24 Medical Data Collection jobs in Vietnam
Research Scientist - Data Analytics
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and correlations.
- Develop and implement statistical models, machine learning algorithms, and data mining techniques.
- Design and execute experiments to test hypotheses and validate findings.
- Create compelling data visualizations and dashboards to communicate insights effectively to both technical and non-technical audiences.
- Collaborate with stakeholders to understand business needs and translate them into analytical requirements.
- Develop predictive models to forecast future outcomes and support strategic planning.
- Stay current with the latest advancements in data analytics, machine learning, and statistical methods.
- Document research methodologies, findings, and recommendations.
- Contribute to the development of the company's data science capabilities and best practices.
- Mentor junior analysts and contribute to a culture of data-driven decision-making.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 3 years of experience in data analysis, statistical modeling, or machine learning.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Experience with database management systems and SQL.
- Strong knowledge of statistical concepts and machine learning algorithms.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively in a collaborative, team-oriented environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Must be able to work on-site in Can Tho, Can Tho, VN .
Be part of a team that transforms data into knowledge and innovation!
Clinical Data Team Lead

Posted 13 days ago
Job Viewed
Job Description
Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction. Provide comprehensive data management expertise to Data Management (DM) team to provide high quality data management products that meet customer needs. Provide leadership to the team in the areas of project planning, execution, and close-out; Overview of financial management for data management activities; communications; and milestone deliverables. Perform role of Data Team Lead (DTL).
**Essential Functions**
+ Gather Study Set up requirements through discussion and communication with relevant stakeholders.
+ With Minimal guidance - support, overview of validation of new Device integrations.
+ Oversight & Perform regular Data cleaning activities to ensure clean data with quality and timely deliverables to sponsor.
+ Ensure that all the deliverables are of expected quality standards and meet customer expectations.
+ With guidance, ensure service and quality meet agreed upon timelines and deliverables in contract/Scope of Work (SOW).
+ Support Training of New joiners.
+ Lead internal study meetings and internal/ sponsor audits and participate in Study Kick off meetings and other sponsor meetings.
+ Tracks and manages the projects, oversee project progress, identify risks and take corrective action to rectify any errors as recommended as required.
+ With Guidance manage & oversight the implementation of new technology / database revisions.
+ Work closely with the programming team for process innovation and automation.
+ Be compliant to trainings and eSOP reading.
+ Provide review and expert opinion in developing, revising, and maintaining core operating procedures and working instructions.
+ Communication with Line Manager, and other team members across functions should be collaborative.
+ Perform other duties as directed by Line Manager.
Qualifications
+ Bachelor's Degree in Health, Clinical, Biological or Mathematical Sciences, or related field with proven experience in Data Management
+ 3 -4 years direct data management experience, including a minimum of 1 year as a CDM project lead.
+ Good written and communication skills in English
+ Advanced computer applications like Microsoft Excel, Word, Inbox etc.
+ Advanced understanding of drug development lifecycle and Overall Clinical research process
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Clinical Data Team Lead

Posted 13 days ago
Job Viewed
Job Description
Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction. Provide comprehensive data management expertise to Data Management (DM) team to provide high quality data management products that meet customer needs. Provide leadership to the team in the areas of project planning, execution, and close-out; Overview of financial management for data management activities; communications; and milestone deliverables. Perform role of Data Team Lead (DTL).
**Essential Functions**
+ Gather Study Set up requirements through discussion and communication with relevant stakeholders.
+ With Minimal guidance - support, overview of validation of new Device integrations.
+ Oversight & Perform regular Data cleaning activities to ensure clean data with quality and timely deliverables to sponsor.
+ Ensure that all the deliverables are of expected quality standards and meet customer expectations.
+ With guidance, ensure service and quality meet agreed upon timelines and deliverables in contract/Scope of Work (SOW).
+ Support Training of New joiners.
+ Lead internal study meetings and internal/ sponsor audits and participate in Study Kick off meetings and other sponsor meetings.
+ Tracks and manages the projects, oversee project progress, identify risks and take corrective action to rectify any errors as recommended as required.
+ With Guidance manage & oversight the implementation of new technology / database revisions.
+ Work closely with the programming team for process innovation and automation.
+ Be compliant to trainings and eSOP reading.
+ Provide review and expert opinion in developing, revising, and maintaining core operating procedures and working instructions.
+ Communication with Line Manager, and other team members across functions should be collaborative.
+ Perform other duties as directed by Line Manager.
Qualifications
+ Bachelor's Degree in Health, Clinical, Biological or Mathematical Sciences, or related field with proven experience in Data Management
+ 3 -4 years direct data management experience, including a minimum of 1 year as a CDM project lead.
+ Good written and communication skills in English
+ Advanced computer applications like Microsoft Excel, Word, Inbox etc.
+ Advanced understanding of drug development lifecycle and Overall Clinical research process
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Remote Senior Research Scientist - Data Analytics
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design and implement sophisticated data analysis strategies to extract meaningful insights from large, complex datasets related to various scientific domains.
- Develop, validate, and deploy machine learning models and statistical algorithms for prediction, classification, and pattern recognition.
- Conduct rigorous statistical testing and hypothesis validation to support research objectives.
