65 Epidemiology jobs in the United Arab Emirates

We invite applications for a senior researcher position in mathematical epidemiology to contribute to our research project on modeling population mobility effects on dengue fever transmission dynamics.

This is an excellent opportunity for an experienced researcher to work collaboratively with our team and contribute to the development of mathematical models analyzing disease transmission dynamics influenced by population mobility. Your primary focus will be on working on mathematical epidemiology models (deterministic and stochastic) to analyze disease spread between the UAE and Oman, and investigating the effectiveness of non-pharmacological interventions such as mobility restrictions.

• Develop and implement computational analyses in Python and/or Matlab to model disease transmission dynamics and evaluate intervention strategies.
• Collaborate closely with the project team to design and execute research projects, ensuring high-quality data analysis and interpretation.
• Contribute to the dissemination of research findings through reports and publications in reputable academic journals.

• Minimum Qualification: M.S. degree in Mathematics or related field.
• Preferred Qualification: Ph.D. in Mathematical Epidemiology or related field.
• Strong background in mathematical epidemiology and qualitative/quantitative analysis of differential equations and stochastic differential equations.
• Excellent programming skills in Python and/or Matlab, with experience in developing and using computational models.
• Proficiency in English language, both written and spoken.

You will be part of a dynamic and collaborative research team, with opportunities for professional growth and development. Our department offers a supportive environment, flexible working arrangements, and access to state-of-the-art research facilities.

About this role

We are seeking a highly skilled and experienced Research Manager to lead and execute research activities related to Premarket Tobacco Applications (PMTAs). This critical position will be responsible for the design, implementation, and analysis of epidemiological and statistical studies to support PMTA submissions to regulatory agencies.

Responsibilities:

• Lead the development and execution of research strategies for PMTA submissions, including clinical studies, epidemiological studies, and other relevant scientific investigations.
• Design and analyze epidemiological studies to assess the potential health effects of tobacco products.
• Apply advanced statistical methods to analyze complex datasets and generate meaningful insights for PMTA submissions.
• Collaborate with cross-functional teams, including regulatory affairs, product development, and marketing, to ensure alignment of research activities with overall business objectives.
• Manage external research vendors and consultants, ensuring projects are completed on time and within budget.
• Prepare and review scientific documents for PMTA submissions, including study protocols, statistical analysis plans, and clinical study reports.
• Stay abreast of current regulatory requirements and scientific advancements related to PMTAs and the tobacco/nicotine industry.
• Present research findings to internal and external stakeholders, including regulatory agencies.

Qualifications:

• Advanced degree (Ph.D. or Sc.D.) in Epidemiology, Biostatistics, or a related field.
• Minimum of 4 years of experience in epidemiological and statistical research, preferably within the tobacco/nicotine industry or a related regulated industry (e.g., pharmaceuticals, medical devices).
• Demonstrated expertise in designing and analyzing epidemiological studies, including cohort studies, case-control studies, and cross-sectional surveys.
• Strong proficiency in statistical programming languages (e.g., SAS, R) and statistical modeling techniques.
• Experience with PMTA submissions and regulatory requirements is highly preferred.
• Excellent written and verbal communication skills, including the ability to clearly and concisely present complex scientific information.
• Strong project management skills and the ability to manage multiple projects simultaneously.

Benefits:

This is an excellent opportunity to join our team and contribute to the development of cutting-edge research and submissions. If you have a strong background in statistics, epidemiology, and experience with PMTA submissions or other regulatory experiences, we encourage you to apply.

Tagged as: Biostatistics, Epidemiology, nicotine, Research

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The School of Public Health is at the forefront of research at the intersection of Genomics, Personalized Medicine, Epidemiology, and Artificial Intelligence (AI). A key initiative within the school is the Human Phenotype Project—a groundbreaking, large-scale longitudinal cohort and biobank designed to identify novel molecular markers with diagnostic, prognostic, and therapeutic value. This project involves deep profiling of participants through comprehensive data collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing state-of-the-art predictive models for disease onset and progression. These models are translated into personalized prevention strategies and innovative therapeutic interventions. Research areas of interest include, but not limited to:

• Computational and Systems Biology
• Medical and Health Informatics
• Personalized Medicine
• Foundation AI Models
• Multi-omics and Integrative Data Analysis
• Population-level Cohort and EHR Analysis
• Epidemiology
• Pandemics
• Biomedical Imaging

The Department of Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.

