Job Description

Office/ College: Center of Medical and Bio-allied Health Sciences Research

SUMMARY OF FUNCTIONS:

The Centre of Medical and Bio-allied Health Sciences Research Center at the Deanship of Research and Graduate Studies invites applications for a full-time research Professor position (Research Assistant/Associate/Professor) in Spring 2026/2027. A Full-Time Research Professor is expected to design, organize, and conduct highly specialized and advanced experiments and engage in research in his/her subject area using established scientific protocols and procedures and, in some cases, design new protocols; summarize findings and publish results in high-quality indexed research journals and conferences; provide supervision and guidance to junior staff members, and students as appropriate.

ESSENTIAL DUTIES & RESPONSIBILITIES:

The duties and responsibilities of a full-time Research Assistant Professor include, but not limited, to:

• Conduct cutting-edge research and publish findings in reputable, peer-reviewed journals.
• Seek internal and external funding through grant applications and collaborative research projects.
• Collaborate with faculty members on interdisciplinary research projects.

• scheduling, organizing, and reporting on the status of the ongoing research activities;

• Supervise and mentor graduate and undergraduate students.
• Teach undergraduate and graduate courses within the College of Pharmacy and Health Sciences.
• Engage in departmental, college, and university service activities.
• Preparing regular progress reports of his/her tasks as per the requirements.
  

QUALIFICATIONS & EXPERIENCE:

• A PhD in Pharmacy, Health Sciences or a closely related field from a recognized and ranked (Top 200 institution is preferred).

  • Proven expertise in designing and implementing quantitative and qualitative research studies.

  • A strong background in public health, regulatory science, or healthcare industries.

  • Strong research record demonstrated through publications.

  • Deep knowledge and experience in biostatistical analysis, including advanced statistical modeling and data interpretation.

  • Proven ability to design and analyse experimental or observational studies.

  • Experience with statistical software such as SPSS, R, SAS, or similar tools.

  • Independence in prior research is highly desirable.