Associate Scientist – Post Doc Fellow, Quantitative Pharmacology and Pharmacometrics

MSD

. Review and curate relevant nonclinical and clinical pharmacokinetic data from published and internal sources .

Posted 10/13/2026full-timeUnited StatesJuniorMid-Level💰 $82,000 - $92,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in pharmacokinetic modeling and quantitative analysis, with proficiency in programming languages and applications relevant to pharmacometrics. Strong ability to collaborate with multidisciplinary teams and effectively communicate research findings through publications and presentations.

Highest-signal resume keywords

Ph.D. In Relevant FieldPharmacokinetic ModelingProgramming Proficiency In R, MATLAB, PythonScientific Writing And Publication RecordCollaboration In Multidisciplinary Teams

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PharmacokineticsPharmacodynamicsQuantitative ModelingData IntegrationModel EvaluationStatistical AnalysisMathematical BiologySystems BiologyBiostatisticsComputational Biology

Soft Skills

CollaborationCommunicationPresentation Skills

Tools & Technologies

NONMEMMonolixPhoenix WinNonlin

Industry Keywords

Pediatric PharmacologyTranslational ModelingBiologics Drug DevelopmentMonoclonal Antibody PharmacokineticsPreclinical Pharmacokinetics

Tech Stack

Tools & technologies

PythonSpring

About the role

Key responsibilities & impact

Review and curate relevant nonclinical and clinical pharmacokinetic data from published and internal sources
Integrate data from multiple sources to support quantitative model development, evaluation, and application
Develop and qualify fit-for-purpose pharmacokinetic and translational models for pediatric drug development questions
Evaluate model performance and uncertainty and translate results into recommendations for multidisciplinary project teams
Present research at conferences and/or publish in peer-reviewed journals
Collaborate with scientists in quantitative pharmacology, preclinical ADME, translational PK/PD, and discovery biology
Work with a dedicated mentor and collaborate with experienced scientists within the Quantitative Pharmacology and Pharmacometrics group

Requirements

What you’ll need

Must currently hold a Ph.D. or receive a Ph.D. no later than spring 2027
Ph.D. in mathematical biology, systems biology, statistics / biostatistics, mathematics / applied mathematics, computer science, computational biology / chemistry, pharmacokinetics and pharmacodynamics, pharmacometrics, chemical / biomedical engineering, or a related field
Experience with pharmacokinetic modeling, such as population PK or physiologically-based pharmacokinetic modeling
Proficiency in at least one programming language or pharmacometrics application, such as R, MATLAB, Python, NONMEM, Monolix, Phoenix WinNonlin, or another language
Scientific writing skill demonstrated by publication record, including preprints
Preferred: Knowledge of monoclonal antibody pharmacokinetic properties, respiratory viruses, pediatric pharmacology, translational modeling, or biologics drug development
Preferred: Experience modeling preclinical or clinical pharmacokinetics of monoclonal antibodies
Preferred: Experience working in multidisciplinary teams including clinicians and biologists

Benefits

Comp & perks

Annual bonus and long-term incentive, if applicable
Medical, dental, vision healthcare and other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Visa sponsorship
Hybrid work arrangement