464 Research And Development Engineer jobs in Bahrain
Scientific Research Assistant
Posted 1 day ago
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Lead Scientific Research Analyst
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Remote Scientific Research Assistant
Posted 1 day ago
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Qualifications:
- Bachelor's degree in Biology, Chemistry, Physics, or a related scientific field.
- Proven experience in a research or laboratory setting.
- Strong understanding of scientific research principles and methodologies.
- Proficiency in data collection, analysis, and scientific writing.
- Familiarity with statistical software (e.g., R, SPSS) and research databases.
- Excellent organizational skills and meticulous attention to detail.
- Ability to work independently and collaboratively in a remote setting.
- Strong written and verbal communication skills.
Senior Scientific Research Manager
Posted 1 day ago
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Lead Scientific Research Analyst
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Senior Scientific Research Analyst
Posted 1 day ago
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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.
Senior Scientific Research Scientist - Biotechnology
Posted today
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Responsibilities:
- Design, conduct, and interpret complex scientific experiments.
- Develop and optimize new research methodologies and protocols.
- Analyze experimental data using advanced statistical and bioinformatic tools.
- Troubleshoot technical issues and provide solutions for experimental challenges.
- Lead research projects from conception to completion.
- Mentor and guide junior research staff.
- Contribute to the preparation of scientific publications and presentations.
- Collaborate with internal and external research partners.
- Ensure adherence to laboratory safety protocols and good laboratory practices.
- Contribute to the development of research proposals and grant applications.
Qualifications:
- Ph.D. in Molecular Biology, Biochemistry, Pharmacology, or a related life science field.
- Minimum of 5 years of postdoctoral or industry research experience.
- Demonstrated expertise in a specific area of biotechnology (e.g., gene editing, protein engineering, drug discovery).
- Proven track record of scientific publications in peer-reviewed journals.
- Strong analytical, critical thinking, and problem-solving skills.
- Proficiency in relevant laboratory techniques and instrumentation.
- Excellent oral and written communication skills.
- Experience with data analysis software and statistical methods.
- Ability to manage multiple projects and prioritize tasks effectively.
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Junior Data Analyst - Scientific Research
Posted 1 day ago
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Key Responsibilities:
- Assisting in the collection, organization, and management of scientific datasets from various sources.
- Performing data cleaning and preprocessing to ensure data accuracy and integrity.
- Conducting preliminary statistical analyses to identify trends and patterns in research data.
- Creating clear and informative data visualizations, charts, and graphs to present findings.
- Supporting the research team in interpreting data and generating reports.
- Utilizing statistical software and programming languages (e.g., R, Python, SQL) for data analysis tasks.
- Collaborating with researchers to understand data requirements and project objectives.
- Maintaining accurate documentation of data sources, methodologies, and analysis steps.
- Assisting in the preparation of presentations and research publications.
- Learning and applying new data analysis tools and techniques as required by research projects.
This hybrid position requires some on-site presence in **Seef, Capital, BH**, while also offering the flexibility of remote work. If you are a proactive individual passionate about data and science, seeking to kickstart your career in research data analysis, we encourage you to apply.
Lead Scientific Research Data Scientist
Posted 1 day ago
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Key Responsibilities:
- Lead and mentor a team of data scientists in the design and execution of data analysis projects.
- Develop and implement advanced statistical models and machine learning algorithms for scientific data.
- Collaborate closely with researchers to understand their data needs and design appropriate analytical approaches.
- Process, clean, and transform large and complex scientific datasets from diverse sources.
- Visualize and communicate complex data findings effectively to both technical and non-technical audiences.
- Identify opportunities to apply novel data science techniques to solve challenging research problems.
- Develop and maintain robust data pipelines and analytical workflows.
- Contribute to the publication of research findings in peer-reviewed journals and present at scientific conferences.
- Ensure data integrity, reproducibility, and compliance with ethical standards.
- Stay abreast of the latest advancements in data science, machine learning, and scientific computing.
- Ph.D. or Master's degree in Computer Science, Statistics, Physics, Biology, Bioinformatics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant portion dedicated to scientific research.
- Demonstrated experience in leading data science teams and managing research projects.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP).
- Excellent data visualization skills using tools like Matplotlib, Seaborn, or Tableau.
- Strong analytical and problem-solving abilities with a critical thinking mindset.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively in a remote setting.
- Proven track record of contributing to scientific publications or projects.
Remote Data Scientist - Scientific Research
Posted 1 day ago
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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.