154 Clinical Studies jobs in Kenya
Geophysicist - Seismic Data Analysis
Posted today
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Key Responsibilities:
- Acquire, process, and interpret 2D and 3D seismic data for exploration and development projects.
- Utilize advanced geophysical software (e.g., Petrel, OpendTect) for data analysis and interpretation.
- Develop seismic interpretation workflows and quality control procedures.
- Integrate seismic data with other geological and engineering data (well logs, core data, production data).
- Identify and delineate potential hydrocarbon reservoirs and prospects.
- Perform seismic attribute analysis, velocity modeling, and seismic inversion.
- Collaborate with geologists and reservoir engineers to build integrated subsurface models.
- Prepare technical reports and presentations for management and joint venture partners.
- Provide geophysical support for drilling operations and well planning.
- Stay abreast of new geophysical technologies and methodologies.
Qualifications:
- Master's or Ph.D. degree in Geophysics, Geology, or a related Earth Science discipline.
- Minimum of 5 years of experience in geophysical exploration, with a focus on seismic data interpretation.
- Proficiency in seismic data processing and interpretation software.
- Strong understanding of seismic acquisition techniques and data quality assessment.
- Experience with basin analysis and structural geology.
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a multidisciplinary team environment.
- Strong written and verbal communication skills.
- Familiarity with Kenyan geological settings and basins is an advantage.
- Willingness to work on-site in Nakuru.
Join a company at the forefront of energy innovation and contribute to vital exploration efforts.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Responsibilities:
- Assist in the collection, cleaning, and organization of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior analysts on data-related projects.
- Learn and apply various data analysis techniques and tools.
- Contribute to maintaining data integrity and accuracy.
- Participate in team meetings and provide insights during discussions.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in at least one programming language (e.g., Python, R).
- Familiarity with SQL and database concepts.
- Basic understanding of data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving abilities and attention to detail.
- Strong communication and teamwork skills.
- Eagerness to learn and adapt in a remote work environment.
Remote Geologist - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and organization of data from various sources.
- Perform basic statistical analyses to identify trends, patterns, and anomalies.
- Help in the creation of data visualizations and reports to communicate findings.
- Support senior analysts in data-driven decision-making processes.
- Learn and apply data analysis tools and methodologies.
- Contribute to projects focused on improving data quality and accessibility.
- Participate in team meetings and brainstorming sessions.
- Develop foundational skills in data interpretation and business intelligence.
- Assist with ad-hoc data requests and analysis.
- Gain exposure to different business functions through data projects.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving abilities.
- Attention to detail and accuracy in data handling.
- Proficiency in Microsoft Excel.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) or statistical software (R, Python) is a plus.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team environment.
Graduate Trainee - Data Analysis
Posted 3 days ago
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Job Description
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and organizing datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends and patterns.
- Help create and maintain reports and interactive dashboards for business stakeholders.
- Support the development of data models and visualizations.
- Conduct quality assurance checks on data to ensure accuracy and integrity.
- Learn and apply various data analysis techniques and software.
- Collaborate with team members in a virtual environment to contribute to project goals.
- Assist in documenting data processes and findings.
- Participate in training sessions and team meetings to enhance skills and knowledge.
- Contribute to ad-hoc data analysis requests as needed.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Familiarity with data analysis tools and programming languages such as Python (Pandas, NumPy) or R is a plus.
- Knowledge of SQL for data retrieval and manipulation is advantageous.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail and commitment to data accuracy.
- Good communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Genuine interest in data analysis and its application in business.
Graduate Trainee - Data Analysis
Posted 4 days ago
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Remote Geologist - Data Analysis
Posted 4 days ago
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Graduate Trainee - Data Analysis
Posted 5 days ago
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Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis to identify trends, patterns, and anomalies.
- Create visualizations and reports to present findings to the team.
- Support senior data analysts with ad-hoc data requests.
- Learn and apply statistical methods and data modeling techniques.
- Contribute to maintaining data integrity and accuracy.
- Participate in team meetings and provide input on data-related projects.
Qualifications:
- Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with database concepts and SQL is a plus.
- Knowledge of Python or R is advantageous.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
Remote Research Scientist - Data Analysis
Posted today
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Job Description
Key Responsibilities:
- Design and conduct research studies, ensuring rigorous scientific methodology.
- Collect, clean, and process large and complex datasets from various sources.
- Apply statistical techniques and modeling to analyze data and identify trends.
- Develop and validate predictive models and algorithms.
- Interpret research findings and draw conclusions to support scientific objectives.
- Prepare detailed research reports, scientific publications, and presentations.
- Collaborate with cross-functional teams, including biologists, chemists, and engineers.
- Stay abreast of the latest advancements in scientific research and data analysis techniques.
- Contribute to the development of new research protocols and methodologies.
- Ensure the integrity and reproducibility of research data.
- Present findings to internal stakeholders and potentially external scientific communities.
Qualifications:
- Ph.D. or Master's degree in a relevant scientific field (e.g., Statistics, Mathematics, Computer Science, Physics, Biology) with a focus on data analysis.
- Proven experience in scientific research and data analysis.
- Expertise in statistical software packages (e.g., R, SAS, SPSS) and programming languages (e.g., Python, MATLAB).
- Strong understanding of experimental design and research methodologies.
- Excellent analytical, critical thinking, and problem-solving skills.
- Ability to interpret complex data and communicate findings clearly and concisely.
- Experience with data visualization tools.
- Demonstrated ability to work independently and as part of a remote team.
- Strong written and verbal communication skills, with a track record of scientific publications or presentations.