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Reseach Conductor

FGV Holdings Berhad

Kuala Lumpur

On-site

MYR 100,000 - 150,000

Full time

2 days ago
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Job summary

A leading agricultural firm in Kuala Lumpur is seeking a Research Data Manager to supervise data management and analysis for breeding trials. The role involves overseeing data submission, processing, and statistical analysis while maintaining standards and accuracy in collaboration with field teams and researchers. Candidates should have a diploma in Agriculture or related fields, with 3–5 years of relevant experience and proficiency in statistical software and Microsoft Excel.

Qualifications

  • Minimum 3–5 years of experience in research data management, preferably in agricultural or plantation R&D.
  • Strong organisational and supervisory skills with attention to detail and data accuracy.
  • Ability to work collaboratively with field teams, researchers, and management.

Responsibilities

  • Supervise data submission from field operations for accuracy.
  • Gather and organize relevant trial information during replanting.
  • Manage breeding data, reports, and records.
  • Prepare and compile processed data sets and summaries.

Skills

Data management
Attention to detail
Statistical analysis
Team collaboration

Education

Diploma in Agriculture, Statistics, or Data Science

Tools

Microsoft Excel
Statistical software (e.g., R, SAS)
Job description

FGV Holdings Berhad is Malaysia’s leading global agri‑business and the world’s largest producer of Crude Palm Oil (CPO). FGV’s operations stretch across more than 10 countries in Asia, the Middle East, North America and Europe, and are focused on three main business sectors namely Plantation Sector, Logistics & Support Business (LSB) Sector and Sugar Sector. FGV is the world’s third biggest oil palm plantation operator, has the world’s largest bulking and storage facilities for vegetable oil and is Malaysia’s top refined sugar producer.

In line with our business expansion, we would like to invite qualified candidates to fill the following position at FGV R&D Sdn Bhd.

Job Description
Job Purpose

To supervise and coordinate the collection, organization, processing, and analysis of breeding research data to ensure data integrity, accuracy, and timely delivery in support of breeding trials, germplasm evaluation, and replanting programs.

Research Data Management
  • Supervise and verify data submission from field operations to ensure completeness and accuracy.
  • Gather and organize all relevant trial information, including maps and Panduan Tanaman, during the replanting process.
  • Maintain and manage breeding data, reports, and records in the designated data storage room.
  • Collect and update information on germplasm and mother palms from field operations for database integration.
  • Provide support services by supplying requested data, reports, or summaries to researchers and management.
  • Plan and coordinate sampling schedules and related logistics with the field operation team to ensure efficient data collection.
Research Data Processing & Analysis
  • Supervise data entry, verification, and quality control to ensure accuracy and standardisation of breeding data.
  • Manage data storage, backup, and database updates in line with R&D data management protocols.
  • Oversee monthly and annual data processing and statistical analysis in collaboration with researchers.
  • Prepare and compile processed data sets, summaries, and preliminary analysis results for researcher review and reporting.
  • Recommend improvements to data management workflows to enhance efficiency, reliability, and traceability.
Qualifications & Requirements
  • Diploma in Agriculture, Statistics, Data Science, or related field.
  • Minimum 3–5 years of experience in research data management, preferably in agricultural or plantation R&D.
  • Proficient in Microsoft Excel, statistical software (e.g., R, SAS), and database systems.
  • Strong organisational and supervisory skills with attention to detail and data accuracy.
  • Ability to work collaboratively with field teams, researchers, and management.
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