What Data Team Jobs are in Nigeria?

• Interpret 2D and 3D seismic data to identify and map geological structures, faults, horizons, and potential reservoir units.
• Perform velocity analysis, attribute analysis, and other geophysical studies to enhance data clarity and prospect definition.
• Integrate seismic interpretations with well log data, core data, and other geological information to build robust subsurface models.
• Generate detailed maps, cross-sections, and reports that clearly communicate geophysical interpretations and prospect evaluations.
• Collaborate effectively with geologists, reservoir engineers, and drilling teams to integrate geophysical insights into exploration and development strategies.
• Utilize advanced seismic interpretation software (e.g., Petrel, Kingdom, Geographix) to conduct analyses.
• Participate in peer reviews of seismic interpretations and prospect evaluations.
• Stay updated on the latest geophysical technologies and methodologies.

• Bachelor's degree in Geophysics, Geology, or a related Earth Science field. A Master's degree is preferred.
• Minimum of 6 years of experience in seismic data interpretation within the Oil & Gas industry.
• Proven proficiency with industry-standard seismic interpretation software packages.
• Strong understanding of seismic data processing workflows and principles.
• Solid knowledge of structural geology, stratigraphy, and sedimentology as they relate to hydrocarbon exploration.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills, with the ability to articulate complex geophysical concepts to multidisciplinary teams.
• Experience working with Nigerian geological settings is a plus.
• Must be authorized to work in Ibadan, Oyo .

• Competitive salary commensurate with experience.
• Comprehensive health, dental, and vision insurance plans.
• Performance-based bonuses.
• Opportunities for professional development and continuing education.
• Retirement savings plan.
• A flexible hybrid work environment that balances office collaboration and personal flexibility.
• Exposure to diverse geological provinces and challenging exploration projects.
• A collaborative and supportive team culture focused on technical excellence.

• Accurately inputting data into company databases and systems.
• Verifying the accuracy and completeness of entered data.
• Organizing and maintaining digital and physical records.
• Generating basic reports from the data entered.
• Assisting with data cleaning and validation processes.
• Identifying and correcting data discrepancies.
• Supporting the finance team with ad-hoc data-related tasks.
• Ensuring data confidentiality and security protocols are followed.
• Performing routine data quality checks.
• Scanning and filing important documents.

• High school diploma or equivalent qualification.
• Proficiency in typing and data entry with a high degree of accuracy.
• Basic knowledge of Microsoft Excel or similar spreadsheet software.
• Good organizational skills and attention to detail.
• Ability to follow instructions and work with minimal supervision.
• Strong work ethic and commitment to data integrity.
• Good communication skills.
• Must be able to work from our office premises in **Ado-Ekiti, Ekiti, NG**.
• Prior experience in data entry is a plus but not required.

• On-the-job training in data management best practices.
• Exposure to the financial services industry.
• Opportunity to develop valuable data analysis skills.
• Work in a professional office environment in **Ado-Ekiti, Ekiti, NG**.
• Gain practical experience in data handling and reporting.
• Mentorship from experienced professionals in the finance sector.

• Interpret 2D, 3D, and 4D seismic data to identify geological structures and potential hydrocarbon traps.
• Perform seismic attribute analysis to enhance reservoir characterization and predict lithology and fluid content.
• Conduct AVO analysis and inversion studies to assess reservoir properties.
• Integrate seismic data with well logs, core data, and other geological information.
• Collaborate with geologists, geophysicists, and reservoir engineers to build integrated subsurface models.
• Contribute to exploration strategy and prospect risking.
• Prepare detailed geophysical reports and present findings to technical teams and management.
• Ensure quality control and assurance of seismic interpretations and workflows.
• Stay updated with the latest advancements in geophysical software and methodologies.

• Master's degree or PhD in Geophysics, Earth Sciences, or a related field.
• Minimum of 7 years of experience in seismic data interpretation and analysis, preferably within the Oil & Gas industry.
• Proficiency in industry-standard seismic interpretation software (e.g., Petrel, Kingdom Suite, HampsonRussell).
• Strong understanding of seismic processing principles and their impact on interpretation.
• Demonstrated experience in AVO analysis, seismic attribute analysis, and inversion techniques.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a remote team environment.
• Strong written and verbal communication skills.
• Familiarity with geological concepts and reservoir engineering principles is a plus.

