1 006 Scientists jobs in Bahrain
Senior Scientific Research Scientist
Posted 1 day ago
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Key Responsibilities:
- Design, execute, and interpret complex research experiments in a specialized scientific domain.
- Lead independent research projects from conceptualization to publication.
- Develop and validate new experimental techniques and protocols.
- Analyze and present research findings at scientific conferences and in peer-reviewed journals.
- Collaborate with internal and external researchers to foster innovation and knowledge sharing.
- Mentor and guide junior research staff, including post-doctoral fellows and research assistants.
- Manage research budgets and resources effectively.
- Contribute to grant writing and funding proposals.
- Ensure compliance with all laboratory safety regulations and ethical guidelines.
- Stay current with the latest scientific literature and advancements in the field.
Qualifications:
- Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Engineering).
- Minimum of 7 years of post-doctoral or industry research experience.
- Demonstrated track record of significant scientific contributions, evidenced by publications and presentations.
- Expertise in a specific area of scientific research relevant to the institution's focus.
- Strong proficiency in experimental design, data analysis, and statistical methods.
- Experience with relevant laboratory techniques and instrumentation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and mentoring capabilities.
- Strong written and verbal communication skills.
- Ability to work effectively both independently and as part of a hybrid team.
- Experience with scientific software and data management tools is essential.
Remote Lead Data Scientist - Scientific Research
Posted today
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Responsibilities:
- Lead the design and execution of data science initiatives for scientific research projects.
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze large, complex datasets to uncover trends, patterns, and insights.
- Collaborate closely with research scientists to interpret results and inform research direction.
- Mentor and guide junior data scientists and research analysts.
- Ensure data quality, integrity, and efficient data management practices.
- Communicate complex findings clearly and effectively to diverse stakeholders.
- Stay current with advancements in data science, AI, and relevant scientific disciplines.
- Contribute to the development of new research methodologies and tools.
- Drive innovation by exploring novel applications of data science in research.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, Bioinformatics, or a related quantitative field.
- 8+ years of experience in data science or advanced analytics, with a focus on scientific research.
- Proven experience in leading data science projects and teams.
- Expertise in machine learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with big data technologies and database management (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation abilities.
- Experience in specific scientific domains (e.g., genomics, astrophysics, materials science) is a significant plus.
Senior Scientific Research Fellow - Advanced Materials
Posted today
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Responsibilities:
- Conduct independent, high-caliber research in the field of advanced materials.
- Develop and implement novel synthetic routes for creating new materials with tailored properties.
- Utilize advanced characterization techniques (e.g., electron microscopy, spectroscopy, diffraction) to analyze material structures and properties.
- Investigate the structure-property relationships of newly developed materials.
- Write and submit research proposals to secure external funding.
- Publish research findings in peer-reviewed scientific journals and present at international conferences.
- Collaborate with other research groups and industry partners on joint projects.
- Mentor junior researchers, post-doctoral fellows, and graduate students.
- Contribute to the strategic direction and intellectual leadership of the research group.
- Ph.D. in Materials Science, Chemistry, Physics, or a closely related discipline.
- Minimum of 5 years of post-doctoral research experience in materials science or a related field.
- A strong publication record in leading peer-reviewed journals.
- Demonstrated expertise in materials synthesis, characterization, and theoretical understanding.
- Proven ability to independently design, execute, and manage research projects.
- Experience in securing research grants is a significant advantage.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills.
AI Research Scientist
Posted today
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The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong academic record and a passion for research. Expertise in programming languages such as Python, along with experience in AI frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. You should have a solid theoretical understanding of various AI concepts, including neural networks, natural language processing, computer vision, and reinforcement learning. The ability to work collaboratively in a research environment and communicate complex technical ideas clearly is also highly valued.
Responsibilities:
- Conduct research and development in artificial intelligence and machine learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Work with large datasets to train and validate AI systems.
- Develop proof-of-concept applications and prototypes.
- Stay up-to-date with the latest advancements in AI research.
- Collaborate with cross-functional teams to integrate AI solutions.
- Analyze and interpret research results.
