Postdoctoral associate in data analysis

Select how often (in days) to receive an alert:Title: Postdoctoral Associate in Data AnalysisDescription:Job: Postdoctoral Associate in Data AnalysisWork Location: QatarOrganization: WCM-Q, Dr. Karsten Suhre LabWork Days: Sunday-ThursdaySponsorship Eligibility: YesClassification: Full TimePosting End Date: 04/19/2026Position SummaryThe position is responsible for analyzing datasets generated by cores in methylation, metabolomics, and proteomics. The focus of this role is to apply advanced analytical and computational approaches to characterize complex diseases through the integration of multi-omics modalities.Job ResponsibilitiesFormulates hypothesis independently and performs comprehensive data analysis of methylation, metabolomics, and proteomics datasets.Develops and implements bioinformatics pipelines for multi-omics data integration.Interprets results and identifies biomarkers or molecular signatures associated with complex diseases.Collaborates with core members, investigators, and external partners to ensure high-quality data processing and analysis.Prepares reports, visualizations, and scientific manuscripts summarizing findings.Writes and publishes articles in peer-reviewed journals that highlight research findings.Prepares and presents research results in internal meetings and external scientific conferences.Maintains accurate documentation of analytical methods, results, and project progress.Researches articles with respect to the assigned study, keeps up to date with the latest developments and identifies areas of improvement.Performs other duties as assigned.Education and ExperiencePh D in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with a biology background.Licenses and CertificationsORCID, SCOPUS ID, or equivalent is a must.3 publications in Pub Med are a must.Knowledge, Skills and AbilitiesDemonstrated experience in the analysis of large-scale omics datasets (e.g., methylation, metabolomics, proteomics).Strong programming skills in R, Python, or related analytical tools.Familiarity with statistical and machine learning approaches for multi-omics integration.Excellent written and verbal communication skills.Ability to work collaboratively in a multidisciplinary research environment.Proficient in MS Office Suite Word, Excel, Power Point, Outlook, etc.Weill Cornell Medicine-Qatar is a partnership between Cornell University and Qatar Foundation, offering integrated medical education and cutting‑edge research opportunities within Education City.Weill Cornell Medicine-Qatar is an Equal Employment Opportunity/Minorities/Females/Vet/Disabled employer.