72 Research Manager jobs in Vietnam
Remote Scientific Research Assistant
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Responsibilities:
- Conduct comprehensive literature reviews on assigned research topics.
- Assist in the design and execution of scientific experiments and studies.
- Collect, organize, and analyze research data using statistical software and tools.
- Maintain detailed and accurate laboratory notebooks or digital records.
- Prepare summaries, reports, and presentations of research findings.
- Collaborate with senior researchers and scientists on project objectives.
- Contribute to the development of research methodologies and protocols.
- Ensure adherence to research ethics and safety guidelines.
- Manage and maintain research databases and archives.
- Assist in the preparation of manuscripts for publication or conference presentations.
- Perform qualitative and quantitative data analysis.
- Identify potential research challenges and propose solutions.
- Stay updated with the latest scientific advancements and relevant research.
- Support grant writing efforts by gathering necessary information.
- Ensure the integrity and validity of research data.
Qualifications:
- Strong academic background in a scientific discipline (e.g., Biology, Chemistry, Physics, Computer Science, Data Science).
- Proficiency in data analysis tools and statistical software (e.g., R, Python, SPSS).
- Experience with scientific literature databases and search techniques.
- Excellent written and verbal communication skills for scientific reporting.
- Detail-oriented with a high level of accuracy and precision.
- Strong critical thinking and problem-solving abilities.
- Ability to work independently and manage time effectively in a remote environment.
- Familiarity with research methodologies and scientific principles.
- Bachelor's or Master's degree in a relevant scientific field.
- Proactive and motivated to contribute to scientific discovery.
- Experience with data visualization techniques is a plus.
- Ability to troubleshoot and adapt to changing research needs.
This is an exceptional opportunity to gain valuable research experience and contribute meaningfully to scientific progress within a supportive and intellectually stimulating remote setting. Apply today to become part of our innovative research community!
Senior Scientific Research Analyst
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Key Responsibilities:
- Conduct comprehensive literature reviews and database searches on specific scientific topics.
- Analyze experimental data using statistical methods and visualization tools.
- Identify trends, patterns, and significant findings within large datasets.
- Evaluate the scientific merit and feasibility of research proposals and methodologies.
- Collaborate with researchers and scientists to interpret results and develop further research directions.
- Prepare detailed technical reports, summaries, and presentations of findings.
- Contribute to the design of new experiments and research protocols.
- Maintain an up-to-date understanding of relevant scientific fields and emerging technologies.
- Ensure the accuracy and integrity of data analysis and reporting.
- Assist in the grant writing process by providing relevant scientific background and data.
- Participate in cross-functional team meetings and contribute scientific expertise.
- A Master's or Ph.D. degree in a scientific discipline such as Biology, Chemistry, Physics, Biotechnology, or a related field.
- A minimum of 5 years of experience in scientific research or data analysis.
- Proven ability to conduct rigorous scientific research and analysis.
- Proficiency in statistical analysis software (e.g., R, SPSS, SAS) and data visualization tools.
- Strong understanding of scientific methodologies and experimental design.
- Excellent critical thinking, problem-solving, and analytical skills.
- Exceptional written and verbal communication skills, with the ability to clearly articulate complex scientific concepts.
- Experience working in a hybrid work environment and effectively managing tasks remotely.
- Ability to work independently and as part of a collaborative team.
- Strong organizational skills and attention to detail.
Senior Data Scientist - Scientific Research
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The Senior Data Scientist will collaborate closely with researchers, domain experts, and engineers to understand research objectives, identify relevant data sources, and formulate analytical approaches. You will translate complex scientific questions into data analysis tasks and communicate findings effectively to both technical and non-technical audiences through clear visualizations and reports. This position involves staying abreast of the latest advancements in data science, machine learning, and relevant scientific fields, and applying these to enhance research methodologies. You will also contribute to the development of data infrastructure and best practices within the R&D department.
The ideal candidate will possess a Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Physics, Biology, or a related quantitative field, with a minimum of 5 years of experience in data science, particularly within a research or academic setting. Expertise in programming languages such as Python or R, and proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) are essential. Strong experience with SQL, big data technologies (e.g., Spark, Hadoop), and data visualization tools is highly desirable. Excellent analytical, problem-solving, and communication skills are required. The ability to work independently and collaboratively in a research-intensive environment is crucial. This is an exceptional opportunity to contribute to groundbreaking scientific research.
- Data Science
- Machine Learning
- Statistical Analysis
- Scientific Research
- Big Data
Remote Senior Scientific Research Scientist
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Responsibilities:
- Design, conduct, and analyze complex scientific experiments in a specific field.
- Develop and implement novel research methodologies and protocols.
- Interpret experimental data, draw conclusions, and formulate hypotheses for further investigation.
- Lead research projects, manage timelines, and mentor junior scientists.
- Collaborate with cross-functional teams to integrate research findings into product development.
- Author scientific papers for peer-reviewed journals and present findings at conferences.
- Contribute to the preparation of grant proposals and patent applications.
- Stay abreast of the latest scientific advancements and emerging trends in the field.
- Maintain accurate and detailed research records and documentation.
- Ensure compliance with all relevant ethical and safety standards in research.
Qualifications:
- Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Materials Science, Computer Science).
- Minimum of 5 years of post-doctoral or industry research experience.
- Proven track record of leading successful research projects and delivering impactful results.
- Extensive experience with experimental design, data analysis, and scientific interpretation.
- Strong publication record in high-impact scientific journals.
- Excellent written and verbal communication skills, with the ability to present complex information clearly.
- Proficiency in relevant scientific software and data analysis tools.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Strong collaborative spirit and experience working in multidisciplinary teams.
- Demonstrated ability to think critically and creatively to solve complex scientific problems.
