1,215 Life Science jobs in Kenya
Senior Scientific Research Scientist (Remote)
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Key Responsibilities:
- Design and execute complex scientific research experiments.
- Develop research hypotheses and conduct rigorous data analysis.
- Interpret research findings and draw meaningful conclusions.
- Publish research results in peer-reviewed scientific journals.
- Write and submit grant proposals to secure research funding.
- Present research findings at national and international conferences.
- Collaborate with interdisciplinary research teams and external partners.
- Mentor and supervise junior researchers and technical staff.
- Stay current with the latest scientific literature and advancements in the field.
- Contribute to the development of research strategies and program planning.
- Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Engineering).
- Minimum of 5 years of post-doctoral or equivalent research experience.
- Demonstrated expertise in a specific area of scientific research.
- Strong publication record in reputable scientific journals.
- Proven experience in grant writing and securing research funding.
- Excellent analytical, statistical, and problem-solving skills.
- Proficiency in relevant research methodologies and laboratory techniques.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote setting.
Senior Scientific Research Scientist - Remote
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Responsibilities:
- Lead the design and execution of complex scientific research projects from inception to completion.
- Develop and implement novel experimental methodologies and research protocols.
- Collect, process, and analyze large and complex scientific datasets using advanced statistical techniques and software.
- Interpret research findings, draw conclusions, and prepare high-quality scientific reports and manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and to stakeholders.
- Collaborate effectively with internal and external research teams, fostering a positive and productive research environment.
- Contribute to the writing of research proposals and grant applications to secure funding.
- Mentor and guide junior researchers and technical staff.
- Stay current with scientific literature, emerging technologies, and best practices in your field.
- Ensure adherence to ethical research standards and data integrity principles.
- Contribute to the strategic direction of research initiatives within the organization.
- Translate research findings into practical solutions or policy recommendations.
- Ph.D. in Environmental Science, Biology, Chemistry, Physics, or a related scientific field.
- Minimum of 7 years of post-doctoral or relevant industrial research experience.
- Demonstrated track record of impactful scientific publications in reputable journals.
- Proven ability to independently conceptualize, design, and conduct significant research projects.
- Expertise in advanced statistical analysis, data modeling, and scientific software (e.g., R, Python, SPSS, MATLAB).
- Proficiency in specific laboratory techniques or computational modeling relevant to the research area.
- Excellent analytical, critical thinking, and problem-solving skills.
- Outstanding written and verbal communication skills for scientific discourse.
- Experience in grant writing and successful funding acquisition is a strong asset.
- Ability to work autonomously and manage multiple research priorities in a remote setting.
- A commitment to scientific rigor and innovation.
Senior Data Scientist - Scientific Research
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Lead Data Scientist - Scientific Research
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Key Responsibilities:
- Lead the design and implementation of complex statistical models and machine learning algorithms for scientific research.
- Analyze large and diverse datasets to identify patterns, trends, and correlations relevant to research objectives.
- Develop predictive models and data-driven hypotheses to advance scientific understanding.
- Collaborate closely with researchers across various disciplines to define data analysis strategies and interpret findings.
- Mentor and guide junior data scientists and research analysts, fostering their technical development.
- Develop and maintain data pipelines, ensuring data quality, integrity, and accessibility.
- Create compelling data visualizations and reports to communicate complex results to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
- Evaluate and implement new tools and technologies to enhance data analysis capabilities.
- Contribute to the development of research proposals and grant applications.
- Ensure compliance with data privacy regulations and ethical research practices.
- Manage data science projects from conception to completion, ensuring timely delivery of insights.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, Biology, or a related scientific discipline.
- Minimum of 7 years of experience in data science, with a significant focus on scientific research or R&D.
- Proven expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and R.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Familiarity with big data technologies (e.g., Spark, Hadoop) and database management systems (SQL, NoSQL).
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
- Experience in managing data science projects and mentoring junior team members.
- Knowledge of specific scientific domains relevant to our client's research areas is a strong asset.
We offer a competitive salary, excellent benefits, and a stimulating research environment. If you are a motivated and experienced data scientist eager to make a tangible impact in scientific discovery, we encourage you to apply.
Senior Data Scientist - Scientific Research
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Responsibilities:
- Design and implement data science methodologies to address complex research questions.
- Collect, clean, preprocess, and analyze large, complex scientific datasets.
- Develop, train, and validate machine learning models and predictive algorithms.
