3,921 Scientist jobs in Kenya
Remote Lead Scientific Research & Development Scientist
Posted 9 days ago
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Senior Pharmaceutical Research & Development Scientist
Posted 7 days ago
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Key Responsibilities:
- Lead and conduct research projects focused on the discovery and development of new pharmaceutical agents.
- Design and execute preclinical studies to evaluate drug efficacy, safety, and pharmacokinetics.
- Develop and optimize in vitro and in vivo experimental models relevant to disease areas.
- Analyze and interpret complex scientific data, drawing sound conclusions and making strategic recommendations.
- Collaborate closely with medicinal chemists, pharmacologists, toxicologists, and formulation scientists.
- Contribute to the development of research strategies and the identification of novel drug targets.
- Prepare high-quality research reports, presentations, and manuscripts for internal and external dissemination.
- Ensure compliance with regulatory guidelines (e.g., GLP) and company SOPs.
- Manage timelines and resources for assigned research projects.
- Stay abreast of the latest scientific advancements and competitive intelligence in the pharmaceutical industry.
- Mentor junior scientists and contribute to team development.
- Identify and evaluate new technologies and research tools to enhance R&D capabilities.
- Contribute to the preparation of regulatory submission documents.
Qualifications:
- Ph.D. in Pharmacology, Medicinal Chemistry, Molecular Biology, Pharmaceutical Sciences, or a related discipline.
- Minimum of 8 years of relevant pharmaceutical R&D experience, with a significant focus on drug discovery and early development.
- Proven expertise in designing and executing preclinical studies, including in vitro assays and in vivo models.
- Strong understanding of drug discovery principles, ADMET properties, and common therapeutic areas.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency with relevant scientific software and data analysis tools.
- Exceptional scientific communication, presentation, and writing skills.
- Ability to manage multiple research projects simultaneously and work effectively in a remote team setting.
- Experience with GLP environments is highly desirable.
- Demonstrated ability to lead research initiatives and mentor junior staff.
- Strong publication record in peer-reviewed journals.
This fully remote position offers the unique opportunity to drive pharmaceutical innovation from anywhere and make a profound impact on patient health for our client in Nairobi, Nairobi, KE .
Senior Data Scientist - Research & Development
Posted 5 days ago
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Junior Data Scientist - Research & Development
Posted 11 days ago
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Agricultural Scientist - Remote Research & Development
Posted 12 days ago
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Senior Crop Scientist - Remote Research & Development
Posted 6 days ago
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Remote Senior Scientific Research Scientist - Biotechnology
Posted 7 days ago
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Key responsibilities include:
- Designing and conducting advanced research experiments in biotechnology, including gene editing, protein expression, or cell culture.
- Developing and validating novel research protocols and methodologies.
- Analyzing and interpreting complex experimental data using statistical and bioinformatics tools.
- Troubleshooting experimental challenges and proposing creative solutions.
- Collaborating with other researchers and scientists to achieve project goals.
- Preparing detailed research reports, scientific manuscripts for publication, and patent applications.
- Mentoring and guiding junior research staff and interns.
- Staying current with the latest scientific literature, trends, and technologies in biotechnology.
- Presenting research findings at scientific conferences and internal meetings.
- Ensuring strict adherence to laboratory safety protocols and ethical research practices.
The successful candidate will hold a Ph.D. in Biotechnology, Molecular Biology, Biochemistry, or a closely related field, coupled with a minimum of 5-7 years of post-doctoral or industry research experience. Demonstrated expertise in specific areas of biotechnology (e.g., CRISPR technology, recombinant protein production, mammalian cell culture) is essential. Proficiency in data analysis software (e.g., R, Python for bioinformatics) and experience with relevant molecular biology techniques are required. Excellent written and verbal communication skills, with a strong publication record, are highly desirable. The ability to work independently, manage multiple projects, and contribute effectively to a collaborative, remote research environment is crucial. This position offers an exciting opportunity to contribute to significant scientific advancements for our client, supporting research efforts potentially originating from Machakos, Machakos, KE .
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Lead Scientific Research Scientist (Biotechnology) - Remote
Posted 11 days ago
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Senior Remote Data Scientist - Scientific Research
Posted 13 days ago
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Responsibilities:
- Design and implement statistical models and machine learning algorithms to analyze scientific data.
- Extract, clean, and transform large, complex datasets from various scientific sources.
- Develop predictive models and simulations to forecast scientific outcomes.
- Identify trends, patterns, and anomalies in data that contribute to research hypotheses.
- Collaborate closely with research scientists and domain experts to define analytical objectives and interpret results.
- Communicate findings effectively through reports, visualizations, and presentations.
- Develop data pipelines and ensure data integrity and quality throughout the research process.
- Stay abreast of the latest advancements in data science, machine learning, and relevant scientific fields.
- Contribute to the development of new research methodologies and analytical approaches.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure all analytical work adheres to ethical standards and data privacy regulations.
- Manage individual research project timelines and deliverables.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Physics, Biology, or a related quantitative field.
- Minimum of 6 years of experience in data science, with a significant portion focused on scientific research or R&D.
- Proven expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and data mining.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, NumPy, Pandas).
- Experience with big data technologies and database management (SQL, NoSQL).
- Strong understanding of scientific research principles and methodologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to visualize complex data and communicate findings clearly to diverse audiences.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Remote Lead Data Scientist, Scientific Research
Posted 14 days ago
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Responsibilities:
- Lead the design, development, and deployment of sophisticated machine learning models and statistical analyses for scientific research projects.
- Manage and mentor a team of data scientists, providing technical guidance and fostering a collaborative research environment.
- Identify key research questions and formulate data-driven hypotheses.
- Collect, clean, and preprocess large, complex datasets from diverse scientific sources.
- Develop and implement robust data mining, machine learning, and statistical algorithms.
- Interpret model results and translate complex findings into clear, actionable insights for research teams and stakeholders.
- Collaborate closely with domain experts, researchers, and engineers to understand scientific challenges and opportunities.
- Stay at the forefront of advancements in data science, machine learning, and relevant scientific fields.
- Communicate research findings through reports, presentations, and publications.
- Contribute to the development of data infrastructure and best practices for scientific data analysis.
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Bioinformatics, or a related quantitative field.
- Minimum of 6 years of experience in data science, with at least 2 years in a lead or senior role.
- Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
- Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
- Demonstrated ability to apply statistical methods and data mining techniques to complex scientific problems.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience working in a remote or distributed team environment.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.