Position Overview:
We are seeking two motivated and dedicated Research Assistants to join our team and work under the guidance of Dr. Farhana Shahzad. The positions are available for both quantitative and qualitative research, and successful candidates will play a crucial role in supporting our research initiatives.
Key Responsibilities:
For Quantitative Research Assistant:
• Assist in data collection, analysis, and interpretation.
• Utilize statistical software and tools to perform data analysis.
• Collaborate with the research team to ensure research objectives are met.
• Maintain data accuracy and integrity throughout the research process.
For Qualitative Research Assistant:
• Conduct in-depth literature reviews and qualitative data collection.
• Assist in coding and analyzing qualitative data.
• Collaborate with the research team to develop research protocols and frameworks.
• Contribute to the development of research reports and presentations.
Qualifications:
For Quantitative Research Assistant:
• Bachelor's degree in a related field (e.g., statistics, mathematics, social sciences).
• Proficiency in statistical software and data analysis techniques.
• Strong analytical and problem-solving skills.
• Attention to detail and accuracy.
For Qualitative Research Assistant:
• Bachelor's degree in a related field (e.g., social sciences, anthropology, psychology).
• Familiarity with qualitative research methods and data analysis.
• Strong organizational and communication skills.
• Ability to work collaboratively in a team environment.
Application Process:
Interested candidates are invited to apply by submitting their cover letter and CV via email to usman.amin@lums.edu.pk. Please indicate in your cover letter whether you are applying for the quantitative or qualitative research assistant position.
Equal Opportunity Statement:
We are an equal opportunity employer and welcome applications from candidates of all backgrounds. We encourage diversity and inclusion in our workplace.
Join our research team and contribute to meaningful research projects under the guidance of a dedicated supervisor.