What Jobs are available for Principal Investigator in Kenya?
Showing 3052 Principal Investigator jobs in Kenya
Principal Investigator - Computational Biology
Posted 27 days ago
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Job Description
Responsibilities:
- Lead and direct independent research projects in computational biology.
- Develop innovative computational methods and algorithms for biological data analysis.
- Secure research funding through competitive grant applications.
- Publish research findings in top-tier scientific journals.
- Mentor and supervise a team of postdoctoral researchers and graduate students.
- Collaborate with experimental biologists and clinicians to address critical research questions.
- Manage research budgets and resources efficiently.
- Present research outcomes at scientific conferences and symposia.
- Contribute to the strategic direction of the R&D department.
- Foster a culture of scientific excellence and innovation within the remote team.
- Ph.D. or equivalent in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 10 years of independent research experience with a strong publication record.
- Proven track record of securing external research funding (e.g., NIH, NSF).
- Extensive expertise in programming languages (e.g., Python, R, C++) and relevant software packages.
- Deep knowledge of statistical modeling, machine learning, and data mining techniques.
- Experience analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
- Demonstrated ability to lead and mentor research teams.
- Exceptional communication, presentation, and interpersonal skills.
- Experience with high-performance computing environments is essential.
- Ability to work autonomously and manage a remote research group effectively.
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Lead Scientific Research Scientist
Posted today
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Lead Scientific Research Scientist (Remote)
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Remote Lead Data Scientist - Scientific Research
Posted today
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Job Description
Key Responsibilities:
- Lead the design and implementation of sophisticated statistical models and machine learning algorithms for scientific data analysis.
- Develop and manage data pipelines for ingesting, cleaning, transforming, and analyzing large-scale scientific datasets from various sources (e.g., experimental, observational, genomic).
- Collaborate closely with domain experts (biologists, chemists, physicists, etc.) to understand research questions and translate them into data science problems.
- Mentor and guide a team of data scientists, providing technical leadership and fostering professional development.
- Design and conduct rigorous A/B testing and validation studies to assess the performance of models and hypotheses.
- Develop reproducible research workflows and ensure best practices in coding, version control, and documentation.
- Communicate complex analytical findings and insights effectively to both technical and non-technical audiences through clear visualizations and presentations.
- Identify opportunities to leverage new data science techniques and technologies to solve challenging scientific problems.
- Contribute to grant proposals and publications by providing data analysis expertise and insights.
- Ensure data privacy, security, and ethical considerations are maintained throughout all data science projects.
- Stay current with the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- A minimum of 7 years of progressive experience in data science, with a significant portion focused on scientific or research applications.
- Demonstrated experience in leading data science projects and mentoring junior team members.
- Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
- Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Superb communication and collaboration skills, with the ability to work effectively in a distributed, remote team.
- Experience with bioinformatics, cheminformatics, or other specialized scientific data analysis is a plus.
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Remote Lead Scientific Data Scientist (R&D)
Posted today
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced analytical models and algorithms to address complex scientific R&D challenges.
- Mentor and manage a team of data scientists and researchers, fostering a collaborative and innovative environment.
- Oversee the entire data science project lifecycle, from data exploration and feature engineering to model validation and deployment.
- Collaborate closely with R&D scientists, engineers, and product managers to define project scope and objectives.
- Identify novel data sources and analytical approaches to accelerate scientific discovery.
- Develop and maintain robust data pipelines and infrastructure for scientific data processing.
- Present complex scientific findings and insights to both technical and non-technical audiences.
- Stay current with the latest advancements in machine learning, AI, statistical modeling, and relevant scientific fields.
- Champion data-driven decision-making and promote best practices in scientific data analysis.
- Contribute to the development of intellectual property and scientific publications.
- Manage project timelines, resources, and deliverables effectively.
Qualifications:
- Ph.D. or Master's degree in a quantitative scientific field such as Physics, Chemistry, Biology, Computer Science, Statistics, or a related discipline.
- 8+ years of progressive experience in data science, with a significant focus on scientific research and development.
- Proven experience in leading and managing scientific data science teams.
- Expertise in machine learning, deep learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of scientific principles relevant to the company's R&D focus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, presentation, and interpersonal skills, with the ability to collaborate effectively in a remote setting.
- Track record of publications or contributions to scientific advancements.
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Remote Scientific Research Scientist
Posted today
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Job Description
Key Responsibilities:
- Design, conduct, and optimize scientific experiments and research studies.
- Collect, analyze, and interpret complex scientific data using appropriate methodologies.
- Develop and validate novel research protocols and techniques.
- Prepare detailed research reports, manuscripts for publication, and presentations.
- Stay current with scientific literature, emerging technologies, and best practices in the field.
- Collaborate with internal and external research teams and stakeholders.
- Contribute to the development of intellectual property (patents, trade secrets).
- Troubleshoot experimental challenges and propose solutions.
- Maintain accurate and organized research records.
- Ph.D. or Master's degree in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Engineering).
- Demonstrated experience in scientific research and development.
- Expertise in experimental design, data analysis, and scientific interpretation.
- Proficiency with scientific software and laboratory equipment relevant to the field.
- Strong publication record or significant contributions to research projects.
- Excellent analytical, critical thinking, and problem-solving skills.
- Effective written and verbal communication skills for scientific reporting and collaboration.
- Ability to work independently and manage research projects remotely.
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Senior Scientific Data Scientist
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Remote Scientific Research Lead
Posted today
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Job Description
Key Responsibilities:
- Define research strategies and objectives aligned with organizational goals.
- Lead and mentor a team of remote scientists and researchers.
- Design and oversee complex research projects, ensuring scientific rigor and methodological soundness.
- Develop innovative experimental protocols and methodologies.
- Analyze and interpret large datasets, drawing meaningful conclusions.
- Facilitate cross-functional collaboration with internal and external stakeholders.
- Author and contribute to high-impact scientific publications and grant proposals.
- Stay current with scientific advancements and emerging technologies in the field.
- Manage project timelines, budgets, and resources effectively.
- Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Computer Science).
- Minimum of 8 years of progressive research experience, with at least 3 years in a leadership role.
- Demonstrated success in leading and managing research projects.
- Strong publication record in peer-reviewed journals.
- Expertise in experimental design, data analysis, and interpretation.
- Excellent communication, presentation, and interpersonal skills.
- Proficiency in using collaboration and communication tools for remote work.
- Ability to work autonomously and drive results in a virtual environment.
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Principal Scientific Research Fellow
Posted today
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Job Description
Responsibilities:
- Lead and direct high-impact scientific research projects.
- Develop and implement innovative research strategies.
- Secure research funding through grant applications and partnerships.
- Mentor and guide junior researchers and post-doctoral fellows.
- Interpret complex scientific data and draw significant conclusions.
- Publish research findings in leading peer-reviewed journals.
- Present research at national and international scientific conferences.
- Foster collaborations with academic, industry, and government entities.
- Contribute to the strategic direction of the research organization.
- Ph.D. in a relevant scientific field (e.g., Biology, Chemistry, Physics, Engineering).
- 12+ years of post-doctoral research experience.
- Proven track record of leading independent research programs.
- Extensive publication record in high-impact journals.
- Demonstrated success in obtaining research grants and funding.
- Exceptional scientific leadership and mentoring skills.
- Expertise in experimental design and advanced analytical techniques.
- Strong collaboration and communication abilities.
- Ability to work autonomously and drive research initiatives remotely.
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