Weill Cornell Medicine-Qatar (WCM-Q) is a pioneering medical institution established in 2001 through a partnership between Cornell University and Qatar Foundation. As the first medical school in Qatar and a cornerstone of Education City, WCM-Q offers an integrated Six-Year Medical Program leading to a Cornell University M.D. degree. The institution is dedicated to advancing medical education, conducting cutting-edge research, and improving healthcare outcomes. This postdoctoral position is within WCM-Q’s dynamic research division, focusing on the frontier of multi-omics data analysis to unravel the complexities of human disease.
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Job Title: Postdoctoral Associate in Data Analysis at Weill Cornell Medicine-Qatar (Qatar)
Full Time
📍 Location: Doha, Qatar 🇶🇦
Company: Weill Cornell Medicine-Qatar (WCM-Q)
Apply nowPosition Overview: Postdoctoral Associate in Data Analysis
Weill Cornell Medicine-Qatar is seeking a highly motivated and skilled Postdoctoral Associate in Data Analysis to join its research team. This is a specialized research role for a PhD graduate with a strong computational background and deep experience in analyzing large-scale biological datasets. You will be responsible for independently formulating hypotheses and performing comprehensive analysis of cutting-edge omics data—including methylation, metabolomics, and proteomics—to characterize complex diseases through the integration of multi-omics modalities. This position offers a unique opportunity to contribute to high-impact research within a world-class academic medical environment.
Key Responsibilities
The successful candidate will be entrusted with the following advanced research duties:
Research & Analysis:
- Independent Research: Formulate hypotheses independently and conduct comprehensive computational analysis of methylation, metabolomics, and proteomics datasets.
- Bioinformatics Pipeline Development: Develop, implement, and optimize bioinformatics pipelines for the integration of multi-omics data.
- Biomarker Discovery: Interpret complex results to identify novel biomarkers or molecular signatures associated with complex diseases.
Collaboration & Communication:
- Team Collaboration: Collaborate effectively with core facility members, principal investigators, and external partners to ensure high-quality data processing and analysis.
- Scientific Dissemination: Prepare clear reports, visualizations, and draft scientific manuscripts. Publish findings in peer-reviewed journals and present results at internal meetings and international scientific conferences.
Documentation & Professional Development:
- Record Keeping: Maintain accurate and detailed documentation of all analytical methods, results, and project progress.
- Literature Review: Continuously research relevant scientific literature, stay updated with the latest methodological developments, and identify areas for improvement in analytical approaches.
Candidate Requirements (Mandatory)
| Requirement Category | Specific Qualification |
|---|---|
| Education | PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills, supplemented with a solid biology background. |
| Publications (Mandatory) | 3 publications in PubMed-indexed journals are mandatory. |
| Academic Identifiers (Mandatory) | ORCID ID and SCOPUS ID (or equivalent) are mandatory. |
| Technical Expertise | Demonstrated experience in the analysis of large-scale omics datasets (e.g., methylation, metabolomics, proteomics). |
| Programming Skills | Strong programming skills in R, Python, or related analytical tools. |
| Analytical Knowledge | Familiarity with statistical and machine learning approaches for multi-omics integration. |
| Communication | Excellent written and verbal communication skills in English. |
| Collaboration | Proven ability to work collaboratively in a multidisciplinary research environment. |
Ideal Candidate Profile
The ideal postdoctoral associate for this role will be:
- An independent and creative researcher with a strong publication record and the ability to drive a research project from hypothesis to publication.
- A computational expert and biologist, fluent in both the language of data and the underlying biological questions.
- A collaborative scientist who thrives in a multidisciplinary team, working alongside core facility experts and clinical investigators.
- A meticulous documenter and effective communicator, committed to reproducibility and the clear dissemination of scientific findings.
Research Context & Facilities
- Core Focus: Analysis of high-dimensional data from methylation, metabolomics, and proteomics cores.
- Objective: To understand complex disease mechanisms through integrative multi-omics analysis.
- Environment: Access to state-of-the-art core facilities and collaboration with leading researchers at WCM-Q and partner institutions.
Frequently Asked Questions (FAQs)
1. What does “multi-omics integration” mean in practice?
It involves combining data from different biological layers (e.g., what is happening at the DNA methylation level vs. protein levels) to get a holistic, systems-level view of a disease process. This requires sophisticated computational methods to find meaningful patterns across these diverse datasets.
2. Is the publication requirement strict?
Yes. The requirement for 3 publications in PubMed and active ORCID/SCOPUS IDs is a non-negotiable filter to ensure the candidate has a proven track record of successful research and dissemination in the scientific community.
3. What level of programming proficiency is expected?
You should have strong, professional-level programming skills in languages like R and/or Python. This includes data manipulation, statistical analysis, machine learning implementation, and ideally, pipeline development.
4. What types of complex diseases will I study?
While not specified, WCM-Q’s research portfolio often includes areas relevant to Qatar and the region, such as metabolic disorders, cardiovascular disease, cancer, and other conditions where integrating genomics, metabolomics, and proteomics can reveal new biological insights.
How to Apply
If you are a PhD graduate with a strong computational biology background, a solid publication record, and a passion for applying multi-omics analysis to complex diseases, Weill Cornell Medicine-Qatar encourages you to apply.
Submit your application via the official listing:
👉 Apply for Postdoctoral Associate in Data Analysis Position