What Jobs are available for Clinical Data Manager in Bahrain?
Showing 51 Clinical Data Manager jobs in Bahrain
Lead Clinical Data Manager
BH50001 Riffa, Southern
BHD110000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is a fast-growing pharmaceutical company seeking a highly skilled and experienced Lead Clinical Data Manager to join their fully remote team. In this pivotal role, you will be instrumental in ensuring the accuracy, integrity, and completeness of clinical trial data. You will lead a team of data managers, overseeing the design, development, and execution of data management plans that adhere to rigorous regulatory standards. This position requires a deep understanding of clinical data management systems, CDISC standards, and GCP guidelines. If you are passionate about data quality and thrive in a remote, collaborative environment, this opportunity is for you.
Responsibilities:
Responsibilities:
- Lead and manage all aspects of clinical data management for multiple global clinical trials.
- Develop and maintain comprehensive Data Management Plans (DMPs) in accordance with study protocols and regulatory requirements.
- Oversee the design, build, and validation of clinical databases using EDC systems.
- Establish and implement data quality standards, procedures, and checks to ensure data integrity.
- Manage data cleaning activities, including query generation, resolution, and reconciliation of discrepancies.
- Ensure compliance with CDISC SDTM and ADaM standards for data submission.
- Collaborate closely with clinical operations, biostatistics, programming, and clinical research physicians.
- Train and mentor junior data management staff, fostering a culture of continuous improvement.
- Contribute to the selection and implementation of new data management technologies and tools.
- Prepare data management sections of study reports and regulatory submissions.
- Oversee user acceptance testing (UAT) for database builds and changes.
- Ensure all data management activities adhere to Good Clinical Practice (GCP) and relevant regulatory guidelines.
- Manage timelines and resources effectively to meet project milestones.
- Act as the primary point of contact for data management-related issues with external vendors and internal stakeholders.
- Champion best practices in data management across the organization.
- Bachelor's or Master's degree in a relevant scientific or health-related field.
- Minimum of 7 years of experience in clinical data management within the pharmaceutical or biotech industry.
- Proven experience in leading and managing data management teams.
- In-depth knowledge of Electronic Data Capture (EDC) systems (e.g., Medidata Rave, Oracle Clinical).
- Expertise in CDISC SDTM and ADaM data standards.
- Strong understanding of ICH-GCP guidelines and regulatory requirements (FDA, EMA).
- Excellent knowledge of database design, validation, and data cleaning processes.
- Proficiency in SQL for data analysis and query generation is highly desirable.
- Exceptional leadership, communication, and interpersonal skills.
- Ability to work effectively in a remote, fast-paced environment.
- Detail-oriented with strong analytical and problem-solving abilities.
- Experience with clinical trial design and study conduct.
- Familiarity with medical coding practices (MedDRA, WHODrug).
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0
Senior Clinical Data Manager
711 Tubli
BHD90000 Annually
WhatJobs
Posted 15 days ago
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Job Description
Our client, a leading biopharmaceutical company at the forefront of therapeutic innovation, is seeking an experienced Senior Clinical Data Manager to oversee the integrity and quality of clinical trial data. This role offers a hybrid work arrangement, combining strategic remote responsibilities with essential on-site collaboration at our A'ali, Northern, BH facilities. You will play a crucial role in ensuring that clinical trial data is accurate, complete, and compliant with regulatory standards.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of clinical data management plans and databases for Phase I-IV clinical trials.
- Oversee data collection, validation, cleaning, and query resolution processes to ensure data accuracy and integrity.
- Develop and maintain data management systems, including electronic data capture (EDC) tools and databases.
- Collaborate closely with clinical operations, biostatistics, and programming teams to define data standards and requirements.
- Ensure compliance with Good Clinical Practice (GCP), ICH guidelines, and other relevant regulatory requirements.
- Develop and execute data validation checks and edit checks to identify and resolve data discrepancies.
- Manage external data vendors and ensure the quality and timeliness of their deliverables.
- Create and maintain data management documentation, including data management plans (DMPs), data validation plans, and database lock procedures.
- Train and mentor junior data managers and data management personnel.
- Participate in the review of study protocols, case report forms (CRFs), and other clinical trial documents.
- Oversee the process of database lock and archival at the conclusion of clinical trials.
- Contribute to the continuous improvement of data management processes and standards.
- Manage data review meetings and facilitate discussions for query resolution.
- Ensure the security and confidentiality of all clinical trial data.
- Assist in the preparation of regulatory submissions and responses to health authority queries.
