5,291 Research Assistants jobs in Kenya
Junior Research Assistant - Remote Scientific Data Analyst
Posted 20 days ago
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Job Description
Our client, a renowned scientific research institution, is seeking an enthusiastic and detail-oriented Junior Research Assistant to join their remote team. This internship provides a unique opportunity to contribute to cutting-edge scientific research while developing your analytical skills in data management and analysis. You will be responsible for assisting senior researchers with data collection, cleaning, processing, and basic statistical analysis for various ongoing projects. This fully remote role requires a strong academic background in a scientific discipline, excellent organizational abilities, and a proactive approach to learning and problem-solving from **Mombasa, Mombasa, KE**. You will work closely with a globally distributed team, utilizing digital tools to ensure effective collaboration and project execution.
Key Responsibilities:
Qualifications:
This fully remote internship offers valuable hands-on research experience, mentorship from leading scientists, and the opportunity to contribute to significant scientific advancements. If you are a motivated student or recent graduate passionate about scientific research and data analysis, we encourage you to apply.
Key Responsibilities:
- Assist in the collection and organization of scientific data from various sources.
- Perform data cleaning, validation, and preprocessing tasks to ensure data accuracy and integrity.
- Conduct basic statistical analysis under the guidance of senior researchers.
- Generate reports and visualizations of research findings using appropriate software.
- Maintain detailed records of research activities, data sources, and methodologies.
- Support literature reviews and information gathering for research projects.
- Collaborate with team members through virtual meetings and shared digital platforms.
- Adhere to research protocols, ethical guidelines, and data security standards.
- Contribute to the preparation of research manuscripts and presentations.
- Learn and apply new research methodologies and analytical techniques as required.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in a scientific field such as Biology, Chemistry, Physics, Environmental Science, or a related discipline.
- Strong understanding of scientific research methodologies and data analysis principles.
- Proficiency in data analysis software (e.g., Excel, SPSS, R, Python for data analysis) is highly desirable.
- Excellent attention to detail and accuracy in data handling.
- Strong organizational and time management skills, essential for managing remote tasks.
- Good written and verbal communication skills for effective remote collaboration.
- Ability to work independently and take initiative in a virtual environment.
- A stable internet connection and a suitable remote workspace are required.
- Eagerness to learn and adapt to new research challenges.
- Previous research experience or academic projects involving data analysis is a plus.
This fully remote internship offers valuable hands-on research experience, mentorship from leading scientists, and the opportunity to contribute to significant scientific advancements. If you are a motivated student or recent graduate passionate about scientific research and data analysis, we encourage you to apply.
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Principal Data Scientist - Scientific Research
Posted 20 days ago
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Job Description
Our client, a renowned institution at the forefront of Scientific Research & Development, is seeking a visionary Principal Data Scientist to lead groundbreaking research initiatives. This is a unique opportunity to work in a fully remote capacity, leveraging your expertise to drive scientific discovery and innovation. You will be responsible for designing and implementing advanced statistical models, machine learning algorithms, and data mining techniques to extract meaningful insights from complex datasets. Your work will directly contribute to scientific breakthroughs across various research domains. This role requires a deep understanding of scientific methodologies, rigorous analytical thinking, and the ability to translate complex data into actionable insights. You will collaborate with a team of world-class scientists, researchers, and engineers, contributing to research proposals, experimental design, and the interpretation of results. The ideal candidate will possess a Ph.D. in a quantitative field such as Statistics, Computer Science, Physics, or a related discipline, with extensive experience in applying data science techniques to scientific problems. Proficiency in programming languages like Python or R, along with experience in big data technologies and cloud platforms, is essential. Excellent communication skills are required to effectively present complex findings to both technical and non-technical audiences. This is a chance to make a significant contribution to the advancement of science and technology, all while enjoying the flexibility and autonomy of a remote role. Join our client and help push the boundaries of knowledge, impacting scientific endeavors globally, with a focus on supporting research efforts relevant to the Kitale, Trans-Nzoia, KE area.
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Lead Data Scientist - Scientific Research
Posted 20 days ago
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Job Description
Our client is seeking an innovative Lead Data Scientist to spearhead advanced scientific research initiatives. This is a fully remote position, enabling you to contribute your expertise from anywhere. You will lead the design, development, and implementation of sophisticated data-driven models and algorithms to extract insights from complex scientific datasets. Your responsibilities will encompass the entire data science lifecycle, from data acquisition, cleaning, and preprocessing, to exploratory data analysis, feature engineering, model building, validation, and deployment. You will work closely with researchers and domain experts to understand their challenges, define analytical approaches, and translate scientific questions into actionable data science problems. The ideal candidate will have a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related discipline, with a strong emphasis on statistical modeling, machine learning, and artificial intelligence. Proven experience in applying advanced analytical techniques to scientific problems, such as genomic analysis, climate modeling, material science, or drug discovery, is highly desirable. Proficiency in programming languages like Python or R, and expertise with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn), along with experience in big data technologies (e.g., Spark, Hadoop), is crucial. You must possess excellent analytical, critical thinking, and problem-solving skills, as well as the ability to communicate complex findings clearly and effectively to both technical and non-technical audiences. This role requires strong leadership capabilities to guide and mentor junior data scientists, foster collaboration, and drive research projects forward. If you are a passionate data scientist driven by scientific discovery and seeking a challenging remote opportunity to make a significant impact, we encourage you to apply.
