5,722 Senior Research Scientist jobs in Kenya
Research Scientist
Posted 7 days ago
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Key Responsibilities:
- Design, execute, and optimize scientific experiments.
- Collect, analyze, and interpret complex scientific data using appropriate methodologies.
- Develop and validate new research techniques and protocols.
- Contribute to the writing and publication of research findings in peer-reviewed journals.
- Present research results at scientific conferences and internal meetings.
- Collaborate with other scientists and researchers on joint projects.
- Maintain detailed and accurate laboratory notebooks and research records.
- Stay abreast of the latest advancements and methodologies in the relevant scientific field.
- Contribute to grant writing and funding applications as needed.
- Ensure adherence to safety protocols and ethical guidelines in research.
- Ph.D. or Master's degree in a relevant scientific discipline (e.g., Chemistry, Biology, Physics, Materials Science, Engineering).
- Demonstrated experience in scientific research and development.
- Expertise in specific laboratory techniques and analytical methods relevant to the field.
- Proficiency in scientific software for data analysis and modeling.
- Strong publication record or evidence of significant research contributions.
- Excellent problem-solving, critical thinking, and analytical skills.
- Exceptional written and verbal communication skills for scientific reporting and collaboration.
- Ability to work independently, manage time effectively, and maintain high standards of scientific rigor in a remote setting.
- A proactive and curious mindset with a passion for scientific discovery.
- Experience with cross-functional team collaboration is desirable.
Remote Research Scientist - Data Analysis
Posted 7 days ago
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Responsibilities:
- Design and implement data analysis plans for research projects.
- Perform complex statistical analyses and build predictive models.
- Clean, preprocess, and transform large datasets.
- Interpret research findings and translate them into actionable insights.
- Develop and utilize algorithms for data mining and machine learning.
- Create compelling data visualizations to communicate complex results.
- Collaborate remotely with cross-functional research teams.
- Write technical reports, research papers, and presentations.
- Stay abreast of the latest advancements in data science and relevant scientific fields.
- Ensure the integrity and accuracy of all data analysis performed.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, Mathematics, or a related discipline.
- Proven experience in scientific research and data analysis.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages like Python or R.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Strong analytical and critical thinking skills.
- Excellent written and verbal communication skills for scientific reporting.
- Ability to work independently and manage research timelines in a remote setting.
- Demonstrated ability to solve complex scientific problems using data.
- Publications in peer-reviewed journals are a strong asset.
Principal Scientific Research Scientist
Posted 7 days ago
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Senior Research Scientist
Posted 8 days ago
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We are seeking an experienced and innovative Senior Research Scientist with over 10 years of expertise in scientific research and development. The role involves leading research initiatives, designing and executing experiments, publishing findings, and collaborating with internal and external stakeholders to drive scientific discovery and application. The ideal candidate will have a strong publication record, deep subject-matter expertise, and proven leadership in advancing research projects from concept to implementation.
Key Responsibilities:
Lead the design, execution, and analysis of complex research projects.
Develop new methodologies, technologies, or approaches to address scientific challenges.
Publish high-impact research papers, patents, and technical reports.
Secure research funding through grant proposals, partnerships, or collaborations.
Collaborate with cross-functional teams, academic institutions, and industry partners.
Mentor and supervise junior researchers, scientists, and graduate students.
Present research findings at national and international conferences.
Translate research outcomes into practical applications, products, or policy recommendations.
Stay updated on emerging trends, technologies, and advancements in the field.
Qualifications:
PhD in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Biotechnology, Data Science, Engineering, Environmental Science, or related field).
10+ years of professional research experience with a track record of high-quality publications and/or patents.
Demonstrated success in securing research grants and funding.
Advanced knowledge of research methodologies, experimental design, and data analysis.
Strong problem-solving and critical-thinking abilities.
Excellent communication and scientific writing skills.
Preferred Skills:
Experience leading multidisciplinary research teams.
Familiarity with laboratory information management systems (LIMS), advanced statistical software, or modeling tools.
Strong industry, academic, or government research network.
Ability to bridge research with practical applications for industry or society.
Biotechnology Research Scientist
Posted today
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Key Responsibilities:
- Design and conduct experiments in molecular biology, genetics, and cell biology.
- Analyze and interpret complex biological data using statistical and bioinformatics tools.
- Develop and optimize novel assays for disease detection and biomarker discovery.
- Contribute to the writing of research papers, patents, and grant applications.
- Collaborate with internal and external research partners remotely.
- Maintain accurate and detailed experimental records.
- Present research findings at virtual scientific conferences and meetings.
- Stay current with the latest advancements in biotechnology and related fields.
- Ph.D. in Biotechnology, Molecular Biology, Genetics, or a closely related field.
- Postdoctoral experience or equivalent research experience in a relevant area.