- Bachelor's degree in a life science, computer science, statistics, or a related field. A Master's degree is preferred.
- Minimum of 7 years of experience in clinical data management within the pharmaceutical or biotechnology industry.
- Proven experience managing data for global clinical trials across various therapeutic areas.
- Strong knowledge of GCP, ICH, and other relevant regulatory guidelines.
- Proficiency with clinical data management systems and EDC platforms (e.g., Medidata Rave, Oracle Clinical, Veeva EDC).
- Experience in database design, data validation, and query management.
- Excellent analytical, problem-solving, and organizational skills.
- Strong written and verbal communication skills, with the ability to communicate effectively with diverse teams.
- Ability to work effectively in a hybrid environment, balancing remote and on-site responsibilities.
- Experience in leading data management activities and mentoring junior staff.
- Familiarity with CDISC standards (SDTM, ADaM) is a significant plus.
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1
Lead Clinical Data Manager
50051 Al Muharraq
BHD105000 Annually
WhatJobs
Posted 15 days ago
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Job Description
Our client, a leader in the pharmaceutical industry, is seeking an experienced and meticulous Lead Clinical Data Manager to oversee clinical data operations in Sanad, Capital, BH . This pivotal role is responsible for ensuring the integrity, accuracy, and quality of clinical trial data, from database design through to database lock and archival. You will lead a team of clinical data managers, providing guidance, training, and performance management to ensure adherence to protocols, company standards, and regulatory requirements (e.g., FDA, EMA). Responsibilities include developing and managing data management plans, designing electronic data capture (EDC) systems, establishing data validation checks, and overseeing data review and cleaning processes. Strong collaboration with clinical operations, biostatistics, programming, and medical monitoring teams is essential to ensure timely and accurate data collection and management. The ideal candidate will have a deep understanding of clinical trial processes, database technologies, and data management best practices. Experience with CDISC standards (SDTM, ADaM) and various EDC platforms is highly desirable. This role requires exceptional organizational skills, attention to detail, and the ability to manage multiple complex projects simultaneously. We are looking for a strategic thinker with excellent leadership and communication abilities, capable of driving continuous improvement in data management processes. If you are a seasoned clinical data management professional looking to take on greater responsibility and contribute to life-saving pharmaceutical research, we encourage you to apply.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead and manage clinical data management activities for assigned clinical trials.
- Develop and implement Data Management Plans (DMPs).
- Oversee the design, build, and validation of Electronic Data Capture (EDC) systems.
- Establish and execute data validation strategies, including the development of data query resolutions.
- Ensure data quality, integrity, and compliance with regulatory requirements (GCP, FDA, EMA).
- Manage database lock processes and ensure timely completion.
- Collaborate closely with clinical operations, biostatistics, and programming teams.
- Mentor and train junior data management staff.
- Contribute to the development and implementation of departmental SOPs and best practices.
- Oversee data archiving and retrieval processes.
Qualifications:
- Bachelor's degree in a relevant scientific or healthcare field.
- Minimum of 8 years of experience in clinical data management, with at least 3 years in a lead or supervisory role.
- In-depth knowledge of clinical trial processes and regulatory guidelines (GCP, FDA, EMA).
- Expertise in EDC systems (e.g., Medidata Rave, Oracle Clinical) and data management principles.
- Familiarity with CDISC standards (SDTM, ADaM).
- Strong leadership, project management, and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Effective written and verbal communication skills.
