2,291 Senior Research Scientist Climate Modeling jobs in Kenya
Senior Research Scientist - Climate Modeling
Posted 8 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior Research Scientist to join their cutting-edge climate modeling team. This fully remote position offers a unique opportunity to contribute to critical research that addresses some of the most pressing environmental challenges facing our planet. You will be instrumental in developing, validating, and applying advanced climate models to predict future climate scenarios and assess their impacts. Responsibilities include designing and executing complex simulation experiments, analyzing large datasets, interpreting model outputs, and contributing to peer-reviewed publications and scientific reports. You will also collaborate with a diverse, international team of scientists, engineers, and policymakers, fostering a dynamic and intellectually stimulating remote work environment. This role requires a deep understanding of atmospheric science, oceanography, or related geophysical sciences, coupled with strong computational skills. Experience with high-performance computing environments and proficiency in programming languages such as Python, R, or Fortran are essential. The ideal candidate will have a proven track record of independent research, excellent problem-solving abilities, and exceptional communication skills. A Ph.D. in a relevant scientific field is strongly preferred, along with at least five years of post-doctoral or industry research experience. This is a fully remote role, allowing you to work from anywhere within your established time zone, with a primary focus on scientific integrity and impactful research output. The team utilizes collaborative platforms extensively to ensure seamless communication and project progress. Opportunities for professional development and presenting research at international conferences are available. We are looking for a proactive individual who can thrive in a self-directed, remote setting and contribute innovative ideas to our ongoing research initiatives in **Garissa**. This is an exciting chance to make a significant contribution to climate science from the comfort of your home office. The successful candidate will be expected to lead specific research projects, mentor junior scientists, and contribute to grant writing efforts.
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Lead Data Scientist - Climate Modeling
Posted 5 days ago
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Our client, a cutting-edge research institution, is looking for a brilliant and highly motivated Lead Data Scientist to spearhead their climate modeling initiatives. This is a fully remote role, offering an unparalleled opportunity to work on impactful environmental research from anywhere. You will lead a team of data scientists and researchers, focusing on developing, validating, and deploying advanced statistical and machine learning models to understand and predict climate patterns. Your work will involve extensive data wrangling, feature engineering, and sophisticated analytical techniques using large, complex datasets. We are seeking an individual with a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, or a related discipline, coupled with substantial experience in climate science or environmental modeling. The ideal candidate will possess a strong foundation in Python or R, proficiency with data science libraries (e.g., TensorFlow, PyTorch, scikit-learn), and experience with big data technologies (e.g., Spark, Hadoop). Responsibilities include designing research methodologies, interpreting complex model outputs, publishing findings in peer-reviewed journals, and presenting results to diverse audiences. You will also be responsible for mentoring junior team members, contributing to grant proposals, and staying abreast of the latest advancements in climate science and data analytics. This role requires exceptional problem-solving skills, excellent communication abilities, and the capacity to work independently in a remote setting. The successful candidate will play a crucial role in advancing our understanding of climate change. Although the team is based in **Malindi, Kilifi, KE**, this position is entirely remote.
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Principal Research Scientist - Climate Modeling
Posted today
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Job Description
Our client is seeking an accomplished and visionary Principal Research Scientist to lead cutting-edge research in climate modeling. This senior role involves developing and applying advanced computational models to understand and predict climate change impacts. The scientist will be responsible for designing research projects, securing funding, mentoring junior researchers, and publishing findings in high-impact peer-reviewed journals. A strong background in atmospheric science, climate dynamics, computational physics, or a related quantitative field is essential, coupled with extensive experience in developing, validating, and utilizing complex climate models. The candidate must possess exceptional analytical and problem-solving skills, proficiency in high-performance computing environments, and a proven ability to lead scientific initiatives. Collaboration with interdisciplinary teams and stakeholders will be a key aspect of the role, requiring excellent communication and leadership qualities. The successful applicant will contribute significantly to the global understanding of climate systems and inform policy decisions through robust scientific evidence.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of novel climate models and associated methodologies.
