Senior Geologist (Remote Data Analysis)
80200 Nairobi, Nairobi
KES700000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a leading entity in the mining sector, is seeking an experienced Senior Geologist specializing in remote data analysis. This position is entirely remote, offering a unique opportunity to contribute your expertise from your home office. You will be responsible for analyzing geological data, interpreting subsurface conditions, and providing critical insights to support exploration, resource estimation, and mine planning activities. Your role will involve utilizing advanced software and methodologies to process and present geological information effectively.
Responsibilities:
Qualifications:
This is an exciting remote opportunity for a skilled geologist to make a significant contribution to mining operations and exploration efforts in the **Malindi, Kilifi, KE** region.
Responsibilities:
- Analyze geological data from various sources, including boreholes, geophysical surveys, and surface mapping.
- Interpret subsurface geological structures, lithology, and mineralization.
- Develop and maintain 3D geological models using specialized software (e.g., Leapfrog, Micromine, Vulcan).
- Estimate mineral resources and reserves, adhering to industry standards (e.g., JORC, NI 43-101).
- Collaborate with exploration and mine engineering teams to optimize drilling programs and sampling strategies.
- Prepare technical reports, geological assessments, and presentations for internal and external stakeholders.
- Evaluate the geological potential of prospective exploration areas.
- Monitor and interpret exploration data to identify targets for further investigation.
- Assist in the development of mine plans and production forecasts based on geological models.
- Ensure the quality and integrity of geological data through rigorous validation processes.
- Stay updated on the latest advancements in geological software, techniques, and industry best practices.
- Provide geological input for environmental impact assessments and permitting processes.
- Mentor junior geologists and contribute to team knowledge sharing.
- Conduct remote site visits or virtual site reviews when required.
- Contribute to the company's understanding of regional geology and mineral systems.
Qualifications:
- Bachelor's or Master's degree in Geology, Earth Sciences, or a related field.
- Minimum of 7 years of experience in exploration or mining geology.
- Proven expertise in geological data analysis, interpretation, and modeling.
- Proficiency with industry-standard geological modeling software (e.g., Leapfrog Geo, Vulcan, Micromine).
- Strong understanding of resource estimation methodologies and reporting codes.
- Experience with geophysical data interpretation and integration.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey complex geological concepts clearly.
- Ability to work independently and manage time effectively in a remote setting.
- Familiarity with GIS software (e.g., ArcGIS, QGIS) is a plus.
- Experience in project management or leading geological projects.
- Knowledge of mineral processing and extraction techniques is advantageous.
- A valid driver's license and willingness to travel occasionally for site reviews.
This is an exciting remote opportunity for a skilled geologist to make a significant contribution to mining operations and exploration efforts in the **Malindi, Kilifi, KE** region.
This advertiser has chosen not to accept applicants from your region.
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Senior Bioinformatics Scientist, Genomics Data Analysis
80100 Nairobi, Nairobi
KES320000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is a cutting-edge life sciences research institution seeking a highly accomplished Senior Bioinformatics Scientist to lead complex genomics data analysis projects. This fully remote position offers an exciting opportunity to contribute to groundbreaking scientific discoveries using advanced computational tools and methodologies. You will be responsible for designing and implementing bioinformatics pipelines, analyzing large-scale genomic datasets (e.g., WGS, WES, RNA-Seq), and interpreting results to support research objectives. Key responsibilities include developing novel algorithms, establishing data quality control procedures, and visualizing complex biological data. The ideal candidate will possess a deep understanding of molecular biology, genetics, and statistical genomics, coupled with strong programming skills in languages such as Python, R, and Perl. Experience with high-performance computing environments and cloud platforms (AWS, GCP, Azure) is essential. You will collaborate closely with biologists, clinicians, and other researchers, providing expertise in data analysis and interpretation. This role demands exceptional analytical and problem-solving skills, with the ability to identify and address complex bioinformatics challenges. Strong communication and presentation skills are crucial for disseminating research findings to both scientific and non-scientific audiences. A proven track record in publishing peer-reviewed articles and contributing to grant proposals is highly desirable. You will also be involved in mentoring junior scientists and contributing to the development of bioinformatics infrastructure. This position offers a unique opportunity to make a significant impact on scientific advancement within a dynamic, remote-first research environment. Your passion for data-driven discovery and commitment to scientific rigor will be key to your success.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for genomics data analysis.
- Analyze large-scale genomic datasets, including whole genome, exome, and RNA sequencing data.
- Perform statistical analysis and interpretation of biological data.
- Develop and apply machine learning algorithms for biological insights.
- Ensure data quality control and integrity throughout the analysis process.
- Collaborate with experimental biologists and clinicians on research projects.
- Visualize complex biological data for effective communication of results.
- Contribute to the development of new analytical methods and tools.
- Mentor junior bioinformaticians and research staff.
- Prepare manuscripts for publication and present findings at scientific conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics.
- Extensive experience with genomics data analysis (WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, and Perl.
- Strong understanding of statistical methods and machine learning in biology.
- Experience with high-performance computing (HPC) and cloud environments.
- Knowledge of molecular biology and genetics principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work independently and lead research initiatives in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Data Analyst - Business Intelligence
80100 Nairobi, Nairobi
KES80000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and detail-oriented Remote Junior Data Analyst to join their growing business intelligence team. This is an excellent opportunity for a recent graduate or early-career professional to gain hands-on experience in data analysis, reporting, and visualization. You will be responsible for collecting, cleaning, analyzing, and interpreting data to provide insights that support business decision-making. The ideal candidate is eager to learn, possesses strong analytical skills, and has a foundational understanding of data analysis tools and techniques.
Key responsibilities include:
Key responsibilities include:
- Assisting in the collection and organization of data from various sources.
- Performing data cleaning and preprocessing to ensure data accuracy and integrity.
- Conducting basic data analysis using statistical methods and tools.
- Creating reports and dashboards to visualize data and present findings.
- Identifying trends, patterns, and anomalies in data sets.
- Collaborating with senior analysts and business stakeholders to understand data needs.
- Supporting the development and maintenance of business intelligence solutions.
- Documenting data analysis processes and methodologies.
- Participating in team meetings and contributing to analytical projects.
- Learning and applying new data analysis techniques and tools.
This advertiser has chosen not to accept applicants from your region.
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