Research Assistant/ Associate Professor - Centre of Medical and Bio-allied Health Sciences Research (CMBHSR)

Job Description

Job Title: Research Assistant Professor (RAP)

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

Summary of Functions:

A Full Time Research Assistant Professor is expected to design, organize, 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, designing 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:

• 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 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.

Supervision:

Reports to: Head of Research Centre

Working relationships & Subordinates: Members of Research Centre

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.

Knowledge & Skills:

• Discipline specific conceptual and cross-disciplinary knowledge
• Team working skills
• Independent researchers
• Excellent interpersonal and communication skills
• Excellent presentation skills
• Professionalism
• Responsible conduct of research.