Research Data Specialist

Weill Cornell Medical College in Qatar (WCMC-Q)

Job: Research Data Specialist
Work Location: Qatar
Organization: Research Division
Work Days: Sunday-Thursday
Sponsorship Eligibility: Yes
Classification: Full Time
Position Summary
The position is responsible for the design, execution and interpretation of complex genomic data analyses across multiple projects, developing computational pipelines and contributing to the overall research plan.
Job Responsibilities
• Designs and executes large-scale genomic data analyses across multiple concurrent research projects, using expert judgment to align scientific goals with available resources and within given constraints.
• Develops, validates, and maintains advanced computational pipelines for high-throughput sequencing, population genetics, and comparative genomics, making informed decisions on tools, algorithms optimization, and scalability.
• Partners with principal investigators and multidisciplinary research teams to co-develop study designs, select appropriate statistical methods and define robust computational plans aligned with research aims.
• Interprets complex analytical outcomes within a biological framework and significantly contributes to developing manuscripts, presentations, and grant submissions.
• Recommends new bioinformatics tools, technologies, and infrastructure to enhance data integration, analysis efficiency, and long-term sustainability.
• Establishes coding and data management standards that promote reproducibility and analytical accuracy.
• Guides team members on the effective use of tools, methods and workflows.
• Serves as a representative of the lab cross-institutional collaborations, consortium meetings, and scientific forums, contributing domain expertise as required.
• Performs other duties as assigned.
Education and Experience
• Bachelor s degree in Computer Science, Bioinformatics, Evolutionary Biology/Genetics or related field.
• 7 or more years of relevant experience.
• A Master's degree is highly preferred.
Knowledge, Skills and Abilities
• Expert knowledge in genomic technologies, statistical genomics, and high-throughput data analysis.
• Expert coding ability in R / Python and knowledge of workflow tools (e.g., Snakemake, Nextflow).
• Strong written and verbal communication skills, including experience writing technical content for publications.
• Ability to lead scientific collaborations and influence data-driven decision-making.
• Strong problem-solving and analytical skills with an eye for detail.
• Strong organizational skills with the ability to multi-task in demanding timeframes.
• Proficient in MS Office Suite of products Word, Excel, PowerPoint, Outlook etc.