Dasman Diabetes Institute

Research Assistant II

Kuwait City, KuwaitPosted 4 days ago

Salary
Not published
Job type
Full time
Level
Mid level
Field
Healthcare & Medical
Work mode
On site

About the role

Role Purpose To provide technical and administrative support in conducting field and office-based research within the Population Health Department. Research Assistant II assists with data collection, entry, and preliminary analysis, ensuring high-quality and accurate data for projects that support DDI’s mission to advance public health and diabetes prevention through population-based research. Responsibilities • Support the design and execution of population-health and epidemiological studies. • Conduct data collection through surveys, interviews, and clinical assessments. • Perform literature reviews and produce summary documents and/or grids. • Perform data entry, cleaning, and quality control in accordance with study protocols. • Assist in organizing fieldwork logistics, recruitment, and participant scheduling. • Maintain data confidentiality and follow ethical research guidelines. • Prepare routine reports, tables, and summaries for departmental review. • Provide technical assistance in the preparation of research instruments and documentation. • Collaborate with Research Associates and Scientists to ensure workflow efficiency. • Maintain accurate filing systems for research forms and consent documents. • Support training activities for new field researchers and interns. • Ensure adherence to DDI’s biosafety, quality, and ethical research standards. • Assist in inventory management and ordering of research materials and supplies. • Participate in departmental meetings and contribute to team-based activities. Required Skills and Expertise: Core Skills (Research Sector): • Team collaboration, communication, and adaptability. • Time management and attention to detail. • Organizational and record-keeping skills. Technical / Role-Specific Skills: • Familiarity with research data-collection tools (e.g., REDCap, Epi Info, ODK). • Basic knowledge of descriptive statistics and data-entry procedures. • Understanding of ethical standards and human-subject research protection. • Computer literacy in Microsoft Office and basic statistical programs. Supervisory Responsibilities None. Works under the direct supervision of the Head of Department or assigned Scientist. Other Comments: Minimum Qualifications (Education and Experience) • Bachelor’s Degree in Public Health, Epidemiology, Statistics, or a related discipline. • Minimum 3–5 years of research or field-data collection experience in a healthcare or academic setting.

Requirements

Bachelor’s Degree in Public Health, Epidemiology, Statistics, or a related discipline. Minimum 3–5 years of research or field-data collection experience in a healthcare or academic setting.

Responsibilities

Support the design and execution of population-health and epidemiological studies. Conduct data collection through surveys, interviews, and clinical assessments. Perform literature reviews and produce summary documents and/or grids. Perform data entry, cleaning, and quality control in accordance with study protocols. Assist in organizing fieldwork logistics, recruitment, and participant scheduling. Maintain data confidentiality and follow ethical research guidelines. Prepare routine reports, tables, and summaries for departmental review. Provide technical assistance in the preparation of research instruments and documentation. Collaborate with Research Associates and Scientists to ensure workflow efficiency. Maintain accurate filing systems for research forms and consent documents. Support training activities for new field researchers and interns. Ensure adherence to DDI’s biosafety, quality, and ethical research standards. Assist in inventory management and ordering of research materials and supplies. Participate in departmental meetings and contribute to team-based activities.

Skills

  • REDCap
  • Epi Info
  • ODK
  • descriptive statistics
  • data-entry procedures
  • Microsoft Office
  • basic statistical programs
  • data collection
  • clinical assessments
  • literature reviews

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