Janssen Research & Development, L.L.C, a member of Johnson & Johnson's Family of Companies, is recruiting for Clinical Pharmacology and Pharmacometrics Summer Interns (multiple) at its Spring House PA, Raritan NJ, Titusville NJ, and La Jolla CA sites.
Clinical Pharmacology and Pharmacometrics (CPP) is an integrated part of the Global Development organization within Janssen Research & Development, L.L.C. We work in cross-disciplinary compound development teams and apply clinical pharmacology principles and pharmacometrics methodologies across the R&D portfolio to enable optimal decision-making in drug development at the earliest time point and in the most efficient manner.
Clinical Pharmacology and Pharmacometrics (CPP) are available for undergraduate and graduate students majoring in science related disciplines such as Pharmacology, Pharmacokinetics, Pharmaceutical Sciences, Molecular or Computational biology, Biostatistics, Mathematics, Engineering, or a related discipline. Students will have the opportunity to work with clinical pharmacologists and pharmacometricians and learn about CPP, including pharmacokinetics (PK) / pharmacodynamics (PD), translational modeling and principles of model-based drug development in the pharmaceutical R&D setting. Our teams benefit from the student's academic training and in turn contribute to the further professional development of the student, providing exposure to drug development and a first-hand opportunity to evaluate the student's potential for future employment.
The Clinical Pharmacology & Pharmacometrics Summer Intern will be involved in various activities to support Research and Development in areas ranging from preclinical to early/late-stage clinical development, including:
Clinical Pharmacology and Medical literature review
Data analysis of PK, biomarker, preclinical and/or clinical data, trial design, etc.
PK and PD model-building and analyses
Development of computer programs or state-of-the-art quantitative methodologies (e.g., population PK/PD, quantitative systems pharmacology [QSP]) within the modeling and simulation framework
Model based meta-analysis (MBMA), advanced data visualization (e.g., RShiny), and machine learning applications integrating publicly available and in-house data
Diseases areas of immunology, oncology, neuroscience, infectious diseases & vaccines, pulmonary hypertension, or cardiovascular and metabolic diseases.
Child care benefits
Short term disability