materials and applications, School of Materials Science Engineering (MSE) is looking to recruit a high-caliber postdoctoral fellow who has strong experience in the fields of engineering research project with techno-economic assessment. Candidates with experience in international project proposals and multidisciplinary international research projects management, will be considered first.

Key Responsibilities:

• Manages the international project on municipal solid waste management on environmentally sustainable cities and delivers the project outcomes.
• Collects and prepare data/ information/ proposal required for research-related funding and grant call process.
• Conduct experiments related to natural biological materials, especially plant-based biomaterials such as pollen, sap, seed, and etc.
• Assist in interpreting and applying processes and procedures to conduct/monitor project progress.
• Gathering information/ data and prepare documents for reporting/ papers.
• Assists in and delivers training and coaching new members with relevant laboratory/ technical skills.

Job Requirements:

• Ph.D. in Chemistry /Chemical Engineering / Electrical / Electronic / Mechanical / Biology / Bioengineering / Materials Science
• Possess intermediate to advanced knowledge on energy and climate resilient strategies, waste management policies, and techno-economic assessment on research project.
• Familiar with latest progress in climate mitigation adaptations in various industries.
• Experienced in wet laboratory techniques.
• Experienced in international research projects.
• Highly adept in working with international organizations, government offices, universities, and industries
• Excellent laboratory management, communication, and organizational skills
• High level competency in writing proposals
• Strong motivation for paper publication
• Highly innovative and forward-thinking
• Able to work independently and within teams
• Dedicated and able to meet deadlines

We regret that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a University Research Institute at NTU with a mission to conduct fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS, please visit http://www.earthobservatory.sg.

EOS invites applications for the position of Research Assistant to join the EOS Remote Sensing Lab (EOS-RS) and work towards developing automated capabilities for satellite-based monitoring of natural hazards and mapping of disasters across Southeast Asia. The project aims to support mapping floods, land height change, volcanic and tectonic deformation, coastal change, and earthquake studies, and to provide timely information to regional decision makers and disaster responders across the region.

Key Responsibilities:

• Help with software development of new features and mission control of a near-real-time, partially automated system that will use remote sensing data for monitoring of hazards and mapping of disasters
• Development of additional features in our web-based interface according to user requirements
• Coordination with scientists at the Earth Observatory of Singapore to integrate post-processing algorithms for Synthetic Aperture Radar (SAR) data into the disaster response system
• Troubleshoot issues raised and develop fixes to ensure our system is always ready for response

Job Requirements:

• Bachelor’s degree in information engineering, computer science, or data analytics
• Experience with Python, Javascript and related tools and libraries
• Experience working on cloud-computing platforms and remote sensing data to map natural hazards and disasters is advantageous
• Willingness to learn tools associated with cloud-based distributed systems (e.g. AWS), web development (HTML, CSS, JavaScript, Docker, Elasticsearch)
• Willingness to learn scientific processing software and tools
• Strong English and communication skills, both written and oral as medium of communication within the institute and for ease of communication with international collaborators
• Strong program management skills (project workflow planning, trouble shooting, etc.)

Interested applicants should submit a CV, cover letter (explaining (a) reasons for being interested in the position and (b) a description of career hopes and aspirations), and the names and contact information for two referees. Work examples (e.g., illustrations) would also be helpful. Incomplete applications will not be considered. Questions can be directed to Assoc Prof Sang-Ho Yun (sangho.yun@ntu.edu.sg).

We regret to inform that only shortlisted candidates will be notified.

A Research Assistant position is currently available in the Earth Observatory of Singapore (EOS).

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Cluster 1 PI Jingyu Wang will decipher the interrelationships between the large-scale climate conditions and local extreme events.

The Research Assistant will be based in EOS and will contribute to the development and application of high-resolution models, incorporating physical-based or machine learning methods for climate change studies.

