Total 256 Science / R&D / Research job vacancies in Benton County Campus, Arkansas

The Nanyang Business School (NBS) is seeking a highly motivated and talented individual to join our research project as a Research Assistant. The Research Assistant will play a crucial role in supporting our research team in various projects and initiatives.

Key Responsibilities:

• Conduct literature reviews on relevant topics, synthesize information, and summarize key findings.

• Assist in the design and implementation of research studies and experiments.

• Collect and analyze data using various quantitative and qualitative research methods.

• Maintain accurate and up-to-date research records and databases.

• Assist in preparing research reports, presentations, and other research-related materials.

• Collaborate with research project team members to contribute to the development of research proposals and grant applications.

• Stay up-to-date with industry trends, advancements, and best practices in research methodologies.

• Assist in organizing and coordinating research events, workshops, and conferences.

• Perform administrative tasks as needed to support the research team.

Job Requirements:

• Bachelor's degree in a relevant field (such as business, entrepreneurship, social sciences, or related disciplines).

• Strong analytical and critical thinking skills.

• Proficient in quantitative and qualitative research methods.

• Experience with statistical analysis software (such as SPSS, R, or SAS) is a plus.

• Experience in using Generative AI tools such as ChatGPT-4 in research is a plus.

• Excellent written and verbal communication skills.

• Detail-oriented with strong organizational skills.

• Ability to work independently and meet deadlines.

• Strong problem-solving and troubleshooting abilities.

• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).

• Experience in conducting research and data analysis.

• Familiarity with research ethics and protocols.

• Knowledge of research grant application processes.

• Ability to work effectively in a collaborative team environment.

• Good time management skills and ability to prioritize tasks effectively.

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

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of neuroimaging study

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

• Good or working knowledge of machine learning techniques

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

The Centre for Sustainable Materials (SusMat) at the School of Materials Science and Engineering (MSE), Nanyang Technological University (NTU), Singapore, is inviting applications for a Research Fellow position in Prof. Ali Miserez’s research team. The role involves engaging in two key projects: 1) the application of peptide coacervates for nucleic acid delivery into cells, and 2) the use of peptide coacervates to enhance food safety through advanced detection methodologies. This position offers the opportunity to be part of a dynamic and collaborative research environment.

Key Responsibilities: 

• Experiment Design and Execution: Independently design and execute a range of lab-bench experiments, including the synthesis of novel peptide sequences and the in vitro delivery of nucleic acids. This role requires autonomy, proficiency in advanced cell culture techniques, and a commitment to producing accurate results.

• Biophysical Characterization: Employ techniques such as UV-vis and fluorescence spectroscopy, and dynamic light scattering for the characterization of peptide coacervates.

• Scientific Writing and Regular Presentations: Actively contribute to the drafting and publication of scientific papers, effectively communicating research findings. In addition, the candidate is expected to regularly present data and results at lab meetings, demonstrating strong oral communication skills.

• Mentorship and Supervision: Guide and support junior researchers, including students, in their projects and in mastering laboratory techniques and scientific practices, thereby fostering their growth and development.

• General Laboratory Duties and Professionalism: Maintain exemplary laboratory practices and professional conduct, including meticulous lab notebook upkeep, strict adherence to safety protocols, and the maintenance of lab housekeeping standards. Embrace teamwork, assist peers, and adhere to university policies, promoting a positive and collaborative research environment.

Job Requirements: 

• PhD in Biochemistry, Molecular Biology, Cell Biology, Materials Science, or a related field

• Proven laboratory research experience, particularly in peptide synthesis and advanced cell culture techniques

• A strong publication record in peer-reviewed scientific journals, demonstrating significant contributions to scientific research

• Demonstrable experience and a solid understanding of solid-phase peptide synthesis using a peptide synthesizer, UV-vis and fluorescence spectroscopy, dynamic light scattering (DLS), and other biophysical characterization techniques for peptide coacervates

• Proficiency in advanced cell culture techniques, focusing on the delivery of various types of cargo into cells

• Skilled in experimental design, data analysis, and interpretation

• Strong independent research skills and excellent collaborative abilities, showcasing effectiveness in working as part of a research team

• Excellent written and oral communication skills

We regret that only shortlisted candidates will be notified.

