Bioanalytical Intern: DOE-Driven Method Optimization

MSD Malaysia; Northern (KY); Hybrid; USD 39,000 - 111,000; Full time

Job summary

Our Company is offering a 10–12 week internship in Bioanalytical Sciences within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) division. The project focuses on developing a DOE-guided decision tree to optimize bioanalytical method development and create a practical, data-driven framework for robust assays.

The intern will review workflows, identify key variables, and organize them into a structured screening framework, delivering a final decision tree and an analysis

Qualifications

• Enrolled full-time in a PhD program in Biochemistry, Chemistry, Pharmaceutical Sciences or related life science field.
• Must have a minimum GPA of 3.0.
• Must be enrolled full-time in Fall semester after internship.
• Must be able to complete 10–12 consecutive weeks between May and August 2027.
• Must have basic laboratory skills and experience with ligand binding assay.

Responsibilities

• Think critically and approach challenges with a solution-oriented mindset.
• Analyze experimental and operational bioanalytical datasets.
• Support development of automated tools for data review, visualization, and reporting.
• Assist with assay performance investigations and trend analyses.
• Prepare technical summaries and presentations of project findings.

Skills

Laboratory skills

Data analysis

Statistical analysis

Communication skills

Independent work

Education

PhD student in Biochemistry or related life sciences

GPA 3.0

Full-time enrollment for Fall semester

10–12 weeks internship May–Aug 2027

Tools

Minitab

STAT 360

Job description

Our Company is offering a 10–12 week internship in Bioanalytical Sciences within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) division. The project focuses on developing a DOE-guided decision tree to optimize bioanalytical method development and create a practical, data-driven framework for robust assays.

The intern will review workflows, identify key variables, and organize them into a structured screening framework, delivering a final decision tree and an analysis