2,711 Lead R D Scientist Biotechnology Remote jobs in Kenya
Lead Scientific Research Scientist
Posted 4 days ago
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Principal Scientific Research Scientist
Posted 21 days ago
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Principal Data Scientist - Scientific Research
Posted 21 days ago
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Lead Data Scientist - Scientific Research
Posted 21 days ago
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Senior Scientific Data Scientist
Posted 17 days ago
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Lead Scientific Research Scientist (Remote)
Posted 15 days ago
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Principal Scientific Research Fellow
Posted 21 days ago
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Principal Scientific Research Scientist (Biotechnology)
Posted 3 days ago
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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.
Remote Lead Scientific Data Scientist (R&D)
Posted 1 day ago
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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.
Remote Lead Data Scientist - Scientific Research
Posted 11 days ago
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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.