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2
Senior Remote Clinical Data Manager
22110 Mahooz, Capital
BHD120000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a cutting-edge pharmaceutical research organization, is seeking an experienced Senior Clinical Data Manager to lead and execute data management activities for their global clinical trials. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical drug development programs. You will be responsible for overseeing the entire lifecycle of clinical trial data, from database design and build to data validation, query management, and database lock. The ideal candidate possesses a strong understanding of clinical trial processes, data management best practices, and regulatory requirements (e.g., GCP, ICH). You will work collaboratively with cross-functional teams, including clinical operations, biostatistics, and programming, to ensure the accuracy, integrity, and timeliness of clinical trial data. This role demands exceptional attention to detail, strong leadership skills, and the ability to manage multiple complex projects simultaneously in a remote environment. Our client is committed to advancing medical science and requires a Senior Clinical Data Manager who can uphold the highest standards of data quality. Responsibilities:* Lead the design, development, and implementation of clinical data management systems and databases.* Oversee data collection, validation, cleaning, and query management processes.* Ensure compliance with study protocols, standard operating procedures (SOPs), and regulatory guidelines.* Develop and maintain data management plans (DMPs) and other study-specific documentation.* Manage and mentor junior data management personnel as needed.* Collaborate with investigators, clinical research associates (CRAs), and other study team members to resolve data issues.* Perform User Acceptance Testing (UAT) for clinical databases and related applications.* Contribute to the development and improvement of data management SOPs and standards.* Ensure timely database lock and archival of clinical trial data.* Serve as a key point of contact for data management aspects of clinical trials.Qualifications:* Bachelor's degree in a scientific, technical, or healthcare-related field.* Minimum of 5-7 years of experience in clinical data management within the pharmaceutical or biotechnology industry.* In-depth knowledge of clinical trial processes and data management software (e.g., Medidata Rave, Oracle Clinical, Inform).* Strong understanding of GCP, ICH guidelines, and regulatory requirements.* Proven leadership and project management skills.* Excellent analytical, problem-solving, and critical thinking abilities.* Superior attention to detail and commitment to data accuracy.* Exceptional written and verbal communication skills.* Ability to work independently and manage priorities effectively in a remote setting.* Experience with CDISC standards (SDTM, ADaM) is highly desirable.Join our client's innovative team and play a pivotal role in bringing life-changing therapies to market from a fully remote position based anywhere. The **Jidhafs, Capital, BH** area is representative of the global reach our client serves.
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3
Remote Pharmaceutical Data Scientist - Clinical Trials
711 Amwaj Islands
BHD110000 Annually
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Posted 2 days ago
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Job Description
Our client, a leading pharmaceutical research company, is seeking a highly analytical and innovative Remote Pharmaceutical Data Scientist to join their Biostatistics and Data Management team. This is a fully remote position, allowing you to contribute to critical clinical trial data analysis from anywhere. You will leverage advanced statistical techniques and machine learning algorithms to interpret complex clinical trial data, identify trends, and support evidence-based decision-making. This role is crucial for accelerating drug development and ensuring the safety and efficacy of new therapies.
Responsibilities:
Responsibilities:
- Design and implement statistical analysis plans for clinical trials across various therapeutic areas.
- Analyze large, complex datasets generated from clinical trials, including real-world data.
- Develop and apply predictive models and machine learning algorithms to identify patient cohorts, predict treatment outcomes, and optimize trial design.
- Collaborate closely with clinical researchers, biostatisticians, and medical professionals to interpret findings and provide actionable insights.
- Develop data visualization tools and dashboards to communicate complex data effectively to diverse audiences.
- Ensure the integrity, accuracy, and quality of clinical trial data analysis in compliance with regulatory standards (e.g., FDA, EMA).
- Contribute to the development of innovative data analysis methodologies and approaches.
- Stay current with the latest advancements in data science, machine learning, and pharmaceutical statistics.
- Prepare technical reports, research papers, and presentations for scientific conferences and regulatory submissions.
- Manage multiple projects simultaneously and work effectively in a remote, cross-functional team environment.
- Validate and document analytical processes and results.
- Contribute to the strategic direction of data science applications within drug development.
- Ph.D. or Master's degree in Data Science, Biostatistics, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a focus on pharmaceutical or clinical trial data analysis.
- Strong proficiency in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Expertise in programming languages such as R, Python, and SQL.
- Experience with clinical trial data standards (e.g., CDISC) and regulatory requirements.
- Familiarity with clinical trial phases and drug development processes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Proven ability to work independently and collaboratively in a remote setting.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
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4
Pharmaceutical Data Scientist
BH11 8AE Saar, Northern
BHD110000 Annually
WhatJobs
Posted 25 days ago
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Job Description
Our client, a leading pharmaceutical research and development company, is seeking a highly skilled Pharmaceutical Data Scientist to join their innovative team. This role, based in the dynamic area of Saar, Northern, BH , offers a hybrid work model, combining remote flexibility with essential in-office collaboration. You will be at the forefront of leveraging advanced data analytics and machine learning techniques to drive drug discovery, clinical trial optimization, and post-market surveillance. Your responsibilities will include designing and implementing data-driven strategies for analyzing large-scale biological, chemical, and clinical datasets. You will develop predictive models to identify potential drug candidates, forecast treatment efficacy, and optimize patient stratification for clinical trials. Experience with bioinformatics tools, statistical analysis software (e.g., R, Python), and database management is crucial. The ideal candidate will collaborate closely with R&D scientists, clinicians, and bioinformaticians to translate complex scientific questions into actionable data insights. You will be responsible for data visualization, reporting, and presenting findings to both technical and non-technical audiences. This role demands a strong understanding of pharmaceutical R&D processes, regulatory requirements (e.g., FDA, EMA), and data privacy principles. A Master's or Ph.D. in Data Science, Bioinformatics, Biostatistics, Computer Science, or a related quantitative field is required. A minimum of 5 years of relevant experience in the pharmaceutical or biotechnology industry is essential. Excellent communication, problem-solving, and analytical skills are mandatory. This hybrid role offers a compelling opportunity to make a significant contribution to the advancement of healthcare through data science.
