Total 6 Junior Executive it manager job vacancies in Education / Training category in The United States of America

Main Job Responsibilities:

• Assist in managing the day to day operation of HR effectively and efficiently, focusing on building a positive working culture and improved quality of work.
• Overseeing all recruitment efforts including but not limited to placing job ads, screening CV, shortlisting candidate, coordinate interview appointments, attending interview etc.
• Maintain and update career portal in social media like Linked, recruitment portal, company website, HR portal etc
• Perform administrative task of registration of new hire, creating new files, preparing their workstation, medical insurance registration, staff ID, email registration, door access, etc.
• Contribute to reviewing and improving HR SOP, work processes, policies & procedures.
• Participate in and contribute towards quality improvement initiatives / programs / activities

conducted at the department or University level as assigned

• Develop, plan and conduct on-boarding programme, including delivering of induction programme for new employees to ensure that they feel welcome and prepared in their new positions.
• Provide administrative support to the division in the preparation of reports, schedules and various correspondences for internal records as well as required by authorities.
• Handle and prepare documents required for audit, accreditation, MQA visits or other government visits. Maintain records and compile statistical reports as required.
• Play active role in staff engagement, employee relations and promote staff bonding, and plan staff welfare activities.
• Identify, organise and coordinate training & development programme to meet staff training needs
• Assist in managing Performance Management Systems to ensure performance management is conducted in line with the University requirements.
• Perform any other related duties as may be assigned by the superior from time to time.

Required Skills/Abilities:

• Bachelor’s degree in human resource management or any related disciplines.
• At least 3 years of working experience in HR, preferably in institution of higher learning.
• Excellent communication skills with good command of the English language
• Good problem-solving and people management skills.
• Strategic thinking and high result orientation
• Good analytical ability and eye for details
• Proactive and high energy
• Creative & innovative thinking and conceptualization skills.
• IT literate with hands-on knowledge of MS Office - Excel, Word, Power Point.

Perks & Benefits

• Medical insurance
• Annual leave
• Trainind & development opportunities

主要工作職責：

• 協助有效且有效率地管理人力資源的日常運作，重點是建立積極的工作文化並提高工作品質。
• 監督所有招募工作，包括但不限於發布招募廣告、篩選履歷、篩選候選人、協調面試預約、參加面試等。
• 維護和更新社交媒體中的職業門戶，例如 Linked、招聘門戶、公司網站、人力資源門戶等
• 執行新進員工登記、建立新檔案、準備工作站、醫療保險登記、員工 ID、電子郵件登記、門禁等管理任務。
• 有助於審查和改進人力資源 SOP、工作流程、政策和程序。
• 參與並為品質改進舉措/計劃/活動做出貢獻

在指定的部門或大學層級進行

• 制定、規劃和實施入職計劃，包括為新員工提供入職培訓計劃，以確保他們在新職位上感到受歡迎並做好準備。
• 為部門提供行政支持，以準備內部記錄以及當局要求的報告、時間表和各種信件。
• 處理和準備審核、認證、MQA 存取或其他政府存取所需的文件。按要求保存記錄並編制統計報告。
• 在員工敬業度、員工關係和促進員工凝聚力方面發揮積極作用，並規劃員工福利活動。
• 確定、組織和協調培訓和發展計劃，以滿足員工培訓需求
• 協助管理績效管理系統，確保績效管理符合大學要求。
• 履行上級不時指派的任何其他相關職責。

所需技能/能力：

• 人力資源管理或任何相關學科學士學位。
• 至少3年人力資源工作經驗，最好是在高等院校。
• 優秀的溝通能力和良好的英語水平
• 良好的解決問題和人員管理能力。
• 戰略思維和高結果導向
• 良好的分析能力和對細節的關注
• 積極主動、精力充沛
• 創造性和創新思維和概念化能力。
• 具備 IT 素養，具備 MS Office - Excel、Word、Power Point 的實務知識。

津貼和福利

• 醫療保險
• 年假
• 培訓和發展機會

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/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with strong IT, engineering, computing, and/or programming skills
2. Excellent written, oral communication skills
3. Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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 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/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with strong IT, engineering, computing, and/or programming skills
2. Excellent written, oral communication skills
3. Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

Please see the attached Job Description and Person Specification for full details of the role and responsibilities

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with strong IT, engineering, computing, and/or programming skills
2. Excellent written, oral communication skills
3. Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

Interested applicants are welcome to apply here and/or email Associate Professor Helen Zhou at helen.zhou@nus.edu.sg with the application letter, curriculum vitae, and contacts of two-three references. Only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Medicine

Employee Referral Eligible: No

Job requisition ID : 19614