Key Responsibilities:

• Run and test numerical weather prediction models (e.g., MPAS, CESM-VR, E3SM-RRM, WRF, or UM) for atmospheric science and climate change studies
• Incorporate physical-based or machine learning methods into the models
• Analyze model output, perform statistical analysis and provide interpretation, visualization and insights
• Provide scientific input and support to other ongoing projects
• Publish scientific papers and present at relevant conferences

Job Requirements:

• Bachelor's degree in Atmospheric Science, Climatology, Remote Sensing, Computer Science, Computer Engineering or a related field
• Experience in numerical weather prediction models testing
• Familiarization with physical-based or machine learning methods
• Proficiency in Linux-based high-performance computing systems and multi-process programming
• Strong programming skills in languages such as Python, R, IDL or MATLAB
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills
• Ability to work independently and as part of a team

Interested applicants are invited to submit a cover letter, full CV, research statement, and publication list in one document. Enquiries about this position can be made to Jinyu Wang.

Review of applications will begin on 15 March 2024.

We regret to inform that only shortlisted candidates will be notified.

The Czarny Group is part of the School of Materials Science and Engineering in NTU Singapore. The Group is focusing on the development of nanomedicines with large emphasis on exosomes mimetic and in vivo pre-clinical studies. His research is highly translational and is broadly applicable to many pathological conditions. The Group is collaborating with SLim Group at the School of Chemistry, Chemical Engineering and Biotechnology.

Cardiovascular diseases (CVDs) are a significant contributor to mortality. Atherosclerosis, characterized by the buildup of plaques containing fats, cholesterol, and other substances on arterial walls, is a major factor in CVDs. Detecting plaques early can aid in planning effective treatments to halt their progression. Magnetic resonance imaging (MRI) is commonly used for visualization but lacks an efficient contrast agent to distinguish plaque stages. This project proposes using engineered protein nanoparticles (PNPs) to enhance plaque contrast and staging. TThree specific phase will be designed: engineering PNPs for plaque targeting, evaluating contrast enhancement and tracking plaque progression in vivo. Results are expected to advance understanding of PNP-cell interactions within plaques, aiding future contrast agent development for atherosclerosis staging.

Key Responsibilities:

• Setting up protocols for animal study of the biodistribution of protein cage in mouse model;
• Executing experiments to achieve the specific aims of the project;
• Presenting results in various meetings/forums;
• Preparing reports for submission to the funding agency;
• Liaising with other scientists in the team as well as in other groups to develop the required expertise;
• Advising final year project and/or interns in the project.

Job Requirements:

• Master’s in Biology, bioengineering, materials science or related fields
• Working knowledge in animal handling, especially atherosclerotic model
• Working knowledge in protein production using E. coli and purification using AKTA FPLC
• Familiarity in protein cage handling
• Highly preferred skills: familiarity with atherosclerosis
• Able to design and execute experiments with minimal instructions
• Good communication skills in both verbal and written forms
• Take initiatives and lead a project and ensure delivery of outcomes in a timely manner
• Team player who will take part in general lab activities

Candidates with experience in any of these fields, nanoparticles formulation and characterization, nanomedicine, in vivo experiment, are strongly encouraged to apply.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The successful applicant will be responsible for the development of a software platform to support Smart Nation applications.

Key Responsibilities:

• Design and implement natural language processing (NLP) algorithms and models for semantic analysis, e.g., topic modeling, embedding, named-entity recognition, coreference resolution and parsing, and Multilingual translation.
• Application of NLP in knowledge and information extraction
• Conduct “translational” research to apply state-of-the-art solutions at scale for real-world challenges
• Documentation and scientific reporting
• Mentoring junior staff

Job Requirements:

• PhD in Computer Science
• Minimum 5 years software development experience (Entry Level Candidates with relevant project experience will also be considered)
• Experience and excellent research background in NLP
• Passionate about NLP and AI-related research, innovations, and their applications
• Proficient in one or more programming languages (e.g., Python, etc.) and research packages/modules
• Experience in large-scale text processing and analytics
• Good track records in publication
• Experience in Multilingual Translation is an added advantage.

We regret that only shortlisted candidates will be notified.

The NTU School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Associate.