- Conduct advanced research on climate system processes, variability, and long-term change, focusing on regional and global scales.
- Analyze and interpret complex model outputs and observational data to derive meaningful scientific insights.
- Oversee the validation and improvement of existing climate models, ensuring scientific rigor and accuracy.
- Secure research funding through competitive grant proposals from national and international agencies.
- Mentor and supervise a team of postdoctoral researchers and graduate students, fostering a collaborative and productive research environment.
- Publish research findings in leading scientific journals and present at international conferences.
- Collaborate with national and international research institutions, government agencies, and industry partners on climate-related projects.
- Contribute to interdisciplinary research initiatives addressing the societal impacts of climate change.
- Stay at the forefront of scientific advancements in climate science, computational modeling, and relevant fields.
- Ph.D. in Atmospheric Science, Climate Science, Physics, Geosciences, Computer Science, or a closely related field.
- A minimum of 10 years of post-doctoral research experience in climate modeling or a related area.
- Demonstrated expertise in developing, modifying, and running sophisticated climate models (e.g., GCMs, RCMs, Earth System Models).
- Strong programming skills (e.g., Fortran, C++, Python) and experience with high-performance computing (HPC) environments.
- Proven track record of obtaining research grants and leading successful research projects.
- Excellent publication record in high-impact, peer-reviewed journals.
- Exceptional analytical, quantitative, and problem-solving abilities.
- Strong leadership, mentoring, and team-building skills.
- Outstanding written and oral communication skills, with the ability to articulate complex scientific concepts to diverse audiences.
- Experience with data analysis and visualization tools.
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Principal Data Scientist - Climate Change Modeling
Posted 16 days ago
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Our client is actively seeking a highly accomplished Principal Data Scientist to lead cutting-edge research and development initiatives focused on climate change modeling. This is a fully remote position, offering the opportunity to contribute to critical global research from anywhere. You will be responsible for designing, developing, and deploying sophisticated machine learning models and statistical analyses to understand and predict climate patterns, impacts, and mitigation strategies. Your work will involve processing and analyzing large, complex environmental datasets, collaborating with domain experts, and translating scientific insights into actionable recommendations. Key responsibilities include leading the development of predictive models for climate phenomena, designing experiments to test hypotheses, performing rigorous statistical analysis, and communicating complex findings to both technical and non-technical audiences. You will mentor junior data scientists, stay abreast of the latest advancements in AI and environmental science, and contribute to publications and presentations. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics, Environmental Science) with a strong specialization in data science and machine learning. Proven experience in climate modeling, atmospheric science, or related fields is essential. Expertise in programming languages like Python or R, along with extensive experience with data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data technologies (e.g., Spark), is required. This role demands exceptional analytical, critical thinking, and communication skills, suitable for a fully remote, research-intensive environment. We are looking for a visionary leader to drive impactful research from **Garissa**'s unique environmental perspective and beyond.
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Principal AI Research Scientist - Climate Modeling
Posted 16 days ago
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Job Description
Our client is a leading innovation hub focused on leveraging advanced scientific research to address global challenges. We are seeking a distinguished Principal AI Research Scientist to join our dynamic team in Naivasha, Nakuru, KE . This role is integral to our groundbreaking work in climate science, where you will spearhead the development and implementation of novel Artificial Intelligence and Machine Learning models to enhance climate prediction and atmospheric modeling accuracy. You will delve into complex environmental datasets, including satellite imagery, sensor networks, and historical climate records, to build sophisticated predictive algorithms. Your responsibilities will include designing research methodologies, conducting rigorous experiments, and publishing findings in top-tier scientific journals. You will also guide junior researchers, foster a collaborative research environment, and present your work to diverse audiences, including academic peers, industry partners, and policymakers. The ideal candidate possesses a Ph.D. in Computer Science, Physics, Environmental Science, or a closely related quantitative field, with a substantial track record in AI/ML research, particularly applied to complex systems like climate or atmospheric science. Experience with deep learning frameworks (TensorFlow, PyTorch), large-scale data processing, and scientific computing environments is essential. You will work closely with domain experts in meteorology, oceanography, and atmospheric physics to translate scientific questions into solvable AI problems and validate model outputs against real-world observations. This is an unparalleled opportunity to make a tangible impact on our understanding of climate change and contribute to developing data-driven solutions for a sustainable future.