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of neuroimaging study

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

• Good or working knowledge of machine learning techniques

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

Wee Kim Wee School of Communication and Information (WKWSCI) is one of the top communication schools in the world, ranking 6th on this year Quacquarelli Symonds (QS) World University Rankings. The Research Office is established to support all research works at WKWSCI.

Being part of the Research Office at WKWSCI, this position supports the grant administration function in advising and assisting faculty and research staff members in all aspects of internally funded research projects and other scholarly research activities.

Responsibilities:

Research Grant Administration:

• Provides effective administration of research grant call applications and management of awarded grants

• Assumes the role as SAP Concur reviewer and first-level approver and work with the Finance department to provide the fastest and smoothest approver flow.

Communication of Research Information

• Creates weekly research e-newsletter to communicate information on internal and external grant calls to faculty and research staff members.

• Develops content for the school’s website for research grants, projects and achievements.

• Develops Research-related publications (Research Brochures /Pamphlets)

• Assists with the organisation of the monthly WKWSCI Speaker Series (Research Talks).

Monitoring Research Budgets and Assets

• Monitor budgets and expenditures relating to research grants

• Monitor deadlines for the submission of expenditure reports as well as progress and final reports

Requirements:

• A degree holder from a recognised university

• Proven administrative skills including the ability to handle data with accuracy.

• Excellent reporting with some finance working knowledge would be essential.

• Preferably 2 to 3 years of relevant work experience. Prior working experience in an academic institution will be an advantage.

• Sound interpersonal, communication and analytical skills

• Strong organisational and problem-solving skills.

• Proficient in Microsoft Office (Excel, PowerPoint, word)

• Ability to do content management and creation of information on research (Website, social media and newsletters)

• Positive attitude with strong desire to learn new skillsets

We are excited to announce a Research Fellow opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) is looking for passionate individuals to join our research team. We welcome applicants with a doctoral degree (PhD) for the Research Fellow position in various backgrounds such as AI in education, deep learning, educational psychology, computer science and related fields.

Join our team on an exciting opportunity to develop a state-of-the-art Adaptive Learning Platform for higher education. This project focuses on leveraging AI to transform the educational experience in key academic areas. Our aim is to create a versatile, AI-driven platform that personalizes learning and adapts to diverse curricular needs. It not only generates unique mathematical problems but auto-grades responses. This initiative holds great potential for scalability and significant impact on student learning outcomes. The successful candidate will be responsible for overseeing the day-to-day operations of this research project.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of an educational research project

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in AI in education, deep learning, educational psychology, computer science and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Solid understanding and practical experience in machine learning and deep learning techniques, with a focus on implementing and optimizing these technologies

• Proficient in BERT (Bidirectional Encoder Representations from Transformers), demonstrating a strong grasp of its applications and functionalities

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

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Type of Position:

Job Type:

Institution Name:

The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the position, please click the Apply link/button.

If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.

For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.

Department:

Summary of Job Duties:

Qualifications:

Required Education and/or Experience:

• A Ph.D. in mathematics, mathematics education, or a closely related area by the time of appointment.

Preferred Education and/or Experience:

• K-12 teaching experience;

• Experience in teaching or collaborating with Mathematics Education programs;

• A background of research in mathematics education.

Job Duties and Responsibilities:

• Teach mathematics and mathematics education courses for elementary, middle childhood, and secondary education programs;

• Advise and mentor undergraduate and graduate students in mathematics education programs;

• Collaborate with department faculty to improve mathematics education programs and ensure compliance with requirements;

• Collaborate with the School of Education, Arkansas Education Department to improve mathematics teaching and learning experience for preservice and in-service teachers;

• Conduct and publish research in mathematics and/or mathematics education;

• Solicit research or project funding in mathematics education;

• Perform other duties and services as needed in the department, college, and university.

Knowledge, Skills, and Abilities:

• Education background, work experience, ability to collaborate with a team, and commitment to inclusivity and diversity are essential to a successful academic career in mathematics education.

Additional Information:

Review of applications will begin as soon as they are received until the position is filled. For more information about the Department visit http://ualr.edu/mathematics/

Special Instructions to Applicants:

All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS  

Please do not send to listed recruitment contact.

Pre-employment Screening Requirements:

The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Constant Physical Activity:

Frequent Physical Activity:

Occasional Physical Activity:

Benefits Eligible:

***This position is NOT remote. Qualified candidates must be local to Saint Francis Health System or being open to relocation.