- Contribute to technical publications and presentations.
- Explore new research directions and potential applications of AI.
- Troubleshoot and optimize AI models for performance and scalability.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven experience in AI research and development.
- Strong programming skills in Python.
- Proficiency with AI/ML frameworks (TensorFlow, PyTorch).
- Deep understanding of machine learning, deep learning, and statistical modeling.
- Experience with data analysis and manipulation.
- Excellent problem-solving and analytical abilities.
- Strong written and verbal communication skills.
AI Research Scientist
Posted today
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Key Responsibilities:
- Conduct original research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or other AI domains.
- Develop, implement, and evaluate novel AI algorithms and machine learning models.
- Design and execute rigorous experiments to test hypotheses and validate models.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in leading conferences and journals.
- Present research results to both technical and non-technical audiences.
- Mentor junior researchers and interns.
- Contribute to the intellectual property portfolio through patent applications.
- Participate in team brainstorming sessions and contribute to the strategic direction of AI research.
- Work effectively in a hybrid environment, contributing to both in-person and remote collaboration efforts.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publication in reputable AI conferences or journals.
- Strong theoretical understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a research team.
- Experience in areas like NLP, Computer Vision, or Reinforcement Learning is a significant plus.
Lead Research Scientist
Posted today
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Job Description
- Designing, conducting, and interpreting complex research experiments.
- Leading and mentoring a team of research scientists and technicians.
- Developing innovative methodologies and experimental protocols.
- Analyzing and reporting research findings to internal stakeholders and external conferences.
- Collaborating with cross-functional teams to integrate research outcomes into product development.
- Staying abreast of the latest scientific advancements and technological trends.
- Managing research project timelines, budgets, and resources effectively.
- Contributing to the development of intellectual property and scientific publications.
- Ph.D. in a relevant scientific field (e.g., Chemistry, Biology, Physics, Materials Science).
- Minimum of 8 years of post-doctoral research experience.
- Proven experience in leading research projects and managing teams.
- Strong publication record in reputable scientific journals.
- Expertise in advanced analytical techniques and instrumentation relevant to the field.
- Excellent problem-solving, critical thinking, and data analysis skills.
- Exceptional communication and interpersonal skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work effectively in a fast-paced, collaborative research environment.
Senior Research Scientist
Posted today
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Job Description
- Designing and conducting advanced research experiments.
- Analyzing and interpreting complex scientific data.
- Developing and validating new methodologies and technologies.
- Leading research projects from conceptualization to completion.
- Mentoring and guiding junior research staff.
- Collaborating with internal and external partners on research initiatives.
- Preparing scientific reports, publications, and presentations.
- Securing research grants and funding.
- Staying abreast of the latest scientific advancements and trends in the field.
- Ensuring compliance with safety regulations and laboratory protocols.
- Contributing to the strategic direction of the R&D department.
- PhD in a relevant scientific field (e.g., Chemistry, Biology, Physics, Engineering).
- Extensive post-doctoral research experience.
- Proven track record of scientific publications and conference presentations.
- Expertise in experimental design, data analysis, and statistical modeling.
- Experience with relevant laboratory techniques and instrumentation.
- Strong leadership and project management skills.
- Excellent written and verbal communication abilities.
- Ability to work collaboratively in a team environment.
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Biotechnology Research Scientist
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AI Research Scientist
Posted today
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Key Responsibilities:
- Conduct advanced research in Artificial Intelligence and Machine Learning.
- Develop and implement novel AI algorithms and models.
- Analyze large and complex datasets to extract insights.
- Design and execute experiments to test hypotheses and validate models.
- Stay abreast of the latest advancements and research in AI.
- Collaborate with research teams and engineers to translate research into practical applications.
- Publish research findings in top-tier conferences and journals.
- Present research results to internal and external stakeholders.
- Contribute to the intellectual property portfolio of the company.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research in AI/ML, evidenced by publications in leading venues.
- Deep expertise in areas such as NLP, Computer Vision, Reinforcement Learning, or Deep Learning.
- Proficiency in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras).
- Strong mathematical and statistical background.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
Agricultural Research Scientist
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