Biostatistician

Job Reference: 32344-Biostatistician
Company: RecruitArab - recruiter
Industry: Transportation and Logistics
Job Title: Biostatistician
Location: Abu Dhabi, UAE
Industry: Transportation and Logistics
Closing Date: 2024-09-27
Application Email: apply@recruitarab.com

Job Description:

We are seeking a highly skilled and motivated Biostatistician to join our team in Abu Dhabi, specializing in the transportation and logistics sector. The ideal candidate will play a crucial role in analyzing and interpreting complex data sets to drive informed decision-making and optimize operational efficiencies. This position is perfect for an individual with a strong background in biostatistics, data analysis, and a passion for applying statistical methodologies in a dynamic industry environment.

Key Responsibilities:

- Data Collection and Management: Develop and implement data collection systems and strategies for optimizing statistical efficiency and data quality. Ensure accurate data management practices to support various transportation and logistics projects.

- Statistical Analysis: Conduct rigorous statistical analyses using various methodologies including regression analysis, survival analysis, and multivariate analysis to address transportation-related research questions and operational challenges.

- Model Development: Create predictive models and simulations to forecast demand, optimize routes, and improve service delivery. Collaborate with cross-functional teams to integrate statistical models into operational strategies.

- Reporting and Visualization: Generate comprehensive reports and visualizations that communicate complex statistical concepts and findings to non-technical stakeholders. Present findings and recommendations clearly and effectively to management and other departments.

- Collaboration: Work closely with transportation planners, logistics coordinators, and other stakeholders to identify areas for improvement and provide statistical insights that support strategic initiatives.

- Research and Development: Stay updated on the latest statistical methodologies and technologies relevant to the transportation and logistics industry. Propose innovative solutions and research initiatives to enhance data-driven decision-making.

- Compliance and Quality Assurance: Ensure all statistical practices comply with industry standards and regulations. Participate in the development and implementation of quality assurance procedures for data collection and analysis.

Qualifications:

- Master's degree in Biostatistics, Statistics, Mathematics, or a related field.
- A minimum of 3 to 7 years of relevant experience in biostatistics or data analysis, preferably within the transportation and logistics sector.
- Proficiency in statistical software such as R, SAS, SPSS, or similar tools.
- Strong programming skills in languages such as Python or SQL for data manipulation and analysis.
- Excellent problem-solving abilities and a keen attention to detail.
- Demonstrated ability to communicate complex statistical concepts to diverse audiences.
- Strong teamwork and interpersonal skills, with the ability to work collaboratively in a fast-paced environment.

Benefits:

- Competitive salary and performance-based incentives.
- Opportunities for professional development and continued education.
- A dynamic work environment with a focus on innovation and collaboration.
- Comprehensive health insurance and wellness programs.

If you are passionate about using your statistical expertise to drive improvements in the transportation and logistics sector and are ready to take on new challenges, we invite you to apply for the Biostatistician position. Please submit your application, including a cover letter and CV, to apply@recruitarab.com by 2024-09-27.

We look forward to welcoming a new member to our team who is eager to contribute to our mission of transforming transportation and logistics through data-driven decision-making.


Please inculde this job reference [32344-Biostatistician] in the email when you send your application.

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