Job Summary: The Trauma Research Data Analyst will partner with trauma healthcare professionals to assist, develop and conduct novel and innovative clinical research studies aimed at advancing the field and improving care delivery and outcomes for trauma patients.  The role will assist in preparation of study protocols, study budgets, regulatory documentation, grant/funding applications, manuscript development as well as collect/retrieve and maintain data to assist with addressing study questions and evaluating study findings.  Also, will monitor study progress and resource utilization to ensure performance of study activities in accordance with study protocol, institutional policies and procedures, appropriate regulations, and good clinical practice.

Minimum Education: Bachelor’s degree in biology or any health sciences.  Master’s degree in public health, data/health science, health outcomes or similar field, preferred.

Licensure, Registration and/or Certification: None.

Work Experience: Minimum 3 years of experience in collecting and analyzing data. Publication experience, preferred. In lieu of work experience, a Master’s degree with a research background in a clinical setting will be considered.

Knowledge, Skills and Abilities: Excellent communication, presentation, interpersonal skills, both written and spoken with an ability to inform, influence, convince, and persuade a diverse team. Ability to work independently under the general guidance of the Research Manager for the common goals of the programs, as well as work with investigators in a multidisciplinary, dynamic, fast-paced and changing environment. Ability to manage and flex between multiple deadline-driven and ongoing projects while being solutions-oriented. Demonstrate a high degree of integrity, enthusiasm and initiative. Knowledge of healthcare, documentation, electronic medical health records, registry, health sciences clinical research, electronic medical health records and records management. Excellent project management, data utilization, complex problem solving, critical thinking, resource management and organizational skills with demonstrated success in leading projects and interacting with cross functional teams. Demonstrate strong computer skills especially in the utilization of Microsoft Word, Excel, and PowerPoint; ability to embrace new technologies.

Essential Functions and Responsibilities: Aid Trauma investigators and other stakeholders in generating novel research ideas and give input on study design and protocol development. Manage research studies/projects by collecting/retrieving, recording and maintaining accurate research data in a scientifically legible manner. Ensure scientific integrity of study design, implementation, and data collection to maintain scientific rigor and obtain high quality data. Conduct projects/studies independently under the guidance of Research Manager and Trauma physician investigator.

Assist interns/residents with trauma pilot projects and generate case reports/series. Assist statistician and other stakeholders in retrieving and maintaining relevant research data to address specific scientific questions. Assist Research Manager and Trauma physician investigator in PubMed literature search on relevant topics and present findings. Maintain timelines to ensure smooth progression to project/study completion to meet explicit pre-set deliverables. May conduct interviews with patients or their caregivers for potential observational studies (CITI training will be provided). Assist in data analysis, review, and data interpretation to generate high quality research findings for publications in peer-reviewed journals. Generate and draft reports, manuscripts, as well as graphs and charts to illustrate findings for presentations, manuscripts, grants, and other research-related activities. Assist Research Manager to generate regular assessment and status reports of the trauma program’s research and scholarly activities.

Decision Making: Independent judgment in making decisions from many diversified alternatives that are subject to general review in final stages only.

Working Relationships: Works with internal and/or external customers via telephone or fact to face interaction. . Works with internal and/or external customers via telephone or fact to face interaction.  Works with other healthcare professionals and staff.  Works frequently with individuals at Director level or above.

Special Job Dimensions: None.

Supplemental Information: This document generally describes the essential functions of the job and the physical demands required to perform the job.  This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.

#GENIND

Location:

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of neuroimaging study

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

• Good or working knowledge of machine learning techniques

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

Research Assistant in the Laboratory of Assistant Professor Yusuf Ali.

About the Opportunity

Job Summary

Under the supervision of the Northeastern University Research Enterprise Services (NU-RES) Director of Research Operations and Systems and with support of senior level NU-RES team members, the Data Quality and Research Administration Analytics Manager (“Data Manager”) is responsible for developing and executing local data governance strategies, managing data quality, building and driving digital initiatives that support the research enterprise, and improving the analytical value of data related to the university’s research enterprise.  They will focus on client engagement and internal operational efficiencies to implement data governance policies, procedures, processes, and standards and work with a variety of university partners to identify opportunities to improve data quality across the university’s global research network. 

