37 Senior Biostatistician jobs in the United Arab Emirates
Biostatistician
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The job holder is responsible for providing essential support for researchers through providing guidance in study design, data analysis and interpretation. The Biostatistician will ensure the integrity and accuracy of statistical methodologies, contributing to the advancement of scientific research and healthcare.
Core Responsibilities- Study Design and Planning:
- Study Design: Collaborate with researchers to design robust, statistically sound research studies, including clinical trials, observational studies, and other types of investigations.
- Sample Size Calculation: Determine appropriate sample sizes for studies to ensure sufficient statistical power.
- Protocol Development: Contribute to the development of study protocols, including statistical analysis plans.
- Data Analysis:
- Statistical Analysis: Perform statistical analyses using advanced statistical software and methodologies, including descriptive statistics, inferential statistics, and advanced modeling techniques.
- Data Management: Work with data management teams to ensure data quality and integrity for analysis.
- Quality Control: Implement quality control procedures to detect and address anomalies and inconsistencies in datasets.
- Reporting and Interpretation:
- Results Interpretation: Interpret statistical results in the context of research hypotheses and provide insights and recommendations to researchers.
- Manuscript Preparation: Assist in the preparation of manuscripts, reports, posters, and presentations, ensuring accurate and clear representation of statistical findings.
- Grant Applications: Provide statistical input for grant applications, including methodology descriptions and power analysis.
- Consultation and Guidance:
- Research Support: Provide ongoing statistical support and consultation to researchers throughout the study lifecycle, from proposal development to final analysis.
- Education: Conduct training sessions and workshops to educate researchers and staff on statistical methods and best practices.
- Software and Tools:
- Software Utilization: Utilize statistical software such as SAS, SPSS, STATA, and others to perform analyses.
- Tool Development: Develop and maintain statistical tools, scripts, and macros to streamline analysis processes.
- Compliance and Regulatory:
- Ethical Standards: Ensure all statistical analyses comply with ethical guidelines, institutional policies, and regulatory requirements.
- Documentation: Maintain thorough and accurate documentation of all statistical analyses and methodologies used in research projects.
- Continuing Education:
- Professional Development: Stay current with advancements in statistical methodologies, software, and industry trends through continuous education and professional development.
- Knowledge Sharing: Share knowledge and expertise with colleagues and the broader research community to promote best practices in biostatistics.
- Educational Requirements:
- Master's degree in Biostatistics, Statistics, Epidemiology, or a related field.
- PhD in Biostatistics, Statistics, Epidemiology, or related advanced program.
- Overall Experience:
- 3+ years of experience in biostatistics, including experience with clinical trials and healthcare research.
- Extensive experience in performing statistical analyses using advanced statistical software and methodologies.
- Proven experience in collaborating with research teams to design studies, analyze data, and interpret results.
- Experience in working with external partners and institutions.
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Data-Driven Biostatistician
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We are seeking a highly skilled Biostatistics Analyst to join our team.
Job Description:
- Analyze complex biological and ecological data sets using statistical models and machine learning algorithms.
- Develop and implement data visualization tools to communicate findings to stakeholders.
- Collaborate with cross-functional teams to design experiments and develop data-driven solutions.
Required Skills and Qualifications:
- Bachelor's degree in Statistics, Data Science, or a related field.
- 1+ years of experience in data analysis with a focus on ecological or biological datasets.
- Proficiency in R and Python programming languages, as well as SQL and Power BI.
Working Environment:
- M-F, 9 hours/day (8 hours work + 1 hour lunch break).
- A collaborative team environment with a positive attitude and commitment to creating a supportive work environment.
Additional Information:
- The ideal candidate will have strong problem-solving skills, attention to detail, and accuracy.
- Excellent organizational and time management skills, with the ability to work independently and collaboratively.
Data Analysis
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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.
