Postdoctoral Fellow-MSH-13400-371

Responsibilities

• Develop and implement reproducible workflows for neuroimaging data preprocessing, quality control, analysis, and documentation.
• Process and analyze structural MRI and other available neuroimaging modalities.
• Generate imaging-derived measures relevant to brain structure, function, ageing, neurodegeneration, and hormone-related brain changes.
• Conduct rigorous quality control of imaging data, including visual inspection, automated QC metrics, motion assessment, artefact detection.
• Integrate neuroimaging measures with cognitive, clinical, hormonal, demographic, treatment-related, and biomarker data.
• Apply appropriate statistical models for longitudinal and cross-sectional analyses.
• Support data harmonisation, data dictionaries, code documentation, version control, and reproducible research practices.
• Prepare figures, tables, analytic summaries, abstracts, manuscripts, and grant-related materials.
• Work closely with investigators, coordinators, imaging personnel, statisticians, and collaborators to ensure timely completion of project milestones.
• Support IRB-compliant data handling.
• Contribute to meetings, presentations, manuscript preparation, and dissemination of research findings.

Qualifications

• PhD, MD/PhD, or equivalent doctoral degree in neuroscience, biomedical engineering, computer science, biostatistics, epidemiology, neuroimaging, biomedical data science, or a closely related field.
• Strong background in human neuroimaging is required.
• Demonstrated ability to conduct independent quantitative analyses.
• Experience with statistical programming in R, Python, MATLAB, or equivalent.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a multidisciplinary research team.
• Strong organisational skills and attention to detail.
• Commitment to rigorous, ethical, and reproducible research.
• Experience with human neuroimaging data analysis.
• Experience with MRI preprocessing, quality control, and imaging-derived measures.
• Experience with statistical analysis of biomedical, cognitive, clinical, or behavioural data.
• Proficiency in at least one major programming or statistical environment, such as Python, R, MATLAB, or similar.
• Experience preparing scientific manuscripts, abstracts, reports, or presentations.

Goals/Outcomes

• To define the neurobiological and cognitive effects of surgically induced menopause and to identify imaging and multidomain biomarkers associated with risk, resilience, and adaptation following abrupt ovarian hormone deprivation.
• To develop high-quality neuroimaging and multidomain analytic datasets, reproducible processing and analysis workflows, peer-reviewed manuscripts, conference presentations, and grant-related outputs.

About the Role

The postdoctoral fellow will be responsible for neuroimaging and multidomain data analysis for the surgically induced menopause project. The broader aim is to identify neural and multidomain biomarkers that may clarify mechanisms of risk and resilience and inform future strategies for early identification, prevention, and intervention in women’s brain health.

Pay

$72500 - $80000 Annually

Schedule

N/A