The Data Manager is responsible for information system management and best practice standards to improve data quality across NU-RES applications (e.g., eCD eCLAWs ePAWs), which includes analyzing data collection workstreams, creating processes and procedures, recommending new policies, and monitoring the collection and storage of NU-RES data; they will work closely with the NU-RES Director of Research Operations and Systems and eRA Systems Manager on implementing NU-RES’s digital strategy through evaluation of enterprise data standards, technology, and processes.

The Data Manager is responsible for educating and training end-users on sound data quality standards and internal control practices, fostering a culture of quality client service; assessing and interpreting data in support of operational excellence and data-driven decision making by senior leadership.

The Data Manager will evaluate how digital governance of research data impacts data quality and will work to maximize the value of analytics and innovation to transform the university’s data reporting capabilities, while encouraging the adoption of contemporary methods, practices, and measurement outcomes, producing consistent and accurate information.

This position requires a high level of competence with research administration (including regulatory requirements related to research and sponsored programs) and information technology; excellent analytical skills with ability to work with large and complex data sets; strong leadership and project management skills; experience in creating and executing local data governance policies, procedures, processes, and standards; an ability to facilitate communication between and among groups that may have different needs and priorities.  The Data Manager must have a strong commitment to creating positive client experiences and supporting individuals who work in a fast-paced, team-oriented environment. 

Minimum Qualifications

• Bachelor's degree in Computer Science, Information Systems or related field.

• A minimum of (5) years of experience with data quality, data analysis and information system management.

• Experience and understanding of research administration and regulations related to research and sponsored programs.

• Demonstrated ability to implement continuous improvement and innovation tools and techniques.

• Excellent analytical, curiosity, problem-solving, and effective written and verbal communication skills.

• Proficient IT skills with Microsoft Suite, Tableau, SQL, and Cognos

Key Responsibilities & Accountabilities

40% - Data Quality Analysis: Use data analysis to identify data quality issues and determine how to solve them. Analyze data utilized by cross-functional teams to ensure data integrity, recognize, analyze trends and/or anomalies; maximize the value of accurate analytics to transform the university’s research reporting capabilities; design data quality standards for research data and develop a best practice to align best the most accurate and consistent outcome of information.

30% - Reporting Analytics: Collaborate with Senior Data Analyst to identify appropriate categories of data, summarize and analyze in custom ad hoc reports.  Through Critical Thinking, analyze the data usage by performing assessments on data end-to-end. Define and design the data quality rules by understanding the needs and demands from user community.

15% - Digital Governance, Improvement and Training: Troubleshoot discrepancies and delegate to the appropriate personnel for correction. Consult with functional and technical staff and data stewards about meaning, use, reliability, and maintenance of data elements. Contribute to continuous process improvement in report analysis and trending methods. Manage and maintains all data governance and data quality related documentation. Establish the effective data quality rules by ensuring data validity, conformity, completeness, and timeliness.

15% - Project Management: Oversee the completion of tasks or projects. Define business rules for measuring data quality and profiling new data sources. Work with data engineers to enhance and refine data quality metrics.  Use effective communication to convey messages, explain processes, and answer questions.

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff.  Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other  characteristic protected by applicable law.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.

Center for Leadership and Cultural Intelligence (CLCI) at Nanyang Business School, is seeking a suitable candidate for the position of Research Associate. The Research Associate will be part of a dynamic team of researchers involved in spearheading high-impact research on leadership and cultural intelligence. In addition, this role offers great opportunities for acquiring research skills and capabilities.

Key Responsibilities:

• Design and manage data-collection, including set-up and administration/coordination of surveys and field interviews

• Collate quantitative and qualitative survey data and managing the database

• Conduct literature review and data analyses

• Present information in both visual and written formats

Job Requirements:

• Master’s Degree, preferably in Psychology

• Proficient in Microsoft Office (e.g. Word, Excel, Powerpoint) and other data visualization software (e.g., Tableau)

• Proficiency in statistical packages (e.g., R, SPSS) will be an advantage

• Detail-oriented, meticulous and able to work independently under time pressure

• Excellent interpersonal skills

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

The Dementia Research Centre (Singapore) [DRCS], an establishment of the Lee Kong Chian School of Medicine (LKCMedicine) was set up to pioneer cutting-edge research initiatives, to enhance understanding of cognitive impairment and dementia spectrum disorders, clinically. DRCS is a multi-study research centre focusing on the pathobiology of Asian Dementia and models of care for cognitive disorders. DRCS is helmed by Associate Professor Nagaendran Kandiah, an internationally renowned clinician scientist in the field of dementia.