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Principal Scientific Data Analyst
Posted 20 days ago
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Job Description
Our client, a cutting-edge research institution at the forefront of scientific discovery, is looking for an exceptional Principal Scientific Data Analyst to join their fully remote team. This senior role is integral to extracting meaningful insights from vast and complex scientific datasets generated by ongoing research projects. You will be responsible for the design and implementation of advanced analytical methodologies, statistical modeling, and data visualization techniques to support critical research objectives. Your expertise will guide the interpretation of experimental results, identification of trends, and formulation of new hypotheses. Key responsibilities include developing data management strategies, ensuring data integrity, and building robust analytical pipelines. You will collaborate closely with researchers across various scientific disciplines, translating their data challenges into actionable analytical solutions. Proficiency in programming languages commonly used in data analysis, such as Python or R, and experience with machine learning frameworks are essential. A strong background in statistical analysis and experimental design is a must. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Physics, Bioinformatics) with a significant focus on data analysis and research. Proven experience in handling large-scale scientific datasets and a demonstrated ability to communicate complex analytical findings clearly and concisely to non-technical audiences are paramount. This position demands exceptional problem-solving skills and the ability to work independently and lead analytical initiatives within a remote, collaborative environment. This is a unique opportunity to make a profound impact on scientific advancement by unlocking the potential of data. We are seeking highly motivated and intellectually curious individuals who thrive on challenging analytical problems.
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Lead Scientific Data Analyst - Genomics
Posted 5 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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Remote Scientific Data Analyst
Posted 15 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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Senior Scientific Data Scientist
Posted 16 days ago
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Job Description
Our client is looking for a Senior Scientific Data Scientist to join their innovative remote research and development team. This position will be instrumental in analyzing complex scientific datasets, developing predictive models, and deriving actionable insights to drive breakthroughs in various scientific fields. You will work with cutting-edge technologies and large-scale data across disciplines such as bioinformatics, material science, or climate modeling. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Physics, Biology) with a strong emphasis on data analysis and machine learning. Responsibilities include designing and implementing statistical models and machine learning algorithms, performing data mining, feature engineering, and validation. You will be responsible for data visualization, communicating complex findings to scientific and non-scientific audiences through clear reports and presentations. This role requires extensive experience with programming languages such as Python or R, and proficiency in scientific computing libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn). Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. You will collaborate closely with researchers and scientists, translating scientific questions into data-driven hypotheses and experimental designs. The ability to work independently, manage multiple research projects, and stay current with the latest advancements in data science and scientific research is crucial. This is a challenging and rewarding opportunity to contribute to significant scientific advancements, all within a flexible remote work environment. You will have the autonomy to explore new analytical approaches and contribute to the strategic direction of research initiatives. We seek a motivated and highly analytical individual with a passion for uncovering scientific truths through data.
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Remote Lead Data Scientist - Scientific Research
Posted 10 days ago
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Job Description
Our client, a prestigious international institute at the forefront of scientific research and development, is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics initiatives. This position is a fully remote opportunity, allowing top-tier talent to contribute to groundbreaking discoveries without geographical limitations. You will lead a team of data scientists and collaborate with researchers across diverse scientific disciplines to extract actionable insights from complex datasets, drive innovation, and advance scientific understanding.
Key Responsibilities:
Key Responsibilities:
- Lead the design and implementation of sophisticated statistical models and machine learning algorithms for scientific data analysis.
- Develop and manage data pipelines for ingesting, cleaning, transforming, and analyzing large-scale scientific datasets from various sources (e.g., experimental, observational, genomic).
- Collaborate closely with domain experts (biologists, chemists, physicists, etc.) to understand research questions and translate them into data science problems.
- Mentor and guide a team of data scientists, providing technical leadership and fostering professional development.
- Design and conduct rigorous A/B testing and validation studies to assess the performance of models and hypotheses.
- Develop reproducible research workflows and ensure best practices in coding, version control, and documentation.
- Communicate complex analytical findings and insights effectively to both technical and non-technical audiences through clear visualizations and presentations.
- Identify opportunities to leverage new data science techniques and technologies to solve challenging scientific problems.
- Contribute to grant proposals and publications by providing data analysis expertise and insights.
- Ensure data privacy, security, and ethical considerations are maintained throughout all data science projects.
- Stay current with the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- A minimum of 7 years of progressive experience in data science, with a significant portion focused on scientific or research applications.
- Demonstrated experience in leading data science projects and mentoring junior team members.
- Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
- Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Superb communication and collaboration skills, with the ability to work effectively in a distributed, remote team.