Remote Senior Scientific Research Analyst
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Responsibilities:
- Design and implement research studies and methodologies.
- Conduct comprehensive literature reviews and market analysis in relevant scientific fields.
- Collect, clean, and analyze large, complex scientific datasets.
- Utilize statistical software and data visualization tools to interpret findings.
- Identify emerging scientific trends, opportunities, and potential risks.
- Develop data-driven insights and recommendations for R&D strategy.
- Prepare detailed research reports, presentations, and white papers.
- Collaborate with scientific teams to support project objectives.
- Communicate complex scientific information effectively to diverse audiences.
- Stay updated on scientific advancements and research best practices.
- Ph.D. or Master's degree in a scientific or technical field (e.g., Biology, Chemistry, Physics, Engineering, Data Science).
- Minimum of 5 years of experience in scientific research, data analysis, or a related analytical role.
- Demonstrated expertise in research design and methodology.
- Advanced proficiency in statistical analysis software (e.g., R, Python, SPSS, SAS).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of scientific databases and information retrieval systems.
- Excellent critical thinking, analytical, and problem-solving skills.
- Exceptional written and verbal communication skills.
- Ability to work independently and manage multiple research projects concurrently.
- Proven ability to translate complex data into understandable insights.
Senior Data Scientist (Scientific Research)
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Key Responsibilities:
- Design and implement statistical models and machine learning algorithms to analyze large, complex datasets.
- Develop predictive models and forecasting tools to support research objectives.
- Clean, transform, and prepare data for analysis, ensuring data integrity and accuracy.
- Visualize data and communicate findings effectively to technical and non-technical stakeholders.
- Collaborate with researchers, engineers, and domain experts to identify key research questions and data needs.
- Stay current with the latest advancements in data science, machine learning, and statistical modeling.
- Develop and maintain data pipelines and infrastructure for efficient data processing.
- Evaluate and implement new analytical tools and technologies.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Present research findings and recommendations to senior management and project teams.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Proven experience as a Data Scientist, with a strong portfolio of successful projects.
- Expertise in statistical analysis, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and associated libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Familiarity with big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience in scientific research or R&D environments is highly desirable.
- Ability to work independently and collaboratively within a research team.
This is a premier opportunity to contribute to groundbreaking scientific advancements in a leading research institution located in **Bien Hoa, Dong Nai, VN**. If you are passionate about leveraging data to solve complex scientific challenges, we encourage you to apply.
Research Manager (Public Health) - Vietnam
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SwipeRx is a fast-growing, venture-backed, public health focused technology company whose mission is to empower pharmacies to operate more efficiently and more effectively to improve client health outcomes and strengthen health systems. We are a team of more than 400 smart and driven people operating across Southeast Asia. We work with the worlds’ leading pharmaceutical companies as well as global health partners and national professional associations to improve quality of care at the pharmacy. Through our global health partnerships -supported by the World Health Organization, USAID, the Global Fund, the Bill and Melinda Gates Foundation and others-we are increasing pharmacy contributions to family planning, tuberculosis, COVID-19, non-communicable diseases and HIV. We conduct digital surveys through the SwipeRx platform to inform and assess digital pharmacy engagement efforts.
**Your Role**
- Set and oversee compliance with standards of excellence for all SwipeRx research and monitoring activities related to our public health programming.
- Lead the development of research protocols, questionnaires, analysis plans, and monitoring reports to ensure alignment with standards of excellence for public health.
- Develop guidance and templates for digital professional education and post-education quality improvement tools to improve alignment with digital learning best practices.
- Write high-quality reports, manuscripts and slide decks summarizing research and monitoring findings as well as implications for future SwipeRx programming.
**Your Qualifications**
- Master of Public Health and at least 4-6 years experience designing and analyzing public health research.
- Exceptional English writing skills are essential.
- Experience using Stata quantitative analysis tools is required.
- Publication in peer-reviewed public health journal.
- Based in Southeast Asia and legally authorized to work in the region.
- Experience leading the design of digital monitoring tools and analysis of digital monitoring data is an added advantage.
- Experience assessing digital health worker engagement is an added advantage.
- Demonstrated quantitative research methodology and analysis expertise, with qualitative expertise is an added advantage.
**What You Can Expect from Us**
- Opportunity to expand the evidence-base and publications relevant to digital health and pharmacy engagement in Southeast Asia.
- Work regionally across Southeast Asia and contribute to research projects addressing a variety of public health issues.
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Graduate Trainee - Data Analysis
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- Assist in data collection, extraction, and cleaning from various sources.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and maintain reports and interactive dashboards using business intelligence tools.
- Support senior analysts in analyzing complex datasets and generating insights.
- Assist in the development of data models and analytical solutions.
- Learn and apply statistical methods for data analysis.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members to understand data requirements and deliver findings.
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Contribute to documentation of data processes and analytical methodologies.
- Support the team in presenting data findings to stakeholders.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel is essential.
- Familiarity with data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), or R is a significant advantage.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent attention to detail and commitment to data accuracy.
- Strong communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data analysis and business intelligence.
Apprenticeship in Data Analysis
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Remote Geoscientist - Data Analysis
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Qualifications:
- Master's degree or Ph.D. in Geoscience, Geology, Geophysics, or a related field with a strong emphasis on data analysis.
- Minimum of 5 years of professional experience in geological data analysis, interpretation, and modeling.
- Proficiency in geological software packages (e.g., Petrel, Leapfrog, ArcGIS) and data analysis tools.
- Strong programming skills in Python or R for data manipulation and analysis.
- Excellent understanding of geological principles and exploration techniques.
- Proven ability to work independently and manage projects remotely.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Demonstrated experience in report writing and presentation of technical data.