We are currently seeking a highly skilled and motivated Research Associate to join our team, specializing in Embedded Systems and Algorithm Development. The ideal candidate will be deeply involved in the development and testing of embedded systems, focusing on algorithm development, PCB build, and testing. This position is crucial for advancing our research objectives in innovative technology solutions.

Key Responsibilities:

Design and Development:

• Lead the design and development of electronic boards tailored to project requirements.
• Develop schematics, layout PCBs, and produce prototype boards for testing.

Microcontroller Programming:

• Write, test, and debug code for various microcontrollers, particularly STM32, Arduino, and similar platforms.
• Integrate software with hardware designs to create seamless electronic systems.

Machine Learning (Desirable, Optional):

• Apply machine learning techniques in embedded systems as required.
• Collaborate with data scientists and machine learning experts to optimize algorithms for integration into hardware platforms.

Testing:

• Carry out functional testing on prototypes to ensure designs meet project requirements.
• Troubleshoot and resolve issues related to electronic circuits and microcontroller software.

R&D Support:

• Collaborate with the R&D team in brainstorming, design discussions, and review meetings.
• Keep up-to-date with emerging technologies and techniques in electronics and software that can benefit the team's projects.
• Provide necessary documentation, including design notes, testing results, and user manuals.

Job Requirements:

• Master’s degree in Electrical Engineering, Computer Science, or a related field.
• Strong background in embedded systems and algorithm development.
• Experience with PCB design, build, and testing.
• Proficiency in programming languages such as C/C++, Python, or others relevant to embedded systems.
• Solid understanding of electronics and microcontroller-based systems.
• Excellent analytical, problem-solving, and organizational skills.
• Ability to work effectively in a team and independently.
• Space technology related experience will be preferred.

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Associate on a 24-month contract at the Center for Research in Child Development, Office of Education Research.

Project Title: Home Mathematics Environment in Singapore: Mapping the Landscape (MathScape)

Project Introduction: In the current research project, we investigate the interrelation between parental practices, beliefs, knowledge, and attitudes to gain insights into the role that Singaporean parents play in the development of early mathematical abilities. Our specific research aims are i) understanding the interplay and impact of those factors on the development of young children’s mathematical abilities, ii) exploring whether this ecosystem is influenced by socio-economic disparities, and iii) determining how this ecosystem differs from that in Western countries. Findings may contribute to children's school readiness as well as reduce the need for mathematics support programs at the early stages of formal education.

Requirements:

• Master’s degree or higher in Psychology, Child development, Early childhood education or a related field from a University of good standing.
• Possess excellent communication skills with a good command of the English language.
• Good project coordination and administration skills, including data management and storage.
• Experience with relevant software (Microsoft Office, SPSS, etc.)
• Excellent organizational skills and able to work within given deadlines
• Able to work independently
• Good leadership skills
• Strong oral and written communication skills.
• Self-directed learner who effectively picks up relevant skills as needed

Responsibilities:

The Research Associate will support the day-to-day operations of the research project.

Tasks:

• Liaise and work closely with stakeholders from external institutions to identify project collaborators
• Conduct literature reviews and preparing research progress reports
• Day to day coordination of funded projects
• Preparation of ethics documents to institutional review boards.
• Participant recruitment and coordination with school/centre staff
• Data collection using psychological and psychoeducational testing
• Perform research-related administrative work, e.g. purchase of materials/equipment for research
• To manage day to day operations and meticulous record keeping of the research project
• To supervise and train undergraduate student and part-time research staff working on this project
• To carry any other duties as required by Principal Investigator

Application

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

Workday Job Requisition ID: R00017289

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate_R00017289)

Closing Date

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

EcoLabs Centre of Innovation for Energy (EcoLabs) invites applications for the position of Project Officer/Research Engineer/Research Associate.

Key Responsibilities:

• Collaborate with various solution teams, liaising with clients and overseas partners to deliver quality program requirements.
• Participate in energy innovation projects, which may include project development, matching technology to program partner needs, and overseeing project outcomes from overseas partnerships.
• Assist in analyzing and interpreting the technology solutions of each SME partner to meet testbed partner needs.
• Support business development efforts to expand program and project outcomes from innovation initiatives.
• Assist in capability-building activities, including workshops and pitching events, as part of deliverables from international programs.
• Support various project and technical delivery activities.