- Proven track record of scientific achievement, evidenced by publications in peer-reviewed journals.
- Expertise in techniques such as PCR, Western blotting, ELISA, DNA sequencing, CRISPR technology, and cell culture.
- Proficiency in bioinformatics tools and statistical analysis software.
- Strong problem-solving and critical-thinking abilities.
- Excellent communication and interpersonal skills, with experience in remote collaboration.
- Demonstrated ability to work independently and as part of a distributed team.
AI Research Scientist
Posted today
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Key Responsibilities:
- Conduct foundational and applied research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Develop and experiment with new AI architectures and techniques.
- Analyze and interpret complex datasets to extract meaningful insights and inform model development.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay current with the latest advancements in AI research and development through literature reviews and conference attendance.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Contribute to patent applications and intellectual property development.
- Develop efficient and scalable AI systems for deployment.
- Communicate research progress and results effectively to technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A strong publication record in leading AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL).
- Proven experience in developing and implementing machine learning and deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in at least one core AI domain (e.g., NLP, Computer Vision, Reinforcement Learning).
- Proficiency in programming languages such as Python, with strong software engineering skills.
- Experience with data analysis, statistical modeling, and experimental design.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, essential for a remote team environment.
- Ability to work independently and take initiative in a research-oriented setting.
- A genuine passion for advancing the field of artificial intelligence.
This exciting remote opportunity is associated with our research initiatives in Nairobi, Nairobi, KE . We are looking for pioneers who want to shape the future of AI.
Pharmaceutical Research Scientist
Posted today
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AI Research Scientist
Posted today
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Key responsibilities include conducting in-depth research into areas such as deep learning, natural language processing, computer vision, and reinforcement learning. You will design, develop, and validate AI models and algorithms using appropriate programming languages and frameworks (e.g., Python, TensorFlow, PyTorch). Analyzing experimental results, identifying patterns, and drawing meaningful conclusions are crucial aspects of this role. You will be expected to publish research findings in top-tier conferences and journals, and present complex technical information clearly and concisely to both technical and non-technical audiences. Staying abreast of the latest advancements in AI and machine learning, and identifying opportunities to apply new techniques to existing challenges, is essential. The ideal candidate possesses strong analytical and problem-solving skills, with a passion for scientific inquiry and a commitment to producing high-quality research.
Required qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A strong publication record in reputable AI conferences and journals is highly desirable. Proven experience in developing and deploying machine learning models is mandatory. Proficiency in programming languages like Python and experience with machine learning libraries and frameworks are essential. Excellent analytical, mathematical, and statistical skills are required. The ability to work both independently and collaboratively in a team environment is important. This is a unique opportunity to contribute to pioneering AI research and development in Kisumu, Kisumu, KE .
AI Research Scientist
Posted 1 day ago
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Responsibilities:
- Conduct original research in artificial intelligence, machine learning, and related fields.
- Develop and implement novel AI algorithms and models, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and execute experiments to evaluate the performance and efficacy of AI models.
- Prototype and build scalable AI systems and applications.
- Analyze complex datasets to extract insights and inform model development.
- Stay current with the latest advancements in AI research and industry trends.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the intellectual property portfolio through patent filings.
- Present research findings to technical and non-technical audiences.
- Contribute to defining the strategic direction of AI research within the company.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Proven track record of impactful research in AI, evidenced by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Expertise in one or more subfields of AI, such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Proficiency in programming languages commonly used in AI research (e.g., Python, C++).
- Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong mathematical and statistical background.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently, manage complex research projects, and communicate findings effectively in a remote setting.
- Experience with large-scale data processing and distributed computing is a plus.
- Strong collaboration and teamwork skills.
Pharmaceutical Research Scientist
Posted 2 days ago
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Job Description
Responsibilities:
- Design, execute, and analyze complex biological experiments.
- Investigate novel therapeutic targets and pathways.
- Optimize lead compounds and assess their preclinical efficacy and safety.
- Develop and validate new assay methodologies.
- Collaborate with cross-functional teams to progress drug candidates.
- Maintain detailed laboratory notebooks and prepare comprehensive research reports.
- Contribute to scientific publications, presentations, and patent filings.
- Stay abreast of the latest scientific advancements in relevant therapeutic areas.
- Manage laboratory resources and ensure compliance with safety regulations.
- Mentor junior researchers and contribute to a positive team environment.
- Ph.D. in Pharmacology, Molecular Biology, Biochemistry, or a related field.
- Minimum of 3 years of post-doctoral or industry research experience.
- Demonstrated expertise in relevant experimental techniques and methodologies.
- Strong understanding of drug discovery principles and the pharmaceutical R&D process.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Proficiency in data analysis software and statistical methods.
- Strong written and verbal communication skills.
- Ability to work effectively in a hybrid work model.