Research Data Scientist

Job Description

• Zayed Center for Health Sciences, United Arab Emirates University, invites applications for a Research Data Scientist to join the multidisciplinary team supporting the landmark prospective mother-and-child cohort study, the Mutaba'ah Study.
• The Mutaba'ah Study is the first and largest prospective mother-and-child cohort study in the United Arab Emirates.
• Established in 2017, the study follows more than 18,000 pregnancies and their children from pregnancy through infancy, childhood, and adolescence.
• The study provides a unique national platform for investigating the developmental origins of health and disease and generating evidence to improve maternal and child health policy and practice in the UAE and beyond.
• Position Overview The successful candidate will play a central role in the management, curation, integration, and analysis of large-scale epidemiological and healthcare datasets.
• The position offers an exciting opportunity to contribute to a nationally significant research infrastructure while working closely with epidemiologists, clinicians, biostatisticians, public health researchers, and artificial intelligence specialists.
• The Data Scientist will support the development of high-quality research datasets and reproducible data workflows that underpin a broad portfolio of scientific projects in maternal, neonatal, child, and population health.
• Key Responsibilities Under the supervision of the Principal Investigator and the project Data Manager, the successful candidate will: Data Management and Infrastructure
• Manage, maintain, and enhance large longitudinal research databases and data repositories.
• Develop and implement robust data quality assurance and validation procedures.
• Integrate and harmonize data from multiple sources, including electronic medical records, questionnaires, laboratory systems, and research databases.
• Support the development and maintenance of the study data warehouse and research databank infrastructure.
• Ensure compliance with data governance, privacy, confidentiality, and security requirements. Data Processing and Analytics· Perform data cleaning, transformation, validation, and preprocessing of large datasets.
• Construct derived variables and analytical datasets according to predefined research protocols.
• Develop reproducible workflows for data preparation and analysis.
• Conduct descriptive analyses and generate reports, dashboards, tables, and visualizations.
• Support advanced statistical, machine learning, and predictive modeling projects. Documentation and Research Support
• Prepare and maintain data dictionaries, metadata repositories, data mapping documents, and standard operating procedures.
• Support investigators, graduate students, and collaborators in accessing and utilizing study data.
• Contribute to scientific outputs, including reports, conference presentations, and peer-reviewed publications.
• Participate in multidisciplinary research meetings and project activities. What We Offer
• Opportunity to work on one of the largest and most important population-based cohort studies in the Middle East.
• A collaborative and multidisciplinary research environment.
• Opportunities for professional development, scientific publications, and conference participation.
• Exposure to cutting-edge research in epidemiology, public health, health informatics, and artificial intelligence applications in healthcare.

Minimum Qualification

• Bachelor's degree in:
• Data Science
• Computer Science
• Health Informatics
• Bioinformatics
• Statistics/Epidemiology
• or a closely related discipline.
• Demonstrated experience working with large datasets.
• Strong understanding of database management principles.
• Familiarity with healthcare or biomedical data environments.
• Knowledge of medical terminology is essential.

Preferred Qualification

• Master's degree in Data Science, Health Informatics, Biostatistics, Epidemiology, Computer Science, or a related field.
• Experience working in academic, healthcare, public health, or epidemiological research settings.
• Experience supporting large cohort studies, registries, or clinical databases.
• Experience with machine learning or predictive analytics.
• Evidence of participation in scientific publications or research projects.

Expected Skills

• The ideal candidate will demonstrate: Technical Skills
• Strong proficiency in Python and/or R.
• Experience with SQL and relational database systems.
• Working knowledge of Stata.
• Experience with reproducible data analysis workflows.
• Experience handling large and complex datasets.
• Familiarity with Electronic Medical Record (EMR) systems.
• Knowledge of clinical coding systems (ICD-9, ICD-10, SNOMED, or equivalent). Professional Skills
• Excellent analytical and problem-solving abilities.
• Exceptional attention to detail.
• Strong organizational and project management skills.
• Ability to work independently and manage multiple priorities.
• Strong communication and interpersonal skills.
• Commitment to data confidentiality, ethical research conduct, and data security.
• Ability to collaborate effectively within multidisciplinary teams.

Special Instructions To Applicant

• Please submit:
• Cover letter describing interest and suitability for the position.
• Full curriculum vitae.
• Contact of at least two referees,

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