Vacancies at Aga Khan University Hospital

Key Responsibilities

Doctoral research design

• Develop a PhD protocol focused on neurocognitive measurement; define constructs, instruments, and validation framework; secure ethics and regulatory approvals

Test development & adaptation

• Lead adaptation, translation, and cultural validation of neurocognitive instruments; design test batteries for ageing populations

Field deployment & quality assurance

• Train and supervise assessors; embed cognitive testing into LOSHAK field workflows; implement quality assurance systems

Psychometric analysis & longitudinal modelling

• Conduct reliability, validity, and measurement-invariance analyses; model cognitive trajectories over time

Scholarly outputs

• Produce thesis chapters; prepare manuscripts; disseminate findings to scientific and policy audiences

Platform & team engagement

• Contribute to LOSHAK cognitive assessment platform; engage multidisciplinary teams (epidemiology, psychiatry, data science)

Professional development

• Build expertise in neuropsychological methods, psychometrics, and longitudinal analysis; complete relevant training

Required Qualifications

• Registered in a PhD Programme in Neuropsychology, Psychology, Cognitive Neuroscience, Public Health, or related field.
• Completed or nearing completion of PhD coursework and ready for the research phase.
• Strong grounding in psychological measurement and quantitative methods (STATA, R, Python).
• Demonstrated interest in ageing, cognition, or mental health.
• Ability to work independently and manage a multi-year research project.
• Excellent academic writing and communication skills.

Relevant Experience

• Experience with cognitive or psychological testing.
• Familiarity with psychometric methods (e.g., reliability, factor analysis, IRT).
• Exposure to population-based or field research.
• Interest in cross-cultural measurement and LMIC research contexts.

Personal Characteristics & Behaviours

• Demonstrates high scientific integrity and attention to detail. 
• Strong analytical and problem‑solving skills. 
• Strong communication skills and collaboration.
• Culturally sensitive and adaptable in diverse environments. 
• Commitment to learning and Professional Development.

go to method of application »

Key Responsibilities

Doctoral research design

• Develop a biomarker-focused PhD protocol aligned with LOSHAK priorities; define analyte panels and analytical strategy; secure ethics and regulatory approvals.

Laboratory & biospecimen workflows

• Design and implement biospecimen handling, storage, and assay pipelines for AD/ADRDs and CVD biomarkers; contribute to SOPs development and Quality Assurance (QA)

Data integration & analysis

• Link biomarker data with cognitive, clinical, and longitudinal survey data; apply appropriate statistical and epidemiological methods.

Scholarly outputs

• Produce thesis chapters; prepare manuscripts; disseminate findings to scientific and clinical audiences.

Platform & team engagement

• Contribute to LOSHAK laboratory and biobank development; engage with multidisciplinary teams (epidemiology, neurology, cardiology, data science)

Professional development

• Build expertise in biomarker science, neurocardiovascular ageing, and longitudinal analysis; complete relevant training

Required Qualifications

• Registered in a PhD Programme in Laboratory Medicine, Pathology, Biomedical Sciences, Epidemiology, or related field.
• Completed or nearing completion of PhD coursework and ready for the research phase.
• Strong grounding in laboratory methods and quantitative analysis (STATA, R, Python).
• Demonstrated interest in ageing, dementia, cardiovascular disease, or biomarker science.
• Ability to work independently and manage a multi-year research project.
• Excellent academic writing and communication skills.

Relevant Experience

• Experience with biomarker assays (e.g., immunoassays, proteomics, metabolomics).
• Familiarity with biobanking or biospecimen management.
• Exposure to population-based or clinical research.
• Interest in translational and policy-relevant ageing research in LMICs.

Personal Characteristics & Behaviours

• Demonstrates high scientific integrity and attention to detail. 
• Strong analytical and problem‑solving skills. 
• Strong communication skills and collaboration.
• Culturally sensitive and adaptable in diverse environments. 
• Commitment to learning and Professional Development.