The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years. Faculty joining the department will have full access to unique datasets, including the Human Phenotype Project, enabling innovative research that pushes the boundaries of precision medicine. We invite candidates at all levels (Assistant, Associate and Full Professor) to apply.

About MBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world's first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
• Exceptional Benefits:
  • Comprehensivehealth & life insurance
  • Relocation supportfor international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi:World's safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

To apply for this position, please submit the following items:

• Cover Letter
• Curriculum Vitae
• Statement of research vision and interests
• Statement of teaching interests, experience, and philosophy
• List of key publications for the last five years and Google Scholar H-Index
• Name and contact details for three referees (referees will be contacted during the recruitment process to upload their reference letter via Interfolio).

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI's future – apply today at MBZUAI

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The School of Public Health is at the forefront of research at the intersection of Genomics, Personalized Medicine, Epidemiology, and Artificial Intelligence (AI). A key initiative within the school is the Human Phenotype Project—a groundbreaking, large-scale longitudinal cohort and biobank designed to identify novel molecular markers with diagnostic, prognostic, and therapeutic value. This project involves deep profiling of participants through comprehensive data collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing state-of-the-art predictive models for disease onset and progression. These models are translated into personalized prevention strategies and innovative therapeutic interventions. Research areas of interest include, but not limited to:

• Computational and Systems Biology
• Medical and Health Informatics
• Personalized Medicine
• Foundation AI Models
• Multi-omics and Integrative Data Analysis
• Population-level Cohort and EHR Analysis
• Epidemiology
• Pandemics
• Biomedical Imaging

The Department of Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.

The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the department will have full access to unique datasets, including the Human Phenotype Project, enabling innovative research that pushes the boundaries of precision medicine. We invite candidates at all levels (Assistant, Associate and Full Professor) to apply.

AboutMBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
• Exceptional Benefits:
  • Comprehensivehealth & life insurance
  • Relocation supportfor international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi:World’s safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

To apply for this position, please submit the following items:

• Cover Letter
• Curriculum Vitae
• Statement of research vision and interests
• Statement of teaching interests, experience, and philosophy
• List of key publications for the last five years and Google Scholar H-Index
• Name and contact details for three referees (referees will be contacted during the recruitment process to upload their reference letter via Interfolio).

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI’s future – apply today at MBZUAI

Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Digital Public Health: Epidemiology

Location

Abu Dhabi, UAE

Open Date

Jul 01, 2025

Deadline

Jun 30, 2026 at 11:59 PM Eastern Time

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The School of Public Health is at the forefront of research at the intersection of Genomics, Personalized Medicine, Epidemiology, and Artificial Intelligence (AI). A key initiative within the school is the Human Phenotype Project—a groundbreaking, large-scale longitudinal cohort and biobank designed to identify novel molecular markers with diagnostic, prognostic, and therapeutic value. This project involves deep profiling of participants through comprehensive data collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing state-of-the-art predictive models for disease onset and progression. These models are translated into personalized prevention strategies and innovative therapeutic interventions. Research areas of interest include, but not limited to:

• Computational and Systems Biology
• Medical and Health Informatics
• Personalized Medicine
• Foundation AI Models
• Multi-omics and Integrative Data Analysis
• Population-level Cohort and EHR Analysis
• Epidemiology
• Pandemics
• Biomedical Imaging

The Department of Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.

The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the department will have full access to unique datasets, including the Human Phenotype Project, enabling innovative research that pushes the boundaries of precision medicine. We invite candidates at all levels (Assistant, Associate and Full Professor) to apply.

AboutMBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
• Exceptional Benefits:
  • Comprehensivehealth & life insurance
  • Relocation supportfor international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi:World’s safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

Application Instructions

To apply for this position, please submit the following items:

• Cover Letter
• Curriculum Vitae
• Statement of research vision and interests
• Statement of teaching interests, experience, and philosophy
• List of key publications for the last five years and Google Scholar H-Index
• Name and contact details for three referees (referees will be contacted during the recruitment process to upload their reference letter via Interfolio).

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI’s future – apply today at MBZUAI

Mohamed bin Zayed University of Artificial Intelligenceshall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Join to apply for the Medical Research Specialist I role at United Arab Emirates University, Department of Family Medicine .

This is a technical position involving a variety of tasks in a cancer research project. The role requires an intuitive team player reporting to the investigator, with foresight, high motivation, and strong problem-solving and time management skills. The applicant will assist students in research experiments by providing technical support and training.

• Experimental Research & Data Analysis: Conduct experiments, perform statistical analysis of data, and contribute to the interpretation, oral presentation, and written communication of research findings.
• Training & Supervision: Assist in the training and supervision of graduate and undergraduate students, ensuring they acquire technical and research skills.
• Laboratory Management & Organization: Oversee the PI's laboratory operations, including inventory management and procurement of laboratory supplies and consumables.
• Technical Development & Equipment Maintenance: Responsible for the technical development, routine maintenance, and troubleshooting of laboratory equipment to ensure optimal functionality.
• Laboratory Safety & Compliance: Ensure adherence to best practices and safety protocols in the laboratory to maintain a secure research environment.
• Animal Research & Handling: Maintain a nude mice colony and independently perform animal experiments, including minor surgical procedures, injections, and collection of blood and organs. Conduct chick embryo chorioallantoic membrane (CAM) tumor growth assays.
• Cell Culture & Functional Assays: Perform experiments involving tissue culture and related assays, including cell viability, proliferation, apoptosis, migration, invasion, angiogenesis, and colony growth assays.
• Molecular & Biochemical Techniques: Conduct general biochemistry and molecular biology experiments, such as RNA extraction, PCR, Western blotting, immunocytochemistry, and ELISA.

• Minimum Qualification: Master's degree in a relevant biomedical discipline.
• Preferred Qualification: Master's degree in a relevant biomedical discipline.

• Experience in cancer biology techniques such as colony formation, cancer cell proliferation, migration, and invasion.
• Knowledge in angiogenesis assays such as tubule formation and sprouting.
• Knowledge of chick embryo chorioallantoic membrane tumor growth and metastasis models.
• Animal handling and tumor xenograft implantation is required.
• Knowledge in hematology and serology.
• Proficient in Microsoft Office Suite, GraphPad Prism for statistical analysis, and reference management software (EndNote, Mendeley, or Zotero).
• Communication skills and proficiency in English.

Close Date: Please apply before the closing date of 11/09/2025.

Join to apply for the Medical Research Specialist I role at United Arab Emirates University, Department of Family Medicine.

This is a technical position involving a variety of tasks in a cancer research project. The role requires an intuitive team player reporting to the investigator, with foresight, high motivation, and strong problem-solving and time management skills. The applicant will assist students in research experiments by providing technical support and training.

• Experimental Research & Data Analysis: Conduct experiments, perform statistical analysis of data, and contribute to the interpretation, oral presentation, and written communication of research findings.
• Training & Supervision: Assist in the training and supervision of graduate and undergraduate students, ensuring they acquire technical and research skills.
• Laboratory Management & Organization: Oversee the PI’s laboratory operations, including inventory management and procurement of laboratory supplies and consumables.
• Technical Development & Equipment Maintenance: Responsible for the technical development, routine maintenance, and troubleshooting of laboratory equipment to ensure optimal functionality.
• Laboratory Safety & Compliance: Ensure adherence to best practices and safety protocols in the laboratory to maintain a secure research environment.
• Animal Research & Handling: Maintain a nude mice colony and independently perform animal experiments, including minor surgical procedures, injections, and collection of blood and organs. Conduct chick embryo chorioallantoic membrane (CAM) tumor growth assays.
• Cell Culture & Functional Assays: Perform experiments involving tissue culture and related assays, including cell viability, proliferation, apoptosis, migration, invasion, angiogenesis, and colony growth assays.
• Molecular & Biochemical Techniques: Conduct general biochemistry and molecular biology experiments, such as RNA extraction, PCR, Western blotting, immunocytochemistry, and ELISA.

