Junior Scientist, EDDC (Entry-Level, 2-year Contract)

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research organization in Singapore is seeking a motivated entry-level Junior Scientist to support innovative research in high-throughput phenomics. In this laboratory role, the candidate will assist with screening experiments, data management, and collaborate with multidisciplinary teams. The ideal candidate will hold a relevant degree and demonstrate enthusiasm for learning and applied research.

Qualifications

• Basic experience in laboratory techniques preferred.
• Familiarity with laboratory automation systems is a plus.
• Strong written and verbal communication skills required.

Responsibilities

• Assist in high-throughput screening experiments and data collection.
• Perform basic data processing and organize large data sets.
• Follow experimental protocols and contribute to workflow improvements.

Skills

Laboratory techniques

Attention to detail

Collaboration

Communication

Education

Bachelor's or Master's degree in Biotechnology, Life Sciences, or related field

Tools

Statistical software (e.g., R, Python)

Job description

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with academia and industry partners to translate innovations from bench to clinic using cutting-edge, industry-relevant technology platforms. We address complex and emerging challenges in various disease areas through interdisciplinary research. EDDC is currently seeking a highly motivated entry-level Junior Scientist with a strong interest in high-throughput phenomics. The successful candidate will support the implementation of experimental workflows involving high-content screening, automated imaging, and data management, contributing to the generation and organization of phenotypic data to inform early drug discovery efforts.

This is a laboratory-based role that supports cross-functional and collaborative research projects. At EDDC, the successful candidate will join a dynamic, interdisciplinary team focused on integrating high-throughput experimental approaches to advance innovation in biomedical research and therapeutic development.

Responsibilities:

• Experimental Support: Assist in the setup and execution of high-throughput screening experiments, with guidance, particularly using High-Content Screening (HCS) methodologies. Support sample preparation, microscopy, and operation of automated laboratory instruments for routine image acquisition and data collection.
• Data Handling: Perform basic data processing and assist in the organization of large data sets from high-throughput experiments. Apply statistical and computational tools under supervision to support biological data interpretation.
• Protocol Adherence and Improvement: Follow established experimental protocols carefully and contribute observations that may enhance workflow efficiency and assay robustness over time.
• Team Collaboration: Work closely with multidisciplinary teams, providing technical support to ongoing projects. Participate in lab meetings and contribute to the preparation of materials for presentations and reports.
• Learning and Development: Engage proactively in on-the-job training to build expertise in high-throughput phenomics. Stay informed about fundamental concepts and emerging trends relevant to the lab’s research.

Key Requirements:

• Bachelor's or Master's degree in Biotechnology, Life Sciences, or a related field.
• Basic experience in laboratory techniques, ideally with some exposure to microscopy or high-throughput/high-content screening (internship experience will be considered).
• Familiarity with operation of laboratory automation systems.
• Strong attention to detail with a proven ability to maintain comprehensive, accurate, and well-organized laboratory records and experimental documentation.
• Willingness to learn and apply automated image analysis and basic data handling skills.
• Understanding of good laboratory practices and adherence to safety procedures.
• Experience handling biological data sets or introductory knowledge of statistical software (e.g., R, Python) preferred.
• Clear written and verbal communication skills.
• Ability to work effectively within a collaborative team environment and to respond constructively to feedback.