Key Responsibilities- 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
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Data Analysis Leader
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Business Intelligence Lead
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- This role is a leadership position in our Business Intelligence department. ">
- We are seeking a highly skilled and experienced professional to lead our BI projects from start to finish. ">
- The ideal candidate will have a strong background in data analysis, business acumen, and technical project management. ">
Key Responsibilities:
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- Lead the development of business intelligence solutions that meet customer needs. ">
- Collaborate with cross-functional teams to ensure effective communication and delivery. ">
- Maintain high-quality standards for all deliverables. ">
- Ensure timely completion of projects. ">
Required Skills and Qualifications:
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- 5+ years of experience in Business Intelligence, with at least 2 years in a managerial or leadership capacity. ">
- Proven track record of managing and delivering multiple end-to-end BI or data integration projects. ">
- Strong understanding of BI and data architecture concepts, including ETL processes, data modeling, and data governance. ">
- Proficiency in SQL and familiarity with programming languages such as Python or R. ">
- Familiarity with cloud data platforms such as GCP (BigQuery, Dataflow, Cloud Composer) or Azure is a strong advantage. ">
- Demonstrated ability to lead teams, manage multiple projects, and communicate effectively with both technical and non-technical stakeholders. ">
- Strong understanding of the software development lifecycle and agile project management methodologies. ">
Benefits:
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- Opportunity to work on challenging and impactful projects. ">
- Collaborative and dynamic work environment. ">
- Possibility for career growth and advancement. ">
Other Information:
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- R-2721P-3082 ">
- Not Applicable ">
- Full-time ">
- Research, Analyst, and Information Technology ">
- Industries: Advertising Services ">
Data Analysis Professional
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We are seeking a detail-oriented and skilled Data Scientist to drive informed decision-making and innovation across the organization.
- Create actionable insights and predictive models that inform strategic business outcomes.
- Develop robust, explainable data science models that meet business objectives.
- Maintain data quality and integrity throughout the data lifecycle.
- Collaborate with cross-functional teams to embed models into production environments.
- Evaluate data usage for governance, privacy, and regulatory compliance.
Key Requirements:
- 4+ years of experience in data science or a related field.
- University degree or relevant technology certifications.
- Experience following Agile methodologies (certification desirable).
- Excellent communication skills and high proficiency in programming languages such as SQL and Python.
We operate globally, serving customers across multiple continents. Our goal is to deliver exceptional service while driving growth and innovation.
Essential Skills:- Machine Learning
- Data Visualization using Matplotlib, Seaborn, Plotly, or BI tools like Tableau
- Cloud platforms such as MS Azure and Databricks
Data Analysis Opportunities
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Business intelligence specialists in Dibba-El-Fujairah, UAE
We are looking for a skilled business intelligence specialist to join our team. We require an analytical individual who can assist us in refining our data analysis solutions.
The ideal candidate will leverage their knowledge of analytics, database management systems, and statistical software to analyze and document findings from datasets. As a business intelligence specialist, they will be responsible for creating interactive dashboards, generating reports, and providing actionable insights to the team. Additionally, they will collaborate with other departments to ensure accurate data entry.
To be considered for this role, you should possess strong problem-solving and critical thinking skills. You should be able to identify relevant data sources and collect data efficiently. Moreover, you should have a solid understanding of programming languages and data visualization tools.
The successful candidate will receive a competitive reward package.
Responsibilities:- Analyze and document findings from datasets using analytics, database management systems, and statistical software.
- Create interactive dashboards, generate reports, and provide actionable insights to the team.
- Collaborate with other departments to ensure accurate data entry.
- Strong problem-solving and critical thinking skills.
- Ability to identify relevant data sources and collect data efficiently.
- Solid understanding of programming languages and data visualization tools.
Data Analysis Professional
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Job Overview
We are seeking an analytical professional to join our team as a Data Analyst Trainee in a remote work environment.
This is an excellent opportunity for fresh graduates or aspiring data professionals to gain hands-on experience in data analysis, visualization, and reporting. The trainee will work closely with our data analytics team to derive insights, optimize business processes, and support decision-making with data-driven solutions.
Key Responsibilities
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis and generate reports to identify trends and insights.
- Support in developing dashboards and visualizations using tools like Excel, Power BI, or Tableau.