Key Responsibilities:
Key Responsibilities:
- Lead research initiatives in AI/ML for climate modeling and prediction.
- Develop and implement advanced machine learning algorithms for atmospheric and environmental data analysis.
- Design and conduct experiments to validate AI model performance and accuracy.
- Collaborate with climate scientists and domain experts to define research questions and objectives.
- Publish research findings in leading peer-reviewed journals and present at international conferences.
- Mentor and guide junior research staff and post-doctoral fellows.
- Contribute to the strategic planning of the research department and identify new research avenues.
- Manage large, complex datasets and ensure data integrity and reproducibility.
- Stay at the forefront of AI research and its applications in climate science.
- Ph.D. in Computer Science, Applied Mathematics, Physics, Environmental Science, or a related quantitative field.
- 5+ years of post-doctoral or industry research experience in AI/ML.
- Proven expertise in deep learning, neural networks, and statistical modeling.
- Demonstrated experience applying AI/ML to scientific domains, preferably climate science, atmospheric physics, or environmental modeling.
- Proficiency with Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with scientific computing environments and large-scale data processing.
- Strong publication record in reputable venues.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation abilities.
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Lead Scientific Data Analyst - Genomics
Posted 8 days ago
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Job Description
Our client, a cutting-edge research and development organization focused on molecular biology and genomics, is searching for a highly skilled and innovative Lead Scientific Data Analyst. This is a fully remote position, enabling you to contribute your expertise from any location. You will spearhead the analysis of complex genomic datasets, driving novel discoveries and contributing to groundbreaking research projects. This role requires a deep understanding of bioinformatics, statistical analysis, and computational biology.
Key Responsibilities:
Qualifications include a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field. A minimum of 6 years of experience in analyzing large-scale biological datasets, with a significant focus on genomics, is essential. Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and libraries (e.g., Bioconductor, GATK, Samtools) are required. Demonstrated experience with statistical modeling, machine learning, and data visualization techniques is critical. Excellent understanding of genomics principles, molecular biology, and relevant experimental techniques is a must. Strong problem-solving abilities and the capacity to work independently in a remote, fast-paced research environment are necessary. Experience with cloud computing platforms (AWS, GCP, Azure) for data analysis is a significant advantage. If you are passionate about leveraging data to unlock the secrets of the genome and are seeking an impactful remote role, we invite you to apply.
Key Responsibilities:
- Lead the design and execution of complex genomic data analysis pipelines, including next-generation sequencing (NGS) data.
- Develop and implement advanced statistical models and machine learning algorithms to interpret biological data and identify significant patterns.
- Collaborate closely with research scientists, bioinformaticians, and other data analysts to define research questions and analytical strategies.
- Manage and curate large-scale genomic datasets, ensuring data integrity, accuracy, and accessibility.
- Visualize complex data in a clear and comprehensible manner for scientific publications, presentations, and internal reports.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and statistical methodologies.
- Mentor and guide junior data analysts and researchers in data analysis techniques.
- Contribute to the development of new research methodologies and data analysis platforms.
- Ensure reproducibility of analysis by maintaining well-documented code and workflows.
- Present findings to internal teams and external collaborators at scientific conferences.
