4,831 Life Science jobs in Kenya
Principal Scientific Research Scientist
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Remote Senior Scientific Research Scientist - Biotechnology
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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 .
Lead Scientific Research Scientist (Biotechnology) - Remote
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Principal Data Scientist - Scientific Research
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Lead Data Scientist - Scientific Research
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Principal Scientific Research Fellow
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Principal Scientific Research Fellow
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Responsibilities:
- Initiate, design, and lead independent, cutting-edge research projects aligned with the institution's strategic objectives.
- Secure external funding through competitive grant applications.
- Disseminate research findings through high-impact peer-reviewed publications and conference presentations.
- Mentor and supervise postdoctoral fellows, graduate students, and visiting scholars.
- Collaborate with researchers across different departments and institutions, fostering interdisciplinary research.
- Contribute to the development of new research methodologies and technologies.
- Ensure the ethical conduct of research and compliance with all relevant regulations.
- Manage research budgets and resources effectively.
- Contribute to the strategic planning and direction of the research division.
- Act as a subject matter expert, providing guidance and insights to colleagues and stakeholders.
Qualifications:
- Ph.D. in Physics, Chemistry, Biology, Materials Science, or a related scientific discipline.
- Minimum of 10 years of post-doctoral research experience, with a demonstrated track record of significant contributions to the field.
- A distinguished publication record in top-tier international journals and a strong citation index.
- Proven success in obtaining external research grants from major funding agencies.
- Demonstrated leadership experience in managing research projects and teams.
- Excellent analytical, critical thinking, and problem-solving skills.
- Outstanding scientific communication and presentation skills.
- Ability to work independently and collaboratively in a remote research environment.
- Experience supervising and mentoring junior researchers.
- A deep understanding of scientific integrity and research ethics.
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Remote Lead Scientific Research & Development Scientist
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Principal Remote Scientific Research Scientist (Data Science) (Remote)
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Key responsibilities include spearheading research projects, mentoring junior scientists, and collaborating with interdisciplinary teams to explore novel hypotheses and develop groundbreaking solutions. You will be expected to author high-impact scientific publications, present findings at international conferences, and contribute to patent filings. Expertise in programming languages such as Python or R, proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), and advanced knowledge of big data technologies and cloud computing platforms are mandatory. A strong understanding of statistical inference, experimental design, and data visualization techniques is essential.
You will play a pivotal role in shaping our client's data science strategy, identifying emerging trends, and advocating for the adoption of new methodologies and tools. The ability to lead complex, multi-faceted research endeavors with minimal supervision, while fostering a collaborative and intellectually stimulating remote work environment, is paramount. Exceptional communication, presentation, and interpersonal skills are required to effectively convey complex technical concepts to diverse audiences, including executive leadership and external collaborators. This is a unique opportunity to influence the future of scientific research at the highest level.
Location: Garissa, Garissa, KE
Remote Principal Data Scientist - Scientific Research
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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.