• Oversee and execute advanced seismic data processing workflows, including pre-stack time/depth migration and attribute analysis.
• Interpret 2D and 3D seismic data to delineate geological structures, identify potential reservoirs, and assess hydrocarbon prospectivity.
• Conduct quality control on seismic data, ensuring accuracy and reliability throughout the processing and interpretation phases.
• Integrate seismic data with well logs, core data, and other geological information to build comprehensive subsurface models.
• Collaborate with geologists and reservoir engineers to refine exploration targets and provide geophysical support for field development planning.
• Utilize state-of-the-art geophysical software (e.g., Petrel, Hampson-Russell, OpendTect) for analysis and interpretation.
• Prepare detailed technical reports, presentations, and geophysical assessments for management and project teams.
• Mentor junior geophysicists and contribute to the team's technical expertise and knowledge sharing.

• Master's degree in Geophysics, Physics, or a related Earth Science discipline.
• Minimum of 8 years of experience in geophysical exploration, with a strong emphasis on data processing and interpretation in the Oil & Gas industry.
• Proven expertise with industry-standard seismic processing and interpretation software.
• Deep understanding of seismic wave propagation, acquisition parameters, and processing algorithms.
• Strong background in structural geology and stratigraphy as they apply to hydrocarbon exploration.
• Excellent analytical, problem-solving, and critical thinking capabilities.
• Effective communication and presentation skills, capable of explaining complex geophysical concepts to multidisciplinary audiences.
• Experience with Nigerian geological settings is highly advantageous.
• Must be authorized to work in Aba, Abia .

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development, including specialized training and conference attendance.
• Retirement savings plan.
• Flexible hybrid work model to support work-life balance.
• Exposure to diverse geological plays and challenging exploration projects.
• A collaborative environment fostering technical innovation and career growth.

• Analyze and interpret large-scale genomic and transcriptomic data (e.g., WGS, WES, RNA-Seq).
• Develop, implement, and optimize bioinformatics pipelines and algorithms for data processing, quality control, and variant calling.
• Collaborate with research scientists and clinicians to define research questions and design computational experiments.
• Perform statistical analysis and visualization of biological data to identify significant findings and generate hypotheses.
• Contribute to the development of novel computational methods for gene expression analysis, pathway analysis, and functional genomics.
• Manage and maintain biological databases and computational resources.
• Stay current with the latest advancements in bioinformatics, genomics, and related fields.
• Document research methodologies, results, and code.
• Present findings at internal meetings and external scientific conferences.
• Mentor junior bioinformaticians and contribute to team knowledge sharing.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, Statistics, or a related field.
• Proven experience in analyzing next-generation sequencing (NGS) data.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries and tools (e.g., Bioconductor, Samtools, GATK).
• Strong understanding of molecular biology, genetics, and genomics.
• Experience with statistical analysis and data visualization techniques.
• Familiarity with Linux/Unix operating systems and high-performance computing environments.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex technical concepts to non-experts.
• Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
• Prior experience in cancer genomics or infectious disease research is desirable.

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and parental leave.
• Opportunities for professional development and continuing education.
• Access to state-of-the-art laboratory and computational facilities.
• Collaborative and innovative research environment.
• Retirement savings plan.
• Relocation assistance may be available.
• Flexible working arrangements within the hybrid model.
• Employee stock purchase plan.

Our client, a rapidly expanding pharmaceutical research company dedicated to advancing precision oncology, is seeking a highly accomplished Senior Genomics Data Scientist to join its cutting-edge research division. This role, based remotely but requiring engagement with teams globally, will focus on leveraging vast genomic datasets to uncover new therapeutic avenues and biomarkers for various cancers. You will be at the nexus of genomics, statistics, and machine learning, developing sophisticated analytical models that drive critical research decisions. This position offers the chance to work on impactful, real-world problems, contributing directly to the development of life-saving treatments. The ideal candidate possesses a strong analytical mindset, exceptional programming skills, and a deep understanding of cancer genomics. This is an exciting opportunity to influence the direction of cancer research from a remote setting.

• Analyze and interpret large-scale genomic datasets (e.g., whole-genome sequencing, exome sequencing, methylation arrays) to identify clinically relevant mutations, gene expression patterns, and other genomic features.
• Develop and implement advanced statistical models and machine learning algorithms for biomarker discovery, patient stratification, and treatment response prediction.
• Design and execute computational experiments to test hypotheses related to cancer biology and drug efficacy.
• Collaborate with bioinformaticians, molecular biologists, oncologists, and clinical researchers to translate genomic findings into actionable insights.
• Develop and maintain robust, reproducible, and well-documented code for data analysis and modeling.
• Present complex analytical results to both technical and non-technical audiences through reports and presentations.
• Contribute to the development of the company's data science strategy and the selection of appropriate analytical tools and technologies.
• Stay current with the latest research and methodologies in genomics, cancer biology, and data science.

