1,982 Lead Clinical Research Scientist jobs in Kenya
Senior Computational Biologist - Scientific Research
Posted 11 days ago
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Responsibilities:
- Develop and implement computational pipelines for analyzing large biological datasets.
- Perform statistical analysis and interpretation of multi-omics data (genomics, transcriptomics, etc.).
- Apply machine learning techniques to biological problems.
- Design computational aspects of research studies.
- Collaborate with experimental biologists and clinicians.
- Visualize complex biological data effectively.
- Contribute to manuscript preparation and scientific publications.
- Mentor junior computational biologists and bioinformaticians.
- Manage research projects and timelines.
- Stay current with advancements in bioinformatics and computational biology.
- PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 7 years of progressive experience in computational biology or bioinformatics research.
- Proficiency in programming languages such as Python and R.
- Experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, TCGA).
- Strong understanding of statistical methods and machine learning algorithms.
- Experience with cloud computing platforms and high-performance computing (HPC) is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple research projects in a remote setting.
Lead Scientific Research Scientist
Posted 6 days ago
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Principal Scientific Research Scientist
Posted 22 days ago
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Senior Scientific Data Scientist
Posted 18 days ago
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Principal Scientific Research Fellow
Posted 22 days ago
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Senior Scientific Researcher - Pharmaceutical Development
Posted 22 days ago
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Qualifications:
- Ph.D. in Pharmacology, Medicinal Chemistry, Biochemistry, Molecular Biology, or a closely related field.
- Minimum of 5 years of postdoctoral or industry research experience in pharmaceutical R&D.
- Proven expertise in drug discovery and preclinical development, with a focus on small molecules or biologics.
- Strong track record of scientific publications and/or patent filings.
- Experience with relevant laboratory techniques, instrumentation, and data analysis software.
- Excellent problem-solving, critical thinking, and experimental design skills.
- Strong written and verbal communication skills, with the ability to present complex scientific information effectively.
- Ability to work independently and collaboratively within a team setting.
- Demonstrated leadership potential and mentoring experience.
Principal Data Scientist - Scientific Research
Posted 22 days ago
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Lead Data Scientist - Scientific Research
Posted 22 days ago
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Lead Scientific Research Scientist (Remote)
Posted 16 days ago
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Remote Lead Scientific Data Scientist (R&D)
Posted 2 days ago
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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.