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Bristol-Myers Squibbposted 8 months ago
Full-time • Intern
Hybrid • Princeton, NJ
Chemical Manufacturing