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5
Remote Pharmaceutical Data Manager
2001 Bilad Al Qadeem, Capital
BHD70000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a dynamic pharmaceutical research company, is actively seeking an experienced Remote Pharmaceutical Data Manager to oversee and manage critical data sets generated from clinical trials and research activities. This fully remote position requires a meticulous approach to data integrity, compliance, and analysis within the pharmaceutical industry. Your primary responsibilities will include designing and implementing data management plans, ensuring adherence to Good Clinical Practice (GCP) guidelines, FDA regulations, and other relevant industry standards. You will be responsible for database setup, data entry validation, query management, data cleaning, and the final database lock process. This role involves close collaboration with clinical research associates, biostatisticians, programmers, and investigators to ensure the quality and accuracy of all collected data. Experience with Electronic Data Capture (EDC) systems (e.g., Medidata Rave, Oracle Clinical) is essential. Strong understanding of medical coding (MedDRA, WHODrug) and data standardization (CDISC) is also required. You should possess excellent analytical skills, problem-solving abilities, and the capacity to work independently with minimal supervision. Proficiency in SQL or other database querying languages is a significant advantage. Excellent written and verbal communication skills are necessary for effective collaboration within a distributed team. This role requires a bachelor's degree in a relevant scientific field (e.g., life sciences, computer science, statistics) and a minimum of 3-5 years of direct experience in pharmaceutical data management. The ability to manage multiple projects simultaneously and meet strict deadlines is critical.
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6
Remote Pharmaceutical Data Analyst
2614 Galali
BHD70000 Annually
WhatJobs Direct
Posted 1 day ago
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Job Description
Our client, a prominent player in the pharmaceutical industry, is seeking a skilled and analytical Remote Pharmaceutical Data Analyst. This is a fully remote position, offering a unique opportunity to leverage your data expertise in a flexible work environment. You will be responsible for collecting, analyzing, and interpreting complex pharmaceutical data to support strategic decision-making, drug development, and market insights.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and organize large datasets from various pharmaceutical sources, including clinical trials, sales, and market research.
- Perform statistical analysis and develop models to identify trends, patterns, and insights in pharmaceutical data.
- Create comprehensive reports, dashboards, and visualizations to communicate findings to stakeholders across different departments.
- Support the drug development process by analyzing preclinical and clinical trial data.
- Evaluate market trends, competitor activities, and customer behavior to provide actionable business intelligence.
- Ensure data accuracy, integrity, and adherence to data privacy regulations (e.g., GDPR, HIPAA where applicable).
- Collaborate with R&D, marketing, sales, and regulatory affairs teams to understand their data needs and provide analytical support.
- Develop and maintain data dictionaries and documentation for analytical processes.
- Identify opportunities for process improvements in data collection, analysis, and reporting.
- Stay updated on the latest trends and technologies in data analytics and the pharmaceutical industry.
- Conduct ad-hoc analyses to address specific business questions and challenges.
- Contribute to the development of data governance strategies.
- Validate analytical models and ensure their reliability and accuracy.
- Present complex data findings in a clear and concise manner to both technical and non-technical audiences.
- Assist in the development of predictive models for drug efficacy and market success.
- Master's or Ph.D. in Statistics, Data Science, Bioinformatics, Pharmacy, or a related quantitative field.
- Proven experience (3+ years) as a Data Analyst, preferably within the pharmaceutical or healthcare industry.
- Strong proficiency in statistical programming languages such as R or Python.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of database management systems and SQL.
- Familiarity with clinical trial data (e.g., CDISC standards) and pharmaceutical market data is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex findings to diverse audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Knowledge of machine learning techniques is a plus.
- Understanding of regulatory requirements in the pharmaceutical industry.
- Detail-oriented with a commitment to data quality and accuracy.