- Identify patterns, trends, and insights within data to support research hypotheses.
- Collaborate with researchers to define data requirements and analytical approaches.
- Visualize data and model results effectively for clear communication.
- Contribute to the interpretation of experimental data and findings.
- Stay abreast of the latest advancements in data science, machine learning, and scientific computing.
- Develop reusable code and analytical frameworks.
- Present findings and methodologies to research teams and stakeholders.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a focus on scientific or research applications.
- Expertise in statistical modeling, machine learning, and deep learning techniques.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn).
- Experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
- Strong understanding of database systems (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities, with the capacity to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a remote research environment.
Senior Scientific Research Analyst
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Key Responsibilities:
- Design and execute scientific research projects, including hypothesis formulation and experimental design.
- Collect, clean, and process large scientific datasets using various analytical tools and methodologies.
- Perform statistical analysis, modeling, and interpretation of research findings.
- Develop and maintain databases and analytical tools.
- Prepare detailed research reports, scientific papers, and presentations for internal and external stakeholders.
- Collaborate with research scientists, engineers, and project managers on complex scientific initiatives.
- Stay current with scientific literature, methodologies, and technological advancements in relevant fields.
- Identify trends and patterns in data to inform strategic research decisions.
- Contribute to the grant writing and proposal development process.
- Mentor junior research staff and provide technical guidance.
- Ph.D. or Master's degree in a scientific discipline (e.g., Biology, Chemistry, Physics, Statistics, Bioinformatics) or a related field.
- Minimum of 5 years of experience in scientific research and data analysis.
- Proven expertise in statistical analysis, experimental design, and scientific modeling.
- Proficiency with scientific software and programming languages (e.g., R, Python, MATLAB, SPSS).
- Strong understanding of data visualization techniques.
- Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work independently and manage research projects in a remote environment.
- Strong critical thinking and problem-solving abilities.
- Experience with scientific literature review and manuscript preparation.
Senior Scientific Research Manager
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Remote Senior Data Scientist - Scientific Research
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Key Responsibilities include:
- Designing and implementing statistical analysis and machine learning models for scientific data.
- Extracting, cleaning, and transforming large datasets from various sources.
- Developing predictive models to identify trends, patterns, and anomalies in scientific research data.
- Utilizing programming languages such as Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Visualizing data and model results using tools like Matplotlib, Seaborn, or Tableau.
- Collaborating with researchers and subject matter experts to define analytical objectives.
- Interpreting complex results and communicating findings clearly to both technical and non-technical audiences.
- Staying current with the latest advancements in data science, machine learning, and relevant scientific fields.
- Contributing to the development of data infrastructure and best practices.
- Mentoring junior data scientists and analysts.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Physics, or a related discipline. A minimum of 6 years of experience in data science or a related analytical role, with a focus on scientific research applications, is required. Demonstrated expertise in statistical modeling, machine learning algorithms, and data mining techniques is essential. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable. Excellent communication, critical thinking, and problem-solving skills are crucial for this role. As this is a remote position, you must possess strong self-management abilities, be highly organized, and capable of thriving in an independent work environment while effectively contributing to a virtual team. This is an exceptional opportunity to apply your data science expertise to advance critical scientific research.
Remote Lead Scientific Research Analyst
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Senior Remote Scientific Research Analyst
Posted today
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Responsibilities:
- Design and conduct scientific research studies.
- Collect, analyze, and interpret experimental data.
- Develop and apply statistical models and methodologies.
- Perform comprehensive literature reviews and synthesize findings.
- Prepare detailed research reports, papers, and presentations.
- Collaborate with research teams and stakeholders.
- Ensure adherence to research protocols and ethical guidelines.
- Identify trends and draw conclusions from research data.
- Stay abreast of scientific advancements and emerging research areas.
- Contribute to the development of new research methodologies.
- Ph.D. or Master's degree in a relevant scientific field (e.g., Biology, Chemistry, Physics, Statistics, Data Science).
- Minimum of 7 years of experience in scientific research and analysis.
- Proven experience in designing and executing research projects.
- Strong proficiency in statistical analysis software (e.g., R, SPSS, SAS) and data visualization tools.
- Deep understanding of scientific methodology and research ethics.
- Excellent scientific writing and communication skills.
- Strong analytical and problem-solving capabilities.
- Ability to work independently and manage research projects effectively in a remote setting.
- Detail-oriented with a commitment to scientific rigor.
- A passion for research and scientific inquiry.