Postdoctoral Associate in Biomarkers and Translational Research (Parkinson's Disease)

About the role

Weill Cornell Medicine-Qatar is hiring a Postdoctoral Associate in Biomarkers and Translational Research for the Dr. Hilal Lashuel Lab. The position is based in Doha, works Sunday to Thursday, is full time, and focuses on discovering and validating biomarkers for Parkinson's disease and related disorders, including assay development, clinical sample analysis and translational research.

Key responsibilities

• Design, execute and interpret experiments to identify and characterize biomarkers for diagnosis, disease progression and therapeutic studies.
• Develop, optimize and validate assays and analytical methods to detect biomarkers in biofluids, tissues and other clinical samples.
• Apply established assays to clinical cohorts and biobank samples, adapting platforms to ensure reproducible, standardized results.
• Collaborate with clinicians, biobanks, industry partners and multidisciplinary teams to validate biomarkers.
• Help translate findings into clinical applications, including technology transfer and intellectual property.
• Co-develop study designs, sample analysis plans and statistical approaches with principal investigators.
• Review literature, publish findings, write grant applications and present at conferences.
• Mentor students and trainees, maintain research records and comply with ethical and regulatory requirements for human samples and clinical data.

Required profile

• PhD in Biochemistry, Neuroscience, Analytical Chemistry, Bioengineering, Cell or Molecular Biology, Clinical Chemistry or a related field, with post-qualification research experience.
• Demonstrated experience in assay development, biomarker research or analytical method validation.
• Advantageous: experience with human biofluids, clinical samples, cohort studies, industry collaboration, diagnostics development or translational research.

Required skills

• ELISA, ultrasensitive immunoassays, seed amplification assays or mass spectrometry.
• Knowledge of analytical validation principles and pre-analytical variables.
• Data analysis and statistics in R, Python or similar tools (advantageous).
• Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).