- Work with structured and unstructured data to extract meaningful information.
- Collaborate with different teams to understand data needs and provide analytical support.
- Learn and apply statistical techniques, predictive modeling, and data storytelling.
- Document findings, methodologies, and best practices for future reference.
Requirements
- Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Basic understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
- Knowledge of Python or R for data analysis is a plus.
- Strong analytical thinking and problem-solving skills.
- Attention to detail and ability to work with large datasets.
- Excellent communication and teamwork skills.
- Eagerness to learn new tools and technologies in data analytics.
What We Offer
- Hands-on training and mentorship in data analytics.
- Opportunity to work on real-world projects and datasets.
- Flexible remote work environment.
- Career growth and potential for a full-time position based on performance.
If you are passionate about data and eager to kick-start your career in analytics, we would love to hear from you.
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Data Analysis Specialist
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We are seeking a skilled Quantitative Researcher to join our team.
- Our ideal candidate will have extensive experience in market research and strategy implementation, as well as strong analytical and problem-solving skills.
Key Responsibilities:
- Conduct comprehensive market research to identify new trading opportunities;
- Design and implement effective trading strategies based on market research findings;
- Perform thorough analysis of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions;
- Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies.
Qualifications:
- 2+ years of experience in quantitative research/trading with specialization in spreads/option strategies;
- Experience with market-making trading strategies;
- Strong knowledge of statistical analysis, data mining, and predictive modeling;
- Understanding of market microstructure;
- Experience with using L2/L3 market data for research;
- Exceptional quantitative and mathematical skills, adept problem-solving;
- Proficient in any research-oriented programming language (Python preferred) with ability to write efficient code;
- Strong collaborative spirit, work ethics, and determined drive for success, with ability to work both independently and as part of a team;
- Strong communication skills with ability to clearly explain complex ideas.
Preferred Qualifications:
- Advanced degree (PhD or Masters) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or a related field;
- Good programming skills in programming languages like C/C++ or Rust.
Benefits:
- Full-time employment opportunity;
- Remote work option available;
- Potential for career growth and professional development.
Contact Information:
),Data Analysis Specialist
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The role of a data analyst involves collecting, analyzing, and interpreting complex data to help businesses make informed decisions.
Key Responsibilities:
- Collecting and cleaning data from various sources
- Performing basic data analysis and generating reports to identify trends and insights
- Developing dashboards and visualizations using tools like Excel, Power BI, or Tableau
- Extracting meaningful information from structured and unstructured data
- Collaborating with different teams to understand data needs and provide analytical support
- Applying statistical techniques, predictive modeling, and data storytelling
- Documenting findings, methodologies, and best practices for future reference
Requirements:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Basic understanding of SQL, Excel, and data visualization tools
- Knowledge of Python or R for data analysis is a plus
- Strong analytical thinking and problem-solving skills
- Attention to detail and ability to work with large datasets
- Excellent communication and teamwork skills
- Eagerness to learn new tools and technologies in data analytics
What We Offer:
- Hands-on training and mentorship in data analytics
- Opportunity to work on real-world projects and datasets
- Flexible remote work environment
- Career growth and potential for a full-time position based on performance
Data Analysis Expert
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We are seeking a talented Business Insights and Data Analysis Specialist to join our team. In this role, you will be responsible for analyzing data from multiple sources to provide actionable insights and trends.
Key Responsibilities:
- Extract valuable business insights from large datasets
- Develop and implement mathematical models to solve complex problems
- Evaluate existing data sources and recommend strategies for improvement
- Design and develop reports, dashboards, and visualizations to communicate data insights effectively
- Collaborate with stakeholders to develop data-driven plans and strategies
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- Excellent analytical skills with the ability to interpret complex datasets
- Proficiency in SQL programming language and database management systems (e.g., Oracle)
- Familiarity with statistical analysis software (e.g., SPSS) and reporting tools (e.g., Tableau)
Compensation and Benefits:
- A competitive salary package
- Opportunities for professional growth and development