• PhD or equivalent in Genetics, Genomics, Bioinformatics, Data Science, Statistics, Computer Science, or a related quantitative field.
• A minimum of 5 years of relevant post-doctoral or industry experience focusing on genomic data analysis.
• Demonstrated experience in analyzing various types of genomic data, including NGS, WGS, WES, and array-based data.
• Proficiency in programming languages such as Python or R, and experience with data manipulation, statistical analysis, and machine learning libraries.
• Solid understanding of statistical principles and machine learning techniques relevant to genomics.
• Experience with bioinformatics tools and databases (e.g., TCGA, ICGC, Ensembl, dbSNP).
• Familiarity with cloud computing environments (e.g., AWS, GCP) and big data technologies is advantageous.
• Strong scientific curiosity and a passion for solving complex biological problems.
• Excellent analytical, problem-solving, and communication skills.

Our client is committed to offering a comprehensive and competitive benefits package to its remote workforce. This includes a highly attractive salary and performance-based incentives. We provide premium health, dental, and vision insurance plans, accessible to remote employees. Generous paid time off and flexible work arrangements are standard. Our client supports continuous professional development, offering allowances for online courses, certifications, and virtual conferences. Employees have access to a wide range of online resources and collaborative tools. A strong emphasis is placed on employee well-being and fostering a supportive virtual community. Opportunities for career advancement within a global, innovative organization are significant. Join us in making a difference from anywhere.

• Lead and mentor a team of bioinformaticians in the analysis of genomic and NGS data.
• Develop, implement, and optimize robust bioinformatics pipelines for various applications (e.g., variant calling, RNA-seq analysis, de novo assembly).
• Perform in-depth analysis and interpretation of complex genomic datasets.
• Collaborate with molecular biologists, geneticists, and other scientists to address research questions.
• Ensure data integrity, quality control, and efficient data management.
• Stay current with the latest advancements in bioinformatics tools, algorithms, and technologies.
• Present findings to scientific audiences and contribute to publications and grant proposals.
• Manage project timelines, resources, and priorities effectively.
• Contribute to the strategic development of the bioinformatics core facility.
• Maintain documentation of analytical methods and pipelines.

• PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in bioinformatics, with a significant focus on genomics and NGS data analysis.
• Proven experience in leading and managing a team of scientists.
• Strong programming skills in languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries.
• Expertise in using command-line interfaces and high-performance computing environments.
• Familiarity with common genomic data formats (e.g., FASTQ, BAM, VCF).
• Demonstrated ability to design and implement complex analytical workflows.
• Excellent communication, presentation, and problem-solving skills.
• Experience working in a hybrid or remote setting is advantageous.
• Must be able to work effectively within the **Abeokuta, Ogun, NG** team structure.

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plan with employer matching.
• Generous paid time off, including vacation, sick leave, and holidays.
• Opportunities for professional development, conference attendance, and skill enhancement.
• Access to advanced computing infrastructure and cutting-edge bioinformatics tools in **Abeokuta**.
• A collaborative and stimulating research environment.
• Flexible work arrangements through a hybrid model.
• Support for work-life balance.
• Contribution to impactful genomic research projects.

• Conduct advanced data analysis and statistical modeling to identify patterns and trends relevant to AI research.
• Develop, train, and evaluate machine learning and deep learning models for various AI tasks.
• Design and implement experiments to test hypotheses and validate model performance.
• Clean, preprocess, and transform large, complex datasets to prepare them for modeling.
• Collaborate with AI engineers and domain experts to integrate models into practical applications.
• Visualize and communicate complex findings and insights to both technical and non-technical audiences.
• Stay current with the latest research and developments in data science, machine learning, and artificial intelligence.
• Contribute to the design and architecture of AI systems and platforms.
• Develop and maintain data pipelines and analytical workflows.
• Document methodologies, code, and results thoroughly.
• Participate actively in team meetings and contribute to a culture of knowledge sharing within our **Akure, Ondo, NG** office.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of AI/ML projects.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
• Solid understanding of statistical methods, machine learning algorithms, and deep learning architectures.
• Experience with data visualization tools and techniques.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and as part of a team in a **fully on-site** capacity in **Akure, Ondo, NG**.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud computing platforms is advantageous.

• Competitive annual salary of NGN.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off, including vacation and sick leave.
• Opportunities for professional development, training, and conference attendance.
• Access to state-of-the-art research facilities and computing resources.
• A stimulating and collaborative work environment in **Akure, Ondo, NG**.
• Retirement savings plan.
• Company-sponsored social events and team-building activities.
• Career advancement opportunities within a growing AI firm.
• The chance to work on truly innovative and impactful AI projects.