Qualifications include a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field. A minimum of 6 years of experience in analyzing large-scale biological datasets, with a significant focus on genomics, is essential. Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and libraries (e.g., Bioconductor, GATK, Samtools) are required. Demonstrated experience with statistical modeling, machine learning, and data visualization techniques is critical. Excellent understanding of genomics principles, molecular biology, and relevant experimental techniques is a must. Strong problem-solving abilities and the capacity to work independently in a remote, fast-paced research environment are necessary. Experience with cloud computing platforms (AWS, GCP, Azure) for data analysis is a significant advantage. If you are passionate about leveraging data to unlock the secrets of the genome and are seeking an impactful remote role, we invite you to apply.
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5
Remote Scientific Data Analyst
Posted 18 days ago
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Job Description
Our client, a leading innovator in scientific research, is seeking a highly analytical and meticulous Remote Scientific Data Analyst to join their forward-thinking team. In this fully remote position, you will be responsible for collecting, processing, and analyzing complex datasets generated from cutting-edge research experiments. Your insights will be crucial in driving scientific discovery and informing future research directions. You will work with a diverse team of scientists and researchers, contributing to groundbreaking projects in a collaborative, virtual environment. This role demands a strong statistical background, proficiency in data analysis tools, and the ability to communicate complex findings clearly and concisely.
Responsibilities:
Responsibilities:
- Collect, clean, and pre-process large scientific datasets from various experimental sources.
- Perform statistical analysis on research data to identify trends, patterns, and significant findings.
- Develop and implement data visualization techniques to effectively communicate research results.
- Collaborate with researchers to define data analysis requirements and methodologies.
- Interpret complex scientific data and provide actionable insights to research teams.
- Design and execute experiments for data validation and quality control.
- Utilize statistical software and programming languages (e.g., R, Python, SPSS) for data manipulation and analysis.
- Contribute to the writing of scientific reports, publications, and presentations.
- Maintain accurate and organized documentation of data analysis processes and results.
- Stay updated with the latest advancements in data analysis techniques and relevant scientific fields.
- Contribute to the development of predictive models and analytical frameworks.
- Ensure data integrity and adherence to research ethics and protocols.
- Master's or PhD in a quantitative field such as Statistics, Mathematics, Physics, Biology, Computer Science, or a related scientific discipline.
- Proven experience in analyzing complex scientific datasets.
- Strong proficiency in statistical analysis methods and software (e.g., R, Python with libraries like Pandas, NumPy, SciPy, SPSS, SAS).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with database management and SQL.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with scientific research methodologies.
- A proactive approach to data challenges and a commitment to scientific rigor.
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Lead Scientific Researcher - Remote Data Analysis
Posted 23 days ago
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Job Description
Our client is seeking a highly qualified and motivated Lead Scientific Researcher to contribute to groundbreaking projects. This role involves leading research initiatives, designing experiments, and analyzing complex datasets to derive meaningful insights. You will be responsible for developing research methodologies, interpreting results, and contributing to scientific publications. The ideal candidate will possess a Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Environmental Science) and have a proven track record of successful research. Responsibilities include managing research projects from conception to completion, securing funding through grant applications, and mentoring junior researchers. You will also collaborate with cross-functional teams to translate research findings into practical applications or further scientific understanding. This position requires exceptional analytical and critical thinking skills, strong written and verbal communication abilities, and proficiency in statistical analysis software and research methodologies. The ability to present complex scientific information clearly and concisely to diverse audiences is essential. We are looking for a dedicated individual who is passionate about scientific discovery and innovation. Experience in specific areas relevant to our client's current research focus is a significant advantage. You will play a pivotal role in advancing scientific knowledge and contributing to the development of new technologies or solutions. The successful candidate will demonstrate a commitment to ethical research practices and a rigorous scientific approach. This is an exciting opportunity to lead impactful research in a collaborative and stimulating environment. The scope of work may involve laboratory-based tasks as well as extensive data analysis and remote collaboration with global partners. The conceptual operational base for this role is **Garissa, Garissa, KE**, with a hybrid work arrangement allowing for both remote and on-site contributions.