- Experience with bioinformatics, cheminformatics, or other specialized scientific data analysis is a plus.
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Remote Principal Data Scientist - Scientific Research
Posted 18 days ago
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Job Description
Our client, a distinguished institution at the forefront of scientific discovery, is seeking a visionary Remote Principal Data Scientist to spearhead advanced data analysis and modeling efforts within their research divisions. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking scientific endeavors from anywhere. You will be responsible for developing sophisticated analytical frameworks, extracting actionable insights from complex datasets, and guiding research projects through data-driven approaches. The ideal candidate possesses a Ph.D. in a quantitative field, extensive experience in statistical modeling, machine learning, and a deep passion for scientific inquiry.
Responsibilities:
Responsibilities:
- Lead the design and implementation of complex data science projects to address critical research questions.
- Develop and apply advanced statistical methods, machine learning algorithms, and predictive models to large, complex scientific datasets.
- Extract, clean, transform, and analyze diverse data sources (e.g., experimental data, simulations, observational data).
- Visualize complex data and communicate findings clearly and effectively to researchers, stakeholders, and collaborators.
- Mentor and guide junior data scientists and research staff in data analysis methodologies.
- Collaborate with principal investigators and research teams to define research objectives and data requirements.
- Stay abreast of the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.
- Develop and maintain robust data pipelines and computational workflows.
- Evaluate and implement new tools and technologies for data analysis and modeling.
- Contribute to grant proposals and research publications by providing data science expertise.
- Ensure the reproducibility and validity of analytical results.
- Identify opportunities to leverage data for novel discoveries and advancements.
- Manage data governance, privacy, and ethical considerations in research data analysis.
- Present research findings at scientific conferences and workshops.
- Troubleshoot and resolve complex analytical challenges.
- Ph.D. in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 10 years of experience as a Data Scientist, with a significant focus on scientific research applications.
- Extensive expertise in statistical modeling, machine learning techniques (e.g., deep learning, Bayesian methods, reinforcement learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
- Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
- Demonstrated ability to lead complex analytical projects and mentor junior team members.
- Exceptional problem-solving, critical-thinking, and analytical skills.
- Outstanding communication and presentation skills, capable of explaining complex technical concepts to both technical and non-technical audiences remotely.
- Ability to work independently, manage priorities, and drive projects to completion in a remote setting.
- Experience in a specific scientific domain (e.g., genomics, astrophysics, bioinformatics, computational chemistry) is highly desirable.
- Strong understanding of data management best practices and database technologies.
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Remote Lead Scientific Data Scientist (R&D)
Posted today
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Job Description
Our client is at the forefront of innovation and is seeking a visionary Lead Scientific Data Scientist to spearhead their Research & Development initiatives from a remote capacity. This senior role will involve designing, developing, and implementing cutting-edge data-driven solutions to solve complex scientific challenges. You will lead a team of talented data scientists and researchers, guiding them through the entire lifecycle of data analysis, from data acquisition and preprocessing to model development, validation, and deployment. The ideal candidate possesses a strong academic background in a quantitative scientific discipline, coupled with extensive experience in applying advanced statistical methods, machine learning, and artificial intelligence to scientific problems. You will be instrumental in identifying new research avenues, formulating hypotheses, and translating raw scientific data into actionable insights that drive product development and technological advancements. This is a fully remote position, requiring exceptional leadership, communication, and collaboration skills to effectively manage a distributed team and engage with stakeholders across R&D, engineering, and product management. Your work will directly impact the future direction of our client's scientific endeavors. Responsibilities include mentoring junior scientists, staying abreast of the latest scientific literature and technological advancements, and championing best practices in data science within the organization.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and implementation of advanced analytical models and algorithms to address complex scientific R&D challenges.
- Mentor and manage a team of data scientists and researchers, fostering a collaborative and innovative environment.
- Oversee the entire data science project lifecycle, from data exploration and feature engineering to model validation and deployment.
- Collaborate closely with R&D scientists, engineers, and product managers to define project scope and objectives.
- Identify novel data sources and analytical approaches to accelerate scientific discovery.
- Develop and maintain robust data pipelines and infrastructure for scientific data processing.
- Present complex scientific findings and insights to both technical and non-technical audiences.
- Stay current with the latest advancements in machine learning, AI, statistical modeling, and relevant scientific fields.
- Champion data-driven decision-making and promote best practices in scientific data analysis.
- Contribute to the development of intellectual property and scientific publications.
- Manage project timelines, resources, and deliverables effectively.
Qualifications:
- Ph.D. or Master's degree in a quantitative scientific field such as Physics, Chemistry, Biology, Computer Science, Statistics, or a related discipline.
- 8+ years of progressive experience in data science, with a significant focus on scientific research and development.
- Proven experience in leading and managing scientific data science teams.
- Expertise in machine learning, deep learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of scientific principles relevant to the company's R&D focus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, presentation, and interpersonal skills, with the ability to collaborate effectively in a remote setting.
- Track record of publications or contributions to scientific advancements.
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