Research Assistant
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Key skills for this role
About the Role
The Department of Genetics and Genomics at UAE University invites applications for a full-time Research Assistant in rare disease genomics and bioinformatics support. The role requires a Master's degree in a relevant field and experience in genomic data handling, Python, and SQL.
Key Skills for This Role
Responsibilities
- Contribute to a multidisciplinary computational research environment in rare disease genomics
- Support research data systems and bioinformatics workflows
- Manage and organize family level, sample level, sequencing level, and analysis level information
- Prepare clear analytical summaries, reports, and structured documentation
Requirements
- Master's degree in Bioinformatics, Computer Science, Data Science, Biomedical Informatics, Computational Biology, Genomics, or related field
- Experience in genomic or biomedical data handling and structured data management
- Practical experience with Python and database concepts such as SQL
- Familiarity with next generation sequencing workflows and genomic analysis processes
- Minimum 2 3 years of relevant experience in a clinical, research, biomedical, or data systems environment
- Strong attention to detail and accuracy in data curation, workflow tracking, and research documentation
- Ability to work effectively in a multidisciplinary setting
- Good written and verbal communication skills
Full Job Posting
Job Description
- The Department of Genetics and Genomics, College of Medicine and Health Sciences at the United Arab Emirates University invites applications for a full time Research Assistant position in the area of rare disease genomics, research data systems, and bioinformatics support.
- The successful candidate will contribute to a multidisciplinary computational research environment.
Minimum Qualification
- Master's degree in Bioinformatics, Computer Science, Data Science, Biomedical Informatics, Computational Biology, Genomics, or a related field.
- Experience in genomic or biomedical data handling and structured data management.
- Practical experience with Python and database concepts such as SQL.
- Familiarity with next generation sequencing workflows and genomic analysis processes, including quality control, alignment, variant calling, annotation, and interpretation support.
Preferred Qualification
- Experience in rare disease genomics, Mendelian genomics, translational genomics, or biomedical research data systems.
- Experience supporting internal research platforms, web based dashboards, workflow tracking systems, or database backed scientific applications.
- Familiarity with AI assisted tools for scientific data processing, summarization, and reporting.
Expected Skills
- Minimum 2 3 years of relevant experience in a clinical, research, biomedical, or data systems environment.
- Strong attention to detail and accuracy in data curation, workflow tracking, and research documentation.
- Ability to manage and organize family level, sample level, sequencing level, and analysis level information.
- Ability to work effectively in a multidisciplinary setting involving clinical, computational, and research teams.
- Good written and verbal communication skills.
- Ability to prepare clear analytical summaries, reports, and structured documentation.
- Commitment to reproducible practices, organized data management, and responsible handling of research information.
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