104 Research Manager jobs in Bahrain
Lead Scientific Research Analyst
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Senior Scientific Research Analyst
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Key responsibilities include:
- Designing, executing, and optimizing scientific experiments and research protocols.
- Analyzing complex datasets using statistical and computational methods.
- Interpreting experimental results and drawing scientifically valid conclusions.
- Writing comprehensive research reports and preparing manuscripts for publication.
- Collaborating with other researchers, scientists, and technical staff.
- Maintaining accurate and detailed laboratory records.
- Staying current with the latest scientific literature and advancements in the field.
- Operating and maintaining specialized laboratory equipment.
- Presenting research findings at scientific conferences and internal meetings.
Remote Data Scientist - Scientific Research
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As a key member of our remote R&D team, you will collaborate with leading scientists, researchers, and domain experts across the globe. You will leverage state-of-the-art tools and techniques to tackle complex problems, visualize data effectively, and communicate your findings clearly to both technical and non-technical audiences. Your work will directly impact the direction and success of our research initiatives.
Key Responsibilities:
- Design and implement data analysis strategies to extract meaningful insights from large and complex scientific datasets.
- Develop, train, and validate machine learning models for prediction, classification, clustering, and anomaly detection.
- Utilize statistical methods and programming languages (e.g., Python, R) to perform advanced data manipulation and analysis.
- Create compelling data visualizations to communicate findings and trends effectively to stakeholders.
- Collaborate with research scientists to understand their data needs and translate scientific questions into analytical tasks.
- Identify opportunities for improving data quality, collection processes, and analytical methodologies.
- Stay current with the latest advancements in data science, machine learning, and scientific research fields.
- Document methodologies, code, and findings thoroughly for reproducibility and knowledge sharing.
- Present research findings and analytical results to internal teams and at conferences.
- Contribute to the development of research proposals and grant applications by providing data-driven evidence.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Proven experience as a Data Scientist with a focus on scientific research projects.
- Strong proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Strong analytical, problem-solving, and critical-thinking abilities.
- Exceptional written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Demonstrated ability to work independently and collaboratively in a remote setting.
Lead Scientific Research Scientist (Biotechnology)
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Senior Scientific Research Fellow - Biotechnology
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Key responsibilities include designing and conducting complex experiments, analyzing and interpreting scientific data, and developing novel research methodologies. You will be responsible for troubleshooting experimental challenges, optimizing protocols, and ensuring the accuracy and reproducibility of results. The Senior Research Fellow will also be tasked with writing grant proposals, securing funding, and preparing manuscripts for publication in high-impact scientific journals. Mentoring and supervising junior researchers, postdoctoral fellows, and technical staff is a crucial aspect of this role, fostering a collaborative and intellectually stimulating research environment. You will present research findings at national and international conferences, actively engaging with the broader scientific community. Staying abreast of the latest advancements in biotechnology and related fields, and identifying new research avenues that align with the institution's strategic goals are also integral.
The successful candidate must demonstrate exceptional scientific rigor, creativity, and critical thinking skills. A deep understanding of relevant biological techniques and instrumentation is essential. Strong project management capabilities, the ability to work independently, and excellent written and verbal communication skills are paramount. Experience in managing laboratory operations and ensuring compliance with safety and ethical guidelines is also required.
Qualifications:
- Ph.D. in Biotechnology, Molecular Biology, Genetics, or a closely related field.
- Minimum of 5 years of postdoctoral research experience with a focus on biotechnology applications.
- Exceptional publication record in peer-reviewed journals.
- Demonstrated success in obtaining research grants and funding.
- Expertise in advanced molecular biology techniques, including CRISPR, next-generation sequencing, and mammalian cell culture.
- Proven ability to lead research projects and mentor junior scientists.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills for scientific reporting and presentations.
- Experience with bioinformatics tools and data analysis software is advantageous.
Research Manager for Healthcare Services
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- This includes: developing relationships with key funders, authorities, government sectors, partners and decision-makers; generating income and business development opportunities; leading a research and development program in accordance with the strategic plan; ensuring the quality and delivery of programs and projects; and ensuring that our work contributes to policy and practice.
Qualification:
- Bachelor Degree in any medical field/healthcare
- Minimum 5 years of experience in research
**Education**:
- Bachelor's (preferred)
**Experience**:
- Healthcare: 5 years (preferred)
License/Certification:
- NHRA license (preferred)
Senior Materials Scientist - Scientific Research & Development
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- Leading research projects in the design, synthesis, and characterization of novel materials.
- Developing and optimizing new materials processing techniques.
- Utilizing advanced analytical instrumentation to evaluate material properties and performance.
- Interpreting complex experimental data and drawing scientifically sound conclusions.
- Collaborating with engineering teams to translate materials innovations into practical applications.
- Authoring high-quality scientific publications and presenting research findings at conferences.
- Mentoring junior scientists and postdoctoral researchers.
- Managing laboratory equipment and ensuring a safe working environment.
- Contributing to grant proposals and seeking external funding opportunities.
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Graduate Trainee - Data Analysis
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Graduate Trainee - Data Analysis
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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.
Graduate Trainee - Data Analysis
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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.