- Visualize data and model results using advanced techniques to communicate findings effectively to both technical and non-technical stakeholders.
- Collaborate closely with cross-functional teams, including researchers, engineers, and project managers, to define analytical requirements and deliver solutions.
- Stay current with the latest advancements in data science, machine learning, and relevant scientific fields, identifying opportunities for innovation.
- Contribute to the development of research proposals and publications, presenting findings at scientific conferences and in peer-reviewed journals.
- Ensure the integrity, accuracy, and security of data throughout the analysis lifecycle.
- Mentor junior data scientists and provide technical guidance to the research team.
- Maintain comprehensive documentation of methodologies, code, and results.
Required Qualifications:
- Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, Physics, Bioinformatics, or a closely related quantitative field.
- Minimum of 7 years of experience in data analysis, statistical modeling, and machine learning, preferably within a research and development setting.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Expertise in SQL and experience working with large databases.
- Strong understanding of experimental design, hypothesis testing, and various statistical methods.
- Demonstrated experience with cloud computing platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving skills and the ability to think critically and creatively.
- Exceptional written and verbal communication skills, with the ability to clearly articulate complex technical concepts.
- Proven ability to work independently and collaboratively in a remote team environment.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
This role offers a competitive salary, excellent benefits, and the flexibility to work from anywhere. If you are a passionate scientist eager to push the boundaries of research through data-driven insights, we encourage you to apply.
Remote Graduate Research Assistant (Data Science)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing datasets for analysis.
- Perform statistical analysis and develop predictive models.
- Visualize data to identify trends and patterns.
- Collaborate with researchers on data-driven projects.
- Document methodologies and findings clearly.
- Utilize programming languages (Python, R) for data manipulation and analysis.
- Stay updated on emerging data science techniques and tools.
- Contribute to research reports and presentations.
Qualifications:
- Currently pursuing a Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Math, etc.).
- Strong foundation in data science, machine learning, and statistical modeling.
- Proficiency in programming languages like Python or R.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and contribute to research projects.
Pharmaceutical Clinical Trial Data Manager
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Manage the setup and maintenance of clinical trial databases.
- Develop and implement data management plans.
- Oversee data validation and query resolution processes.
- Ensure compliance with GCP and regulatory guidelines.
- Collaborate with clinical study teams on data-related issues.
- Perform data analysis and prepare data reports.
- Conduct user acceptance testing (UAT) for EDC systems.
- Contribute to the development of data standards and best practices.
- Proven experience as a Clinical Data Manager in the pharmaceutical industry.
- In-depth knowledge of EDC systems (e.g., Medidata Rave, Inform).
- Understanding of clinical trial phases and regulatory requirements (e.g., FDA, EMA).
- Proficiency in database management and data validation techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal abilities.
- Bachelor's degree in Life Sciences, Computer Science, Statistics, or a related field.
Junior Data Entry Apprentice
Posted today
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Job Description
We are looking for candidates who are highly organized, possess excellent typing skills, and have a foundational understanding of computer systems. While prior experience is not essential, a proactive attitude and a willingness to embrace new technologies are highly valued. You should be comfortable working independently, managing your time effectively, and communicating clearly through digital channels. This apprenticeship offers a structured learning path, providing you with the skills and knowledge necessary to excel in the field of data administration. Our client is dedicated to fostering a collaborative and inclusive remote workplace, offering continuous mentorship and opportunities for professional development. If you are eager to build a solid foundation in data entry and management, and thrive in a virtual setting, we encourage you to apply for this exciting opportunity. The ideal candidate will demonstrate reliability, efficiency, and a commitment to upholding data standards. This is an excellent chance to gain practical experience and develop valuable career skills from the comfort of your home.
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Senior Data Scientist - Scientific Research
Posted today
Job Viewed
Job Description
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
Senior Data Scientist (Scientific Research)
Posted today
Job Viewed
Job Description
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.
Senior Data Scientist - Biomedical Research
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Analyze large-scale biomedical datasets (genomics, proteomics, clinical, imaging) using advanced statistical and machine learning techniques.
- Develop and implement predictive models for disease diagnosis, prognosis, and treatment response.
- Design and execute data mining and feature engineering processes for biological data.
- Collaborate with research teams to define data analysis strategies and research questions.
- Create clear and effective data visualizations to communicate complex findings.
- Stay abreast of the latest advancements in bioinformatics, data science, and machine learning in the biomedical field.
- Contribute to the development of new analytical methods and tools.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Ensure data integrity, quality, and compliance with ethical standards and regulations.
- Mentor junior data scientists and provide technical guidance.
- Develop reproducible research workflows and document methodologies thoroughly.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field with a focus on biological data.
- Minimum of 5 years of experience in data science, with a significant focus on biomedical or health-related research.
- Expertise in statistical modeling, machine learning, and deep learning algorithms applied to biological data.
- Proficiency in Python or R, and relevant libraries (e.g., pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch).
- Experience with bioinformatics tools and databases (e.g., NCBI, Ensembl, GATK).
- Strong understanding of biological concepts relevant to the research area.
- Excellent analytical, critical thinking, and problem-solving skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong communication and interpersonal skills for effective collaboration.
- Experience with big data technologies (e.g., Spark) and cloud platforms (AWS, GCP) is a plus.