Position Overview:

We are seeking a highly skilled and motivated Research Fellow with a Ph.D. in Neuropsychology or Psychology to contribute to our center's ongoing research initiatives. The successful candidate will play a pivotal role in conducting critical research, employing neuropsychological testing, psychometrics, test validation, digitalization of tests, statistical analyses, and intervention strategies.

Responsibilities:

• Design and conduct neuropsychological assessments for research purposes.
• Develop and validate psychometric tests (pen and paper, digital) relevant to dementia research.
• Perform advanced statistical analyses with large data sets.
• Design research and conduct analyses to identify brain-behaviour relationships, developing new assessment tools, to contribute to advancements in neuroscience.
• Develop and execute interventional studies, encompassing both digital and traditional methods.
• Publish findings in peer-reviewed journals and present at conferences.

Requirements:

• A Ph.D. in Neuropsychology, Psychology, or a closely related field.
• Proven experience in neuropsychological testing, psychometrics, and test validation.
• Strong statistical analysis skills, including expertise in relevant software.
• Background in intervention work/studies highly appreciated.
• Excellent communication skills and ability to work collaboratively in a team.
• Strong publication record or potential to publish in reputable journals.
• Clinical experience highly valued.
• Superior proficiency in both written and verbal English.
• Proficiency in second languages and dialects highly regarded.

Benefits:

• Competitive salary commensurate with experience.
• Opportunities for professional development and career growth.
• Access to state-of-the-art research facilities and resources.
• Collaborative and dynamic work environment with a diverse team.
• Contribution to groundbreaking research in dementia studies.

Only shortlisted candidates will be contacted for interviews.

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Assistant.

Under the research programme INSPIRASI, the group is to develop a high performance fuel cell with special focus on the development of metallic bipolar plate and Al-driven controller.  The candidate is required to design, develop and carry out performance characterisation of single-cell and short stack.

Key Responsibilities: 

• Literature review on the effect of clamping force in PEMFC stack/cell

• Design and fabricate clamping fixture

• Design of the fabricate bipolar plate

• Single and short stack testing and characterisation

• Any other tasks as requested by the PI

Job Requirements: 

• Bachelor degree in engineering or relevant discipline

• Good knowledge in polymer electrolyte membrane fuel cell

• Prior experience in conducting performance characterization on polymer electrolyte membrane fuel cell

• Able to work independently to achieve the research milestones and tasks given

• Proficiency in English

We regret that only shortlisted candidates will be notified.

Executive / Senior Executive (Clinical Research Officer) for the Health Screening Centre

Lee Kong Chian School of Medicine (LKCMedicine) is looking for Executive / Senior Executive (Clinical Research Officer) who is self-motivated, proactive in problem solving and a strong team player. The candidate will be part of the Health for Life in Singapore (HELIOS) Study team, a flagship Singapore population health study jointly conducted by LKCMedicine, National Healthcare Group and Imperial College of London. We aim to profile the health and behavior of up to 10,000 people from the general Singapore population over the next few years. We are conducting (1) surveys on health, lifestyle and dietary habits, (2) physical and functional measurements (e.g. anthropometry, strength, exercise test, spirometry, ECG, optical imaging and pulse wave velocity) and (3) biomarkers for chronic diseases.

The candidate will play a key role mainly in, but not limited to, the following roles:

• Take participants’ informed consent for study, verify eligibility and systematically performing drug and supplement verification.

• Assist in collection of biological samples for research.

• Assist in conducting health and lifestyle questionnaire, dietary and/or cognitive assessment.

• Perform physiological assessment according to Standard Operating Procedures and record measurements. These physiological assessments include body composition, lung, eye, skin and heart function using sophisticated medical devices (training will be provided)

Candidates should have:

• Passion to make the difference in the society through research and/or serving the community

• A positive attitude and ability to learn new skills are essential attributes to succeed in this role.

• Diploma / Degree in Allied Health / Biomedical Sciences or similar disciplines. Fresh graduates are welcome.

• Excellent communication (oral and written) and interpersonal skills.

• Fluent in spoken and written English. Fluent in Malay, Tamil, Chinese or dialects would be of advantage. 

• The ability to work independently with high levels of motivation.

• Certification on Good Clinical Practice, phlebotomy, CPR & AED would be of advantage.