• Minimum Qualification: Master’s degree in a relevant biomedical discipline.
• Preferred Qualification: Master’s degree in a relevant biomedical discipline.

• Experience in cancer biology techniques such as colony formation, cancer cell proliferation, migration, and invasion.
• Knowledge in angiogenesis assays such as tubule formation and sprouting.
• Knowledge of chick embryo chorioallantoic membrane tumor growth and metastasis models.
• Animal handling and tumor xenograft implantation is required.
• Knowledge in hematology and serology.
• Proficient in Microsoft Office Suite, GraphPad Prism for statistical analysis, and reference management software (EndNote, Mendeley, or Zotero).
• Communication skills and proficiency in English.

Close Date: Please apply before the closing date of 11/09/2025.

We're seeking a pioneering Data Science Researcher to lead high-impact research initiatives and drive forward new ideas.

As a key member of our international team, you'll collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation.

The ideal candidate will thrive in research-heavy environments, pushing the boundaries of applied machine learning – especially in the context of medical and clinical data.

Requirements :

• Exceptional analytical and statistical skills, comfortable with uncertainty, inference, and experimentation;
• Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
• Solid experience with deep learning frameworks like PyTorch or TensorFlow;
• Excellent Python skills – ability to build clean, testable, production-ready code;
• Familiarity with medical or life science data is a strong plus;
• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
• Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with :

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
• Experience with pipeline orchestration tools like Airflow, Argo, etc.;
• Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
• Intermediate+ English – ability to participate in written discussions with international teams and clients.

Benefits :

• Collaborate with experts on meaningful challenges with long-term value for public health and healthcare quality;
• Work in a fully remote-friendly setup with flexibility and trust at the core;
• Join a mission-driven team working at the intersection of data, medicine, and impact.

Job overview: To lead strategic and operational projects, analyze data for decision-making, develop policies based on insights, and enable digital transformation through electronic system integration.

• Develop and monitor strategic and operational project plans.
• Analyze numbers, financial indicators, and statistical data to extract accurate insights and recommendations.
• Prepare and review impactful policy and analytical studies.
• Coordinate and implement electronic integrations between internal and external systems.
• Design and build interactive dashboards for performance monitoring.
• Apply artificial intelligence techniques to enhance institutional performance.
• Prepare and deliver professional PowerPoint presentations.

• Bachelor's or Master's degree in Business Administration, Data Analysis, Information Systems, or equivalent.
• 3 to 5 years of professional experience in project management and data analysis.
• Advanced proficiency in data analysis tools: Power BI, Excel, SQL.
• Familiarity with project management tools such as MS Project or Jira.
• Experience in public policy analysis and impact assessment.
• Good understanding of electronic integration (APIs – Web Services).
• Familiarity with AI concepts and their application in business.
• Strong ability to understand and analyze numerical and statistical data in an operational context.

• PMP – Project Management Professional
• Microsoft Certified: Data Analyst Associate (Power BI)
• Google Data Analytics Certificate
• Microsoft AI Fundamentals (AI-900)
• Scrum Master / Agile Foundation
• API Fundamentals by Postman
• Effective Business Presentation (LinkedIn Learning)

• Analytical thinking and strategic planning.
• Strong communication skills.
• Effective time and task management.
• Teamwork and cross-functional collaboration.
• Attention to detail and accuracy.

• Arabic: For policy, official communication, and internal/local coordination.
• English: For using technical tools, reporting, and professional communication.

• Not Applicable

• Contract

• Information Technology

• IT Services and IT Consulting