21 Scientific Computing jobs in Bahrain
Lead Scientific Researcher - Quantum Computing
20005 Tubli, Central
BHD95000 Annually
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Our client is seeking a pioneering Lead Scientific Researcher specializing in Quantum Computing to join their esteemed research and development team. This is a fully remote position, offering unparalleled flexibility to conduct groundbreaking work from anywhere. We are at the forefront of innovation, pushing the boundaries of what's possible in scientific discovery and technological advancement. This role is perfect for a visionary individual driven by a passion for unraveling complex scientific challenges and contributing to the future of computing.
As a Lead Scientific Researcher, you will conceptualize, design, and execute advanced research projects in the field of quantum computing. Your primary focus will be on developing novel quantum algorithms, exploring new quantum hardware architectures, and contributing to the theoretical underpinnings of quantum information science. You will lead a team of talented researchers, fostering a collaborative and intellectually stimulating environment. This involves mentoring team members, guiding research directions, and ensuring the timely and successful completion of research milestones. You will also be responsible for analyzing experimental data, interpreting results, and publishing findings in high-impact scientific journals and presenting at international conferences. The ideal candidate will possess a Ph.D. in Physics, Computer Science, Mathematics, or a closely related field, with a specialization in quantum computing or a related area. Proven experience in quantum algorithm development, quantum error correction, or quantum machine learning is essential. A strong publication record and a deep understanding of quantum mechanics and linear algebra are required. You will play a pivotal role in shaping our research agenda, seeking grant opportunities, and building strategic partnerships within the scientific community. This is a unique opportunity to contribute to a rapidly evolving field and make a lasting impact on the future of technology.
Key Responsibilities:
Qualifications:
As a Lead Scientific Researcher, you will conceptualize, design, and execute advanced research projects in the field of quantum computing. Your primary focus will be on developing novel quantum algorithms, exploring new quantum hardware architectures, and contributing to the theoretical underpinnings of quantum information science. You will lead a team of talented researchers, fostering a collaborative and intellectually stimulating environment. This involves mentoring team members, guiding research directions, and ensuring the timely and successful completion of research milestones. You will also be responsible for analyzing experimental data, interpreting results, and publishing findings in high-impact scientific journals and presenting at international conferences. The ideal candidate will possess a Ph.D. in Physics, Computer Science, Mathematics, or a closely related field, with a specialization in quantum computing or a related area. Proven experience in quantum algorithm development, quantum error correction, or quantum machine learning is essential. A strong publication record and a deep understanding of quantum mechanics and linear algebra are required. You will play a pivotal role in shaping our research agenda, seeking grant opportunities, and building strategic partnerships within the scientific community. This is a unique opportunity to contribute to a rapidly evolving field and make a lasting impact on the future of technology.
Key Responsibilities:
- Lead and mentor a team of quantum computing researchers.
- Design and execute advanced research projects in quantum algorithms and hardware.
- Develop and validate novel quantum computing theories and applications.
- Analyze and interpret complex experimental and simulation data.
- Publish research findings in peer-reviewed journals and present at conferences.
- Collaborate with internal and external stakeholders on research initiatives.
- Contribute to grant writing and funding proposals.
- Stay abreast of the latest advancements in quantum computing and related fields.
Qualifications:
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a focus on Quantum Computing.
- Minimum of 8 years of postdoctoral research experience in quantum information science or a related area.
- Extensive experience in quantum algorithm development, quantum error correction, or quantum simulation.
- Proficiency in programming languages like Python with quantum libraries (e.g., Qiskit, Cirq).
- Deep understanding of quantum mechanics, linear algebra, and theoretical computer science.
- Demonstrated ability to lead research projects and mentor junior scientists.
- Excellent written and verbal communication skills, with a strong publication record.