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7
Sports Analytics Specialist
Posted 23 days ago
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Job Description
Our client, a pioneering organization at the intersection of sports and data, is looking for a talented and passionate Sports Analytics Specialist to join their innovative team. This role will be based out of our Meru, Meru, KE office, with a flexible hybrid work arrangement, allowing you to balance on-site collaboration with remote work. You will be at the forefront of applying advanced analytical techniques to unlock insights from vast datasets related to athlete performance, team dynamics, and fan engagement. Your work will directly influence strategic decisions, from player recruitment and training methodologies to game strategy and marketing campaigns. We are seeking an individual with a strong quantitative background, a deep understanding of statistical modeling, and a genuine passion for sports. You will be responsible for collecting, cleaning, and analyzing complex sporting data, developing predictive models, and communicating your findings to both technical and non-technical stakeholders. This includes creating compelling visualizations and reports that clearly articulate insights and recommendations. The ideal candidate will have experience with various data analysis tools and programming languages such as Python or R, and be proficient in database management. You should possess excellent problem-solving skills and the ability to translate complex analytical concepts into actionable business insights. Collaboration is key in this role, as you will work closely with coaches, management, and marketing teams to ensure our analytical outputs are relevant and impactful. If you are eager to contribute to the evolution of sports through data-driven decision-making and thrive in a dynamic, forward-thinking environment, this opportunity is for you.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and process large datasets related to sports performance and engagement.
- Apply statistical modeling and machine learning techniques to analyze sporting data.
- Develop predictive models to forecast player performance, game outcomes, and fan behavior.
- Create compelling data visualizations and dashboards to communicate insights.
- Collaborate with coaches, management, and marketing teams to inform strategic decisions.
- Identify trends and patterns in data to provide actionable recommendations.
- Stay current with the latest advancements in sports analytics and data science.
- Contribute to the development of data-driven strategies for athlete development and team performance.
- Present findings and insights to various stakeholders, both technical and non-technical.
- Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Sports Management, or a related quantitative field.
- Proven experience in sports analytics or a similar analytical role.
- Proficiency in programming languages like Python or R for data analysis.
- Strong understanding of statistical methods, machine learning algorithms, and data mining techniques.
- Experience with database querying languages (e.g., SQL).
- Excellent data visualization skills using tools like Tableau, Power BI, or similar.
- Strong analytical and problem-solving abilities.
- Excellent communication and presentation skills, with the ability to explain complex findings clearly.
- A deep passion for sports and an understanding of various sports disciplines.
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Remote Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client is seeking a skilled and analytical Remote Sports Analytics Specialist to join their dynamic team. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will be responsible for collecting, analyzing, and interpreting complex datasets related to various sports. You will work closely with coaches, performance analysts, and management to provide data-driven insights that enhance player performance, strategic decision-making, and game-day operations. Your responsibilities will include developing predictive models, identifying key performance indicators (KPIs), and creating comprehensive reports and visualizations to communicate findings effectively. You will utilize advanced statistical techniques and data mining methods to uncover trends and patterns in performance data, scouting reports, and game statistics. The ability to translate technical findings into actionable recommendations for non-technical stakeholders is crucial. This role requires a deep understanding of sports dynamics, combined with exceptional quantitative and programming skills. You will be expected to stay abreast of the latest advancements in sports analytics and data science. The ideal candidate is highly self-motivated, organized, and able to manage their time effectively in a remote work environment. Collaboration with team members through virtual channels will be essential. You will contribute to the development of analytical tools and dashboards to support ongoing data analysis needs. This role offers a unique opportunity to influence the strategic direction of sports teams through cutting-edge data analysis. A Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field is required. Proven experience in sports analytics, including a portfolio of relevant projects, is essential. Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are mandatory. Strong knowledge of statistical modeling, machine learning algorithms, and database management is expected. Excellent communication skills, both written and verbal, are necessary for presenting complex data insights clearly and concisely. Familiarity with various sports and their specific performance metrics is highly desirable. This remote position is perfect for an individual passionate about sports and data, looking to leverage their analytical prowess in a flexible work setting.
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