Research Fellow (Pharmacy and Pharmaceutical Sciences)

NATIONAL UNIVERSITY OF SINGAPORE; Pasir Panjang; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading academic institution in Malaysia is seeking a researcher to collaborate on advanced methodologies in bioprediction. The role includes developing automated testing methods, conducting data analysis with machine learning, and publishing findings. Candidates should hold a PhD in Pharmaceutical Technology and possess expertise in In Vitro Testing and statistical methods. This position offers an opportunity to work in an innovative research environment.

Qualifications

• Required PhD in Pharmaceutical Technology or related field.
• Experience in In Vitro Release Testing is essential.
• Strong skills in statistical methods and machine learning.

Responsibilities

• Develop In Vitro Release Test Methods in automated environments.
• Perform data analysis using machine learning techniques.
• Document and publish research outcomes.

Skills

In Vitro Release Testing

Statistical Methods

Model development & ML

Education

PhD / Pharmaceutical Technology background

Job description

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.

Job Description

The successful candidate will work with Associate Professor Matthias G. Wacker on the Development of In Vitro Release, Machine Learning, and Bioprediction Methodologies.

The main responsibilities of the position include:

- Development of In Vitro Release Test Methods in an Automated or Semiautomated Environment
- Data Analysis Using Machine Learning and Conventional Modeling Techniques
- Documentation and Publication of Research Outcomes

Qualifications

Qualifications / Discipline:
- PhD / Pharmaceutical Technology background

Skills:
- In Vitro Release Testing
- Statistical Methods
- Model development & ML