1,883 Remote Principal Scientist Biotechnology jobs in Kenya
Remote Principal Scientist (Biotechnology)
Posted 20 days ago
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Key Responsibilities:
- Lead and manage complex research projects in a designated area of biotechnology.
- Design and conduct experiments, analyze data, and interpret results to advance research objectives.
- Develop and optimize novel research methodologies and protocols.
- Mentor and supervise junior scientists, post-doctoral fellows, and research assistants.
- Collaborate with internal teams (e.g., R&D, manufacturing) and external partners.
- Prepare and present research findings at scientific meetings and in peer-reviewed publications.
- Contribute to the strategic direction of the company's research and development pipeline.
- Ensure adherence to all laboratory safety protocols and ethical guidelines.
- Manage research budgets and resources effectively.
- Stay abreast of the latest scientific advancements and competitive intelligence in the field.
Qualifications:
- Ph.D. in Biotechnology, Molecular Biology, Biochemistry, or a closely related field.
- A minimum of 10 years of post-doctoral research experience in an academic or industrial R&D setting.
- Demonstrated expertise and a strong publication record in a specific area of biotechnology (e.g., gene editing, protein engineering, immunotherapy, drug discovery).
- Proven ability to lead research projects and mentor scientific staff.
- Extensive experience with advanced molecular biology techniques, cell culture, and analytical methods.
- Strong understanding of scientific principles and experimental design.
- Excellent critical thinking, problem-solving, and data analysis skills.
- Exceptional written and verbal communication and presentation skills.
- Ability to work independently, manage complex projects, and thrive in a remote research environment.
- A history of securing grant funding or contributing to patent applications is a significant advantage.
Remote Principal Scientist - Biotechnology Research
Posted 20 days ago
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Responsibilities:
- Lead and manage independent research projects in a chosen area of biotechnology, from hypothesis generation to experimental validation and data interpretation.
- Design, develop, and optimize novel experimental methodologies and protocols.
- Secure external funding through grant writing and proposal development.
- Analyze complex biological data using advanced statistical and computational tools.
- Publish research findings in leading peer-reviewed scientific journals and present at international conferences.
- Mentor and supervise postdoctoral fellows, graduate students, and research assistants.
- Collaborate with internal and external collaborators to advance research objectives.
- Contribute to the strategic direction and intellectual vision of the research group/department.
- Ensure compliance with all laboratory safety regulations, ethical guidelines, and institutional policies.
- Manage laboratory resources, including equipment, supplies, and budgets effectively.
- Stay abreast of the latest advancements and emerging trends in biotechnology and related fields.
- Develop and maintain a strong publication record and a reputation for scientific excellence.
- Contribute to patent applications for novel discoveries and inventions.
- Promote a collaborative and innovative research environment.
- PhD in Molecular Biology, Genetics, Biochemistry, Biophysics, or a closely related field.
- Minimum of 10 years of post-doctoral research experience in a relevant area of biotechnology.
- Demonstrated track record of independent research, including securing competitive grants (e.g., NIH, NSF, or equivalent).
- Extensive publication record in high-impact, peer-reviewed journals.
- Expertise in a specialized area of biotechnology (e.g., CRISPR technology, single-cell genomics, protein engineering, drug discovery).
- Proficiency in advanced laboratory techniques relevant to the field.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
- Proven leadership and mentoring abilities.
- Experience with data analysis software and bioinformatics tools.
- Ability to work independently and manage multiple research projects concurrently in a remote setting.
- A strong network within the scientific community is advantageous.
Remote Principal Scientist - Pharmaceutical R&D
Posted 12 days ago
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Principal Scientific Research Scientist
Posted 22 days ago
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Principal Research Scientist (Scientific Research & Development)
Posted 14 days ago
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Principal Scientific Research Scientist (Biotechnology)
Posted 4 days ago
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Job Description
Responsibilities:
- Lead and direct complex research projects in biotechnology, focusing on areas such as genetic engineering, molecular diagnostics, or bioprocessing.
- Develop innovative research strategies and experimental designs to address critical scientific questions.
- Oversee the execution of experiments, ensuring data integrity and reproducibility.
- Analyze and interpret large and complex datasets, utilizing advanced statistical and bioinformatics tools.
- Mentor and guide a team of research scientists and technicians, fostering their professional development.
- Prepare high-quality scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at national and international conferences.
- Contribute to the development of intellectual property, including patent applications.
- Collaborate with internal and external partners to advance research programs.
- Stay current with the latest advancements in biotechnology and related fields.
- Ph.D. in Molecular Biology, Genetics, Biochemistry, Bioengineering, or a closely related field.
- Minimum of 10 years of postdoctoral research experience in a relevant scientific domain.
- Demonstrated success in leading independent research programs and securing funding.
- Extensive experience with molecular cloning, gene editing techniques (e.g., CRISPR), protein expression and purification, or other relevant biotechnological methods.
- Proficiency in bioinformatics tools and statistical analysis software.
- Exceptional publication record in reputable scientific journals.
- Strong leadership, mentorship, and project management skills.
- Excellent written and verbal communication abilities, essential for remote collaboration.
Principal Data Scientist - Scientific Research
Posted 22 days ago
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Principal Scientific Research Fellow
Posted 22 days ago
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Remote Principal Data Scientist - Scientific Research
Posted 20 days ago
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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.
Remote Principal Research Scientist (Biotechnology)
Posted 22 days ago
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