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7
Remote Pharmaceutical Data Analyst
324 Amwaj Islands
BHD65000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a globally recognized pharmaceutical innovator, is actively seeking a highly analytical and detail-oriented Remote Pharmaceutical Data Analyst to join their expanding team. This is a fully remote position, offering flexibility and the opportunity to contribute to significant advancements in drug development from anywhere. You will be responsible for collecting, analyzing, and interpreting complex datasets related to clinical trials, drug efficacy, safety profiles, and market trends. Your insights will be critical in guiding strategic decision-making, identifying areas for improvement, and ensuring regulatory compliance. This role demands a strong quantitative background, proficiency in data analysis tools, and a comprehensive understanding of the pharmaceutical industry.
Key responsibilities include:
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related quantitative field. Proven experience in data analysis within the pharmaceutical or biotechnology industry is essential. Proficiency in statistical software packages (e.g., R, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI) is required. Strong SQL skills for database management and querying are also necessary. Excellent analytical, problem-solving, and critical thinking skills, coupled with strong written and verbal communication abilities, are crucial. Given the remote nature of this role, a self-starter attitude, excellent time management, and the ability to work independently are paramount.
Key responsibilities include:
- Collecting, cleaning, and validating large datasets from various sources, including clinical trials, pharmacovigilance, and market research.
- Performing statistical analyses to identify trends, patterns, and correlations in pharmaceutical data.
- Developing and maintaining databases and data models for efficient data storage and retrieval.
- Creating comprehensive reports, dashboards, and visualizations to communicate findings to stakeholders, including scientific and non-scientific audiences.
- Identifying key performance indicators (KPIs) and tracking progress against strategic objectives.
- Collaborating with cross-functional teams, including R&D, clinical operations, regulatory affairs, and marketing, to provide data-driven recommendations.
- Ensuring data integrity, accuracy, and compliance with regulatory standards (e.g., GDPR, HIPAA).
- Staying updated on the latest data analysis techniques, software, and industry best practices.
- Assisting in the development of predictive models for drug performance and market forecasting.
- Providing ad-hoc data analysis and support as required by various departments.
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related quantitative field. Proven experience in data analysis within the pharmaceutical or biotechnology industry is essential. Proficiency in statistical software packages (e.g., R, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI) is required. Strong SQL skills for database management and querying are also necessary. Excellent analytical, problem-solving, and critical thinking skills, coupled with strong written and verbal communication abilities, are crucial. Given the remote nature of this role, a self-starter attitude, excellent time management, and the ability to work independently are paramount.
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8
Principal Pharmaceutical Data Scientist
34567 Al Hidd, Muharraq
BHD130000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client, a prominent player in the pharmaceutical industry, is seeking a highly accomplished Principal Pharmaceutical Data Scientist to join their cutting-edge, fully remote R&D team. This senior role will drive the development and application of advanced analytical techniques to complex biological and clinical datasets. You will be responsible for extracting meaningful insights, building predictive models, and informing critical decisions in drug discovery, development, and commercialization. The ideal candidate is a thought leader with a profound understanding of statistical modeling, machine learning, and their application within the pharmaceutical landscape, possessing exceptional problem-solving skills and the ability to mentor junior scientists.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design and execution of complex data analysis projects, from data acquisition to insight generation.
- Develop and implement advanced statistical models and machine learning algorithms for drug discovery and development pipelines.
- Analyze large-scale omics data, clinical trial data, real-world evidence, and other relevant datasets.
- Collaborate closely with cross-functional teams, including biologists, chemists, clinicians, and regulatory affairs, to address scientific questions and business needs.
- Mentor and guide junior data scientists and analysts, fostering a culture of scientific rigor and innovation.
- Identify and evaluate new data science tools, technologies, and methodologies.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
- Contribute to the development of data governance strategies and best practices within the organization.
- Stay abreast of the latest scientific literature and advancements in pharmaceutical data science.
- Represent the data science function in scientific forums and discussions.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Bioinformatics, Computational Biology, or a related discipline.
- Minimum of 8 years of experience in data science, with a significant focus on the pharmaceutical or biotechnology industry.
- Proven expertise in statistical modeling, machine learning (e.g., regression, classification, clustering, deep learning), and programming languages (e.g., Python, R).
- Experience with large biological datasets (genomics, proteomics, etc.) and clinical trial data analysis.
- Strong understanding of pharmaceutical R&D processes and regulatory requirements.
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated ability to lead projects and mentor team members.
- Exceptional communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
- Proficiency in data visualization tools and techniques.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
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9