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Lead Scientific Researcher - Quantum Computing
52315 Busaiteen, Muharraq
BHD130000 Annually
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Our client, a pioneering R&D organization, is seeking a Lead Scientific Researcher specializing in Quantum Computing to join their cutting-edge research team. This is a fully remote position, allowing you to contribute from anywhere. You will lead and conduct advanced research projects focused on developing new quantum algorithms and applications, pushing the boundaries of quantum computing technology. Responsibilities include designing and implementing quantum experiments, analyzing complex data sets, publishing findings in leading scientific journals, and collaborating with a global team of researchers and engineers. The ideal candidate will have a Ph.D. in Physics, Computer Science, or a related field with a specialization in quantum information or quantum computing. A minimum of 6 years of post-doctoral research experience is essential, along with demonstrated expertise in quantum programming languages and platforms (e.g., Qiskit, Cirq). Strong analytical, problem-solving, and communication skills are paramount, as is the ability to work independently and collaboratively in a remote setting. You will be expected to mentor junior researchers and contribute to grant proposals. This is an unparalleled opportunity to work on transformative technologies and make significant contributions to the scientific community in a remote-first environment.
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Principal Scientific Researcher - Quantum Computing
10011 Seef, Capital
BHD160000 Annually
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Our client is a world-renowned research institution seeking a distinguished Principal Scientific Researcher specializing in Quantum Computing for their facility in **Jidhafs, Capital, BH**. This senior role involves leading groundbreaking research in quantum algorithms, quantum error correction, and quantum systems. The ideal candidate will possess a deep theoretical understanding of quantum mechanics and a proven ability to translate complex quantum principles into practical computational solutions. You will be responsible for designing and executing advanced research experiments, developing novel quantum algorithms, and contributing to the theoretical foundations of quantum computation. This position offers the opportunity to collaborate with leading minds in physics and computer science, publish in prestigious journals, and shape the future of quantum technology.
Responsibilities:
Responsibilities:
- Lead and conduct theoretical and experimental research in quantum computing.
- Develop and analyze quantum algorithms for specific computational problems.
- Investigate and implement methods for quantum error correction and fault tolerance.
- Design and simulate quantum computing architectures.
- Collaborate with experimental physicists to implement and test quantum systems.
- Publish research findings in peer-reviewed journals and present at international conferences.
- Mentor junior researchers and contribute to the scientific direction of the group.
- Secure research funding through grant proposals.
- Stay abreast of the latest advancements in quantum information science.
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum information or quantum computing.
- Minimum of 8 years of post-doctoral research experience in quantum computing.
- Expertise in quantum mechanics, quantum algorithms, quantum information theory, and quantum error correction.
- Proficiency in programming languages relevant to quantum simulation (e.g., Python with Qiskit, Cirq).
- Demonstrated experience in leading research projects and securing research grants.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with a track record of high-impact publications.
- Ability to work independently and collaboratively in a research environment.
- Experience with quantum hardware platforms is a plus.
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2
Graduate Trainee - Data Analysis
731 Riffa, Southern
BHD20000 annum (stip
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Our client is offering an exciting remote-first opportunity for a Graduate Trainee to immerse themselves in the world of data analysis. This position is ideal for recent graduates who are passionate about uncovering insights from data and contributing to strategic decision-making. As a Graduate Trainee, you will work closely with our senior data scientists and analysts, gaining hands-on experience in data cleaning, manipulation, visualization, and basic statistical modeling. You will be involved in projects that require you to collect, process, and interpret large datasets, identifying trends, patterns, and anomalies. Your responsibilities will include supporting the development of data-driven reports and dashboards, conducting exploratory data analysis, and assisting in the testing and validation of analytical models. The role demands a strong analytical mindset, excellent problem-solving skills, and a meticulous attention to detail. While the role is fully remote, a strong internet connection and a dedicated workspace are essential. You should have a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Familiarity with data analysis tools and programming languages like Python (with libraries such as Pandas, NumPy, Matplotlib) or R is highly desirable. Experience with SQL for database querying and data extraction would be an added advantage. This is a fantastic chance to build a career in data analytics, learn from industry experts, and make a tangible impact from the comfort of your home. We are looking for individuals who are eager to learn, driven by curiosity, and ready to contribute innovative ideas in a remote collaborative environment.
