308 Research jobs in Kenya
AI Research Scientist
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Pharmaceutical Research Scientist
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Key responsibilities include:
- Designing and conducting in vitro and in vivo experiments to evaluate the efficacy and safety of potential drug candidates.
- Developing and optimizing biochemical and cell-based assays for drug screening and target validation.
- Analyzing experimental data using statistical methods and interpreting results to inform further research direction.
- Collaborating with cross-functional teams, including chemists, biologists, and clinicians, to advance drug discovery projects.
- Contributing to the preparation of research proposals, reports, and publications for scientific journals and regulatory submissions.
- Maintaining accurate and detailed laboratory notebooks and documentation.
- Staying abreast of the latest scientific literature, technological advancements, and industry trends in pharmaceutical research.
- Identifying and evaluating new research technologies and methodologies.
- Presenting research findings at internal meetings and scientific conferences.
- Ensuring compliance with all relevant laboratory safety regulations and ethical guidelines.
The ideal candidate will possess a Ph.D. or Master's degree in Pharmacology, Biochemistry, Molecular Biology, Medicinal Chemistry, or a related life science discipline. A minimum of 5 years of post-doctoral or industry research experience in drug discovery is required. Proven experience in assay development, high-throughput screening, and data analysis is essential. Familiarity with common laboratory techniques and instrumentation in a pharmaceutical R&D setting is expected. Strong problem-solving skills, critical thinking, and the ability to work independently and as part of a remote team are crucial. Excellent written and verbal communication skills, with the ability to clearly present complex scientific information, are mandatory. A passion for scientific innovation and a commitment to contributing to the development of life-saving medicines are highly valued.
Principal Research Scientist
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Lead Research Scientist
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AI Research Scientist
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AI Research Scientist
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Key Responsibilities:
- Conduct cutting-edge research in areas such as natural language processing, computer vision, reinforcement learning, and generative models.
- Develop, implement, and evaluate novel AI algorithms and models.
- Collaborate with engineering teams to translate research findings into deployable AI solutions.
- Stay current with the latest advancements in AI and machine learning through literature review and conference participation.
- Design and execute experiments to test hypotheses and validate models.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of AI intellectual property and patents.
- Mentor junior researchers and interns.
- Present research results and project progress to technical and non-technical audiences.
- Analyze large datasets to identify patterns and extract valuable insights.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in AI research, demonstrated through publications, projects, or contributions to open-source AI libraries.
- Strong theoretical foundation in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python, and frameworks like TensorFlow, PyTorch, or Keras.
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective hybrid teamwork.
- Ability to work independently and drive research projects forward.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with MLOps principles and practices is a plus.
This position offers a unique opportunity to contribute to groundbreaking AI research and development within a dynamic and forward-thinking organization.
AI Research Scientist
Posted 1 day ago
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Key Responsibilities:
- Conduct advanced research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop and implement new AI algorithms and models.
- Design and execute experiments to evaluate the performance of AI models.
- Collaborate with engineering teams to integrate AI solutions into products and services.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Publish research findings in reputable conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Analyze large datasets to identify patterns and extract meaningful insights.
- Contribute to the company's intellectual property portfolio through patents and publications.
- Present research findings and technical details to both technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven research experience in AI/ML, demonstrated through publications, projects, or contributions to open-source initiatives.
- Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of statistical methods and data analysis techniques.
- Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is advantageous.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, crucial for a remote environment.
- Ability to work independently and manage research projects effectively.
- Experience in a specific AI domain (e.g., NLP, computer vision) relevant to the client's focus areas is a plus.
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Pharmaceutical Research Scientist
Posted 1 day ago
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Responsibilities:
- Design and execute research experiments to support drug discovery and development.
- Analyze complex scientific data using statistical and bioinformatics tools.
- Conduct literature reviews to stay abreast of scientific advancements.
- Develop and validate experimental protocols and assays.
- Interpret experimental results and contribute to scientific conclusions.
- Prepare comprehensive scientific reports, presentations, and publications.
- Collaborate with internal and external research partners.
- Maintain detailed and accurate digital records of research activities.
- Contribute to the strategic direction of research projects.
- Adhere to ethical standards and regulatory guidelines in research.
- Ph.D. or Master's degree in Pharmacology, Medicinal Chemistry, or a related pharmaceutical science.
- Minimum of 5 years of relevant research experience in the pharmaceutical industry or academia.
- Proven expertise in experimental design and data analysis.
- Strong knowledge of drug discovery and development processes.
- Proficiency with relevant scientific software and databases.
- Excellent written and verbal communication skills.
- Ability to work independently and manage research projects remotely.
- Strong analytical and problem-solving capabilities.
Research Scientist - Biotechnology
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Research Scientist - Bioinformatics
Posted 1 day ago
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Responsibilities:
- Analyze large-scale biological datasets (genomics, transcriptomics, proteomics).
- Develop and implement novel bioinformatics algorithms and pipelines.
- Perform data preprocessing, quality assessment, and statistical analysis.
- Collaborate with experimental scientists to interpret research findings.
- Contribute to the design of experiments and data collection strategies.
- Develop and maintain bioinformatics databases and software tools.
- Visualize complex biological data for reports and publications.
- Stay current with advancements in bioinformatics and computational biology.
- Present research findings at scientific meetings and conferences.
- Write and maintain technical documentation and scientific publications.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
- Proven experience in analyzing biological data using computational approaches.
- Proficiency in programming languages such as Python, R, and Perl.
- Experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Knowledge of statistical methods and machine learning techniques relevant to biology.
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a collaborative research team.