32 Medical Data Collection jobs in Malaysia

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and skin diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are seeking a highly motivated research officer to drive data management, analysis and integration of large-scale and diverse multi-omics (genomics, transcriptomics, proteomics, metabolomics, lipidomics) and clinical data related to cancer and other diseases. The candidate will be expected handle a variety of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop data integration platforms comprising of file catalogues, databases, knowledge graphs and visualization of datasets through interactive dashboards, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine publicly available resources and link up with our datasets. The candidate will also manage and maintain all data based on necessary security requirements. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to a diverse group of stake-holders including clinicians and wet-lab scientists. There are also many opportunities to apply AI/ML to all the tasks and data to drive efficiency and uncover new insights.

Requirements:

• Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Analytics, Engineering, Genetics or a related field.
• Strong programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Highly experienced with Unix/Linux environment and cloud architecture (AWS).
• Familiar with bioinformatics, database development (structured and unstructured, SQL), visualization tools, AI/ML and other big data technologies.
• Experience with large datasets and knowledge in data management and data standards.
• Understanding of biological concepts and methodologies relevant to multi-omics data and cancer.
• Strong analytical and problem-solving skills, and attention to detail.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and work collaboratively in a team environment, with a positive and enthusiastic learning attitude for new methodologies and technologies.
• Competent project management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Crypto Jobs

Type: Full-time, fixed-term (minimum 3 days/week for at least 6 months)

• Handle end-to-end data tasks: engineering, building visualizations, machine learning models, and experiments.
• Analyze and interpret very large datasets (petabyte-scale) related to transactions, operations, and customers.
• Convert complex data insights into clear visuals and actionable recommendations for teams and executives.
• Manage reporting environments, data security, metadata, and troubleshoot database/reporting issues.
• Process sensitive data securely following company guidelines.

• Bachelor’s degree in Computer Science, Math, Statistics, or related fields.
• Strong data engineering skills including ETL and working with APIs.
• Skilled in SQL, GraphQL, Python for data querying and manipulation.
• At least 3 days per week commitment for 6 months.
• Knowledgeable in tokenomics, DeFi, Web3 infrastructure.
• Experience with analytics tools like Dune Analytics and Nansen.
• Good understanding of addressing and metadata standards.
• Excellent written and verbal communication skills.

Crypto Jobs

Job Title: Binance Accelerator Program – Research Data Analyst

Employment Type: Full-Time | Fixed-Term Program

Company Overview:

Binance is the world’s leading blockchain ecosystem and cryptocurrency exchange by trading volume. With over 280 million users globally, Binance is on a mission to drive financial inclusion and empower freedom of money through digital innovation.

Program Overview:

The Binance Accelerator Program (BAP) is a short-term, immersive experience designed for early career professionals and recent graduates. Participants gain hands-on exposure to the fast-evolving Web3 space while building practical skills and growing their professional network.

Role Summary:

As a Research Data Analyst , you’ll work on high-impact projects involving large-scale data analysis, machine learning, and data visualization. This role is perfect for analytical minds eager to contribute to real-world crypto and DeFi innovation.

Key Responsibilities:

• Analyze large datasets (PB-scale) using SQL, Python, GraphQL, Dune Analytics, and Nansen
• Design and manage reporting environments, including data pipelines and metadata
• Translate complex insights into visualizations and strategic recommendations
• Ensure compliance with data security and governance standards

Qualifications:

• Bachelor’s in Computer Science, Math, or related field
• Strong understanding of DeFi/Web3 ecosystems and tokenomics
• Minimum 3-day weekly commitment for at least 6 months
• Excellent written and verbal communication skills

Why Binance:

Shape the future of Web3 while gaining unmatched professional exposure.

Harvest Integrated Research Organization (HiRO) is a globally-oriented, innovative boutique CRO dedicated to elevating cross-border clinical trial pathways. As an emerging global CRO, HiRO collaborates closely with biotech and pharmaceutical companies, aiming to efficiently bridge the gap between laboratory research and market commercialization. Our Team Members are curious and determined, always looking to transform challenges into opportunities. Our mission is to provide cutting-edge and capital-efficient solutions, ultimately benefiting patients worldwide.

Job Title: Data Science Specialist

Location: Menara Boustead，Penang，Malaysia

Job Overview：

Serve in entry-level capacity on a Clinical Data Management and Clinical Data Programming team to provide efficient, quality data management and programming services that meet customer needs.

Qualifications

• 0 - 1 years of experience including clinical trials experience in a function similar to DM or Programming. Equivalent combination of education, training and experience.

• Excellent organizational, communication and computer skills required.

• Ability to exercise excellent attention to detail.

• Aptitude for mathematical calculations

• Ability to act independently and with initiative required to resolving problems.

• Ability to establish and maintain effective working relationships with coworkers, managers and clients.

Essential Functions：

• Conduct basic data review.

• Write & Resolve data clarifications with guidance from senior staff.

• Conduct basic quality control procedures.

• Plan and coordinate database design, development, implementation, maintenance, and user support of clinical systems with guidance from senior staff.

• Program, test, and document databases in accordance with programming standards and validation procedures with guidance from senior staff.

• Program database manipulation and transfers of data for internal and external clients with guidance from senior staff.

• Perform and plan: (i) the programming, testing, and documentation of programs for use in creating statistical tables and listing summaries, (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients and (iii) the programming of database quality control checks.

• May program the integration of databases from multiple studies or sources, under supervision.

• Develop programming documentation including specifications, as appropriate, under supervision.

• Provide advanced technical expertise in conjunction with internal and external clients, and bring project solutions to teams and department, under supervision.

• Develop, implement and validate new process technologies, macros and applications under supervision.

• Understand basic database structures.

• Meet personal project objectives, as assigned by manager.

• Meet objectives as assigned and interact with the project team to organize timelines, responsibilities and deliverables.

• Escalate problems to the attention of the Data Science Project Lead or Manager.

• Understand and comply with core operating procedures and working instructions.

• Understand, provide input to and comply with all applicable sections of Project Plan & Specification.

• Develop and maintain good communications and working relationships with Data Science team.

Language Skills

Excellent English written and oral communication skills.

Chinese-English bilingual

Education Required

Bachelor or Above; Pharmacy, medical, nursing, life sciences, statistics, computer science or related field qualification or educational equivalent

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Applications are invited for a postdoctoral research position in the Department of Physics at the National University of Singapore, in the research group of Assistant Professor Marc Hon. The successful candidate will develop and apply modern machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy.

Research directions will be flexible and shaped according to mutual interests. Potential areas include — but are not limited to — stellar variability, exoplanets, transient phenomena, and the discovery of new astrophysical events. Projects may make extensive use of archival data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is expected, and familiarity with modern machine learning methods will be considered an asset.

NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance.

• Qualifications/ Discipline: PhD in Physics, Data Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline.

• Skills:

- Strong analytical and computational skills in data science, statistical analysis, or machine learning.

- Proficiency with Python and data analysis frameworks.

- Familiarity with large, complex datasets and modern computational techniques.

- Good written and oral scientific communication skills.

• Experience:

- Demonstrated experience conducting independent research involving the analysis of large datasets.

- Familiarity with modern machine learning methodologies is strongly desirable.

- A publication record demonstrating relevant skills in astronomy, astrophysics, physics, computer science, or related field

Applicants should submit a cover letter outlining their research interests and relevant experience, a curriculum vitae including a full list of publications, and a brief (2-3 page) description of research interests, and the contact information of three referees who can provide letters of recommendation.