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

Position summary

Research duties

• Conduct biomarker discovery and validation research and independently design, execute, and interpret experiments.
• Develop, optimize, and validate assays and analytical methods for biofluids, tissues, and clinically relevant samples.
• Apply assays to clinical cohorts and biobank samples, adapting technology platforms to ensure rigorous, reproducible, standardized results.
• Collaborate with clinical researchers, clinicians, biobanks, industry partners, and multidisciplinary teams.
• Contribute to clinical translation, technology transfer, and intellectual property activities under the principal investigator's guidance.
• Co-develop study designs, sample analysis plans, and statistical approaches with research teams.
• Review literature, interpret findings in biological and clinical contexts, and identify research opportunities.
• Communicate findings in publications, presentations, grant applications, progress reports, meetings, and conferences.
• Support community engagement and train and mentor students, trainees, and team members.
• Maintain research records, sample tracking, documentation, and data; follow institutional, ethical, and regulatory requirements for human samples and clinical data.

Education and experience

• PhD in Biochemistry, Neuroscience/Neurobiology, Analytical Chemistry, Bioengineering, Cell or Molecular Biology, Clinical Chemistry, or a related field, with relevant post-qualification research experience.
• Demonstrated experience in assay development, biomarker research, or analytical method validation.
• Experience with human biofluids, clinical samples, cohort-based studies, industry collaborations, diagnostics development, or translational research is an advantage.

Knowledge and skills

• Strong research background in Parkinson's disease, related disorders, or neurodegenerative disease biomarkers, supported by knowledge of protein biochemistry and molecular biology.
• Proficiency in techniques such as ELISA, ultrasensitive immunoassays, seed amplification assays, or mass spectrometry.
• Knowledge of analytical validation principles, including sensitivity, specificity, precision, linearity, and reproducibility, and of pre-analytical variables.
• Data analysis and statistics proficiency using R, Python, or similar tools is an advantage.
• Strong documentation, record-keeping, data management, communication, collaboration, and organizational skills.
• Experience contributing to scientific publications, grant applications, and research dissemination; proficiency in Microsoft Office Suite.

Work arrangement

• Work location is Qatar. Work days are Sunday through Thursday.

Position details