Job Requirements:

• Master or Bachelor degree in engineering, science, business, environmental science or any relevant field.
• Preferably 2-3 years of working experience in the energy, engineering area
• Strong quantitative analytical skills, interpersonal, communication, project management skills
• Knowledge of various renewable products, green fuels, and sustainability is preferred strong quantitative analytical, interpersonal, and communication skills

We regret that only shortlisted candidates will be notified.

EcoLabs Centre of Innovation for Energy (EcoLabs) invites applications for the position of Project Officer/Research Engineer/Research Associate.

Key Responsibilities:

• Develop and manage budgets in accordance with Ecolab's annual Key Performance Indicators (KPIs).
• Ensure accurate financial allocation for projects and adherence to budgetary constraints.
• Generate and distribute invoices, oversee payment monitoring, and maintain billing records.
• Maintain accurate financial records by organizing and filing documents, invoices, and receipts.
• Efficiently process purchase orders, verifying accuracy and ensuring compliance with organizational procurement policies.
• Overseeing and tracking project milestones across all Ecolab projects
• Monitor and track yearly and quarterly KPIs, aligning with EcoLabs annual targets and performance metrics.
• Prepare and manage quarterly reports and claims, ensuring compliance with specified formats.

Job Requirements:

• Bachelor’s degree or higher in engineering, science, business, or a related field.
• Preferably minimum 3 years of experience.
• Entry level candidates with strong backgrounds in project management are also encouraged to apply.
• Preferred strong quantitative analytical, interpersonal, and communication skills

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Associate on a 24-month contract at the Office of Strategic Planning and Academic Quality.

Project Title: Strategic Planning and Academic Quality Surveys and Projects

Project Introduction: The Office of Strategic Planning and Academic Quality (SPAQ) takes the lead in helping to promote a culture of continuous self-improvement and the adoption of best practices to aid institute-wide planning, decision-making and quality assurance. Through the gathering of evidence-based feedback from various stakeholders, trend analysis and academic reviews, SPAQ provides insights and analysis to aid leadership decisions as well as programmatic and pedagogical enhancements.

Requirements:

Essential

• A degree (with honours) in fields like statistics or applied mathematics, data analytics, physics or relevant subjects or at least 3 years of experience in applied mathematics, data collection and analysis, data analytics, or other quantitative disciplines
• At least 3 to 5 years’ relevant working experience, with a strong interest and track record in social science research and/or institutional analytics and/or organisational development
• Data visualization knowledge: Tableau
• Excellent conceptualising, analytical and writing skills
• Strong working knowledge of statistics, data analysis, and/or data analytics
• Experience with experimental design, sampling and analysis
• Strong capability in using SPSS for complex statistical analysis, such as multi-level regressions
• Innovative, strong analytical and algorithmic problem-solving skills
• Strong interpersonal, written and verbal communication skills
• Meticulous, with good organisational skills
• Strong team player with a pleasant disposition
• Values and attributes demonstrating integrity, professionalism, adaptability and willingness to go the extra mile

Preferred

• A Master’s degree
• Academic qualifications or experience with data science and/or analytics
• Experience in survey administration
• Ability to work independently with minimum supervision
• Ability to contribute to team assignments effectively
• Experience working in a publicly-funded educational institution

Responsibilities:

• Conduct quantitative and qualitative analysis
• Conduct trend research and analysis
• Conduct literature reviews
• Administer surveys to internal and external students and stakeholders
• Assist in the production of academic quality research reports and presentations
• Manage research data and maintain research records
• Preparation of research reports including literature review to relevant stakeholders
• Manage research process and keep up-to-date research records and meetings
• Provide full secretariat support for research committee
• Assist in ad-hoc and special assignments / corporate events as required
• Handle day-to-day project matters and other administrative details

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.