Quantitative Pharmacology Intern - 2027 Talent Program

MSD Malaysia; West Point (PA); Hybrid; USD 39,000 - 111,000; Part time

Benefits offered by this job

Hybrid work model

Mentorship from leading scientists

Job summary

MSD Malaysia is seeking motivated interns for the 2027 Summer Internship Program in the Quantitative Pharmacology & Pharmacometrics (QP2) group within Translational Medicine. You will work on PK/PD modeling, PBPK, and data-driven analyses under mentorship from experienced scientists.

Applicants must be enrolled in a PhD or MS program and be available for 10–12 weeks starting May/June 2027. Strong programming skills in R, NONMEM, MATLAB, Monolix, SAS, Phoenix NLME, or Python are preferred.

Qualifications

• Currently enrolled in a PhD or MS degree program in Pharmacometrics, Clinical Pharmacology, Clinical PK/PD, Mathematics / Applied Mathematics, Pharmaceutical Sciences, Statistics, Bioengineering, Chemical Engineering, Computer Science, or related areas.
• Available to work full-time for 10 to 12 consecutive weeks beginning in May or June of 2027.
• Experience with programming languages listed (R, NONMEM, MATLAB, Monolix, SAS, Phoenix NLME, Python) preferred.

Responsibilities

• Support PK/PD modeling, pharmacometrics workflows, and simulations.
• Collaborate across multidisciplinary teams and contribute to scientific presentations.
• Develop and apply mathematical, physiological, pharmacological, and statistical models to drug development problems.

Skills

R

NONMEM

MATLAB

Monolix

SAS

Phoenix NLME

Python

Data wrangling

Education

MS or PhD in Pharmacometrics / related fields

Tools

Git

Job description

MSD Malaysia is seeking motivated interns for the 2027 Summer Internship Program in the Quantitative Pharmacology & Pharmacometrics (QP2) group within Translational Medicine. You will work on PK/PD modeling, PBPK, and data-driven analyses under mentorship from experienced scientists.

Applicants must be enrolled in a PhD or MS program and be available for 10–12 weeks starting May/June 2027. Strong programming skills in R, NONMEM, MATLAB, Monolix, SAS, Phoenix NLME, or Python are preferred.