48 Healthcare Data jobs in Bahrain
Senior Healthcare Data Scientist - Social Care Focus
Posted 1 day ago
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Key Responsibilities include:
- Developing and implementing predictive models to identify individuals at risk and to forecast demand for social care services.
- Analyzing large, diverse datasets including electronic health records, social service data, and demographic information.
- Designing and executing A/B tests and other experiments to evaluate the effectiveness of interventions and programs.
- Collaborating with healthcare professionals, social workers, policymakers, and community leaders to understand needs and translate them into data-driven solutions.
- Creating compelling data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
- Identifying opportunities for data integration and ensuring data quality and integrity across various sources.
- Mentoring junior data scientists and contributing to the development of best practices in healthcare analytics.
- Staying informed about the latest advancements in data science, machine learning, and their applications in public health and social care.
- Ensuring all data handling and analysis complies with relevant privacy regulations (e.g., HIPAA).
The ideal candidate will hold an advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, Public Health, or a related quantitative field. You should have significant experience in applying data science techniques to healthcare or social services data, with a proven ability to deliver impactful results. Proficiency in programming languages such as Python or R, experience with SQL databases, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) are essential. Strong communication, collaboration, and problem-solving skills are crucial for this remote role. Join our client and make a tangible difference in community well-being from your remote location, contributing to vital initiatives impacting **Tubli, Capital, BH**.
Lead Data Scientist - Healthcare Analytics
Posted 7 days ago
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Senior Data Analyst - Financial Risk Management
Posted 7 days ago
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Responsibilities:
- Develop, test, and validate sophisticated statistical and machine learning models for financial risk assessment.
- Extract, clean, and transform large datasets from various internal and external sources.
- Perform in-depth data analysis to identify trends, patterns, and potential risk exposures.
- Design and generate insightful reports and dashboards for senior management and regulatory bodies.
- Collaborate with business stakeholders to understand their data needs and translate them into analytical solutions.
- Stay abreast of industry best practices, emerging analytical techniques, and regulatory changes impacting financial risk management.
- Automate data processes and reporting mechanisms to improve efficiency and accuracy.
- Provide expert guidance and mentorship to junior analysts.
- Document methodologies, assumptions, and results of analytical projects.
- Contribute to the enhancement of the firm's risk management framework and data governance policies.
- Master's degree or Ph.D. in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, preferably within the banking or financial services industry.
- Proven expertise in statistical modeling, predictive analytics, and machine learning algorithms.
- Strong proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
- Solid understanding of financial instruments, markets, and regulatory frameworks (e.g., Basel Accords).
- Excellent problem-solving skills and the ability to interpret complex data into actionable insights.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Experience working in a remote, collaborative team environment.
- Ability to manage multiple projects simultaneously and deliver results under pressure.
Graduate Trainee - Data Analysis
Posted today
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Graduate Trainee - Data Analysis
Posted 4 days ago
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Remote Geologist - Data Analysis
Posted 10 days ago
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Graduate Trainee - Data Analysis
Posted 13 days ago
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Job Description
Key Responsibilities:
- Assist senior analysts in collecting, cleaning, and processing large datasets.
- Perform basic data analysis and generate reports using analytical software.
- Identify trends, patterns, and insights within data to support business objectives.
- Create visualizations and dashboards to present findings effectively.
- Participate in team meetings and contribute to project discussions.
- Learn and apply various data analysis methodologies and tools.
- Assist in developing documentation for data processes and analytical models.
- Support the testing and validation of data solutions.
- Gain exposure to different business functions and understand their data needs.
- Contribute to ad-hoc data analysis requests as needed.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of data analysis concepts and statistical principles.
- Familiarity with programming languages like Python or R is a plus.
- Excellent written and verbal communication skills.
- Ability to work effectively in a team and adapt to a hybrid work environment.
- Eagerness to learn and develop new skills in data analysis.
- Strong attention to detail and accuracy.
This intern position in **Budaiya, Northern, BH** is a stepping stone to a rewarding career in data.
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Graduate Apprentice - Data Analysis
Posted 15 days ago
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Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports and dashboards to visualize key insights.
- Support senior analysts in statistical modeling and hypothesis testing.
- Learn and apply various data analysis tools and techniques, including SQL, Python/R, and BI tools.
- Document methodologies, findings, and results clearly and concisely.
- Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
- Contribute to ad-hoc data analysis requests as needed.
- Continuously learn and develop new skills in data science and analytics.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong understanding of statistical concepts and analytical principles.
- Familiarity with programming languages like Python or R is a significant advantage.
- Basic knowledge of SQL for data extraction and manipulation.
- Proficiency in Microsoft Excel for data analysis.
- Excellent attention to detail and a methodical approach to problem-solving.
- Strong written and verbal communication skills, suitable for a remote work environment.
- Eagerness to learn and a proactive attitude towards skill development.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for data and a desire to build a career in data analysis.
Graduate Trainee - Data Analysis
Posted 15 days ago
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Key responsibilities include assisting senior analysts in collecting, cleaning, and organizing large datasets from various sources. You will perform basic data analysis, identify trends, and generate reports to support decision-making. This involves using statistical software and tools to explore data patterns and draw meaningful conclusions. You will also contribute to the development of data visualizations, creating charts, graphs, and dashboards to effectively communicate findings to stakeholders. Learning and applying new data analysis methodologies and technologies will be a core part of your training. Collaborating with cross-functional teams to understand their data needs and providing analytical support will also be expected. You will help in documenting data processes and findings, ensuring accuracy and reproducibility. The opportunity to gain exposure to different analytical tools and techniques, such as SQL, Python, R, and BI platforms, will be provided. This role is designed to foster professional growth and provide a solid foundation for a career in data science or analytics.
We are looking for candidates who have recently graduated or are in their final year of study with a strong academic background in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related discipline. A solid understanding of statistical concepts and analytical principles is required. Proficiency in Microsoft Excel is essential. Familiarity with programming languages like Python or R, and database query languages like SQL, is a significant advantage. Excellent problem-solving skills, attention to detail, and a logical approach to tasks are crucial. Strong written and verbal communication skills are necessary for presenting findings and collaborating with team members. A proactive attitude, a willingness to learn, and a genuine interest in data analysis are highly valued. This is a full-time internship position. This role is based in Saar, Northern, BH .
Graduate Trainee - Data Analysis
Posted 15 days ago
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Program highlights include:
- Intensive training in data analysis tools and methodologies.
- Hands-on experience with data cleaning, transformation, and preparation.
- Exposure to statistical analysis and modeling techniques.
- Learning to create compelling data visualizations and reports.
- Working on actual business projects to solve real-world problems.
- Mentorship from senior data analysts and team leads.
- Development of essential business acumen and professional skills.
- Opportunities for networking with industry professionals.
- Understanding of data governance and best practices.
- Potential for full-time employment upon successful completion of the program.
Candidates should possess a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong academic record and demonstrated analytical and problem-solving skills are essential. Proficiency in Excel and a basic understanding of programming languages like Python or R are advantageous. Excellent communication skills and a willingness to learn and adapt are paramount. This is an on-site role located in Muharraq, Muharraq, BH , offering a foundational experience for aspiring data professionals.