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3
Graduate Trainee - Data Analysis
922 Saar, Northern
BHD40000 Annually
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Our client, a pioneering technology firm renowned for its cutting-edge solutions, is offering an exceptional Graduate Trainee opportunity focused on Data Analysis. This is a fully remote, full-time internship designed to provide recent graduates with comprehensive training and hands-on experience in data interpretation, analysis, and visualization.
As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets for analysis.
- Perform data analysis using statistical methods and data mining techniques.
- Develop visualizations and dashboards to present data insights effectively.
- Support senior analysts in identifying trends, patterns, and anomalies within data.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data requirements and deliver insights.
- Contribute to the development of data models and algorithms.
- Document data analysis processes and findings.
- Participate in team meetings and knowledge-sharing sessions.
- Assist in generating reports and presentations for stakeholders.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and basic understanding of databases.
- Familiarity with statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong attention to detail and accuracy.
- A keen interest in data analysis and its application in business.
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Graduate Trainee - Data Analysis
501 Tubli, Central
BHD25000 Annually
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Our client is looking for enthusiastic and bright Graduate Trainees to join their expanding data analysis department. This is an excellent opportunity for recent graduates to kick-start their careers in a supportive and dynamic environment. You will be mentored by experienced professionals and gain hands-on experience in collecting, cleaning, analyzing, and interpreting data to provide valuable insights. The role involves working with various datasets, utilizing statistical tools, and contributing to data-driven decision-making processes within the organization. You will be exposed to different analytical techniques and learn to communicate findings effectively.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform basic statistical analysis and data mining to identify trends and patterns.
- Support senior analysts in developing reports and presentations based on data findings.
- Learn and apply various data visualization techniques to present data effectively.
- Contribute to data quality checks and ensure the accuracy of information.
- Participate in team meetings and provide input on data-related projects.
- Develop proficiency in data analysis software and tools.
- Understand business requirements and translate them into data analysis tasks.
- Conduct research on industry trends and best practices in data analysis.
- Adhere to data privacy and security protocols.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
- Knowledge of any programming language for data analysis (e.g., Python, R, SQL) is a plus.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive attitude towards new challenges.
- Ability to work effectively in a team and follow instructions accurately.
- Strong attention to detail and organizational skills.
- Enthusiasm for a career in data analysis and insights.
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5
Graduate Trainee - Data Analysis
401 Tubli, Central
BHD30000 Annually
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Posted 2 days ago
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Our client is seeking bright and ambitious recent graduates to join their esteemed organization as Graduate Trainees in Data Analysis. This in-office position offers an immersive learning experience where you will develop your skills in analyzing complex datasets to drive business insights. You will work closely with experienced data analysts and business intelligence teams, contributing to projects that impact strategic decision-making across the company. Responsibilities include data cleaning, exploratory data analysis, statistical modeling, and creating visualizations to communicate findings. The ideal candidate will have a recent Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A strong academic record and a foundational understanding of statistical concepts and data analysis principles are essential. Prior experience with data analysis tools like Python (Pandas, NumPy), R, or SQL is highly advantageous.
This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement statistical models to analyze data.
- Create data visualizations and dashboards to present findings effectively.
- Support senior analysts in ad-hoc data analysis requests.
- Learn and apply various data analysis tools and techniques.
- Collaborate with cross-functional teams to understand data needs.
- Contribute to reports and presentations on data insights.
- Maintain documentation of data analysis processes.
- Participate in training sessions and team meetings.
- Recent Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
- Strong academic record with a focus on quantitative subjects.
- Foundational knowledge of statistical concepts and data analysis.
- Familiarity with data analysis tools such as Python (Pandas, NumPy), R, or SQL is a plus.
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal abilities.
- Eagerness to learn and develop data analysis skills.
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Graduate Trainee - Data Analysis
702 Riffa, Southern
BHD30000 Annually
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Our client is offering an exciting Graduate Trainee opportunity in Data Analysis, based in Riffa, Southern, BH , with a remote work option. This program is designed for ambitious recent graduates eager to launch their careers in the data-driven world. You will gain hands-on experience in collecting, cleaning, analyzing, and interpreting large datasets to identify trends, patterns, and insights that drive business decisions. Under the guidance of experienced data professionals, you will develop your skills in statistical analysis, data visualization, and utilizing tools like SQL, Python, or R. This internship provides a comprehensive introduction to the full data lifecycle, from data acquisition to reporting actionable findings. The program emphasizes continuous learning and development, offering exposure to various business functions and cutting-edge analytical techniques. Successful trainees may be offered full-time positions upon completion of the program. This is a fantastic opportunity to build a strong foundation in data analysis and contribute meaningfully to our client's success.
Responsibilities:
Responsibilities:
- Assist in collecting, processing, and cleaning large datasets from various sources.
- Perform statistical analysis on data to identify trends, patterns, and correlations.
- Develop data visualizations and reports to communicate findings effectively.
- Support senior analysts in developing predictive models and business intelligence solutions.
- Learn and apply various data analysis tools and programming languages (e.g., SQL, Python, R, Tableau).
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and provide input on analytical projects.
- Gain exposure to different business areas and their data needs.
- Assist in documenting data sources, methodologies, and findings.
- Complete assigned projects and learning modules within set timelines.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and foundational knowledge of SQL.
- Exposure to statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop skills in data analysis and business intelligence.
- Strong organizational and time management abilities.
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7
Graduate Trainee - Data Analysis
BH89 Bilad Al Qadeem, Capital
BHD40000 Annually
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Posted 2 days ago
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Our client, a forward-thinking analytics firm, is offering an exceptional Graduate Trainee opportunity within their Data Analysis department, operating on a fully remote basis. This program is designed for ambitious recent graduates eager to launch their careers in data science and analytics. You will gain hands-on experience, learn from industry experts, and contribute to meaningful data projects that drive business insights. Key Responsibilities:
- Assist senior data analysts in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of data models and statistical analyses.
- Create visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data analysis techniques and tools, such as SQL, Python (Pandas, NumPy), and R.
- Participate in team meetings and contribute to project discussions.
- Develop a strong understanding of data governance and best practices.
- Assist in testing and validating data-driven solutions.
- Collaborate with team members to troubleshoot data-related issues.
- Undertake training and development activities to build expertise in data analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with programming languages commonly used in data analysis (e.g., Python, R) and SQL.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote learning environment.
- Proactive attitude towards learning and skill development.
- Must have access to a reliable computer and stable internet connection for remote participation.
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8
Graduate Trainee - Data Analysis
902 Tubli, Central
BHD35000 Annually
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Posted 2 days ago
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Our client, a forward-thinking analytics firm specializing in big data solutions, is offering an exciting remote opportunity for recent graduates to join as Graduate Trainees in Data Analysis. This fully remote program is designed to immerse you in the world of data science and analytics, providing hands-on experience with real-world datasets. You will work alongside experienced data scientists and analysts, learning to clean, process, analyze, and visualize data to extract meaningful insights. Your responsibilities will include assisting in the development of data models, performing statistical analysis, and creating reports and dashboards to communicate findings. You will gain exposure to various analytical tools and programming languages. The ideal candidate is highly analytical, detail-oriented, and possesses a strong quantitative aptitude, coupled with excellent problem-solving skills. A passion for data, a desire to learn new technologies, and the ability to work effectively both independently and as part of a remote team are essential. A recent Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field is required. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) and familiarity with SQL are highly desirable. Prior internship experience in data analysis or a related field is a plus. This program offers an excellent foundation for a career in data analytics, with opportunities for professional development and potential full-time employment upon successful completion. You will be challenged to think critically and contribute to data-driven decision-making processes within the company. We are looking for individuals who are eager to build a career in leveraging data to solve complex business problems.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform statistical analysis and data mining to identify trends and patterns.
- Develop and maintain data models and algorithms.
- Create visualizations and reports to communicate findings effectively.
- Collaborate with senior analysts on data-driven projects.
- Learn and utilize various data analysis tools and software.
- Document data processes and analysis methodologies.
- Contribute to the development of data quality standards.
- Support ad-hoc data requests from various departments.
- Stay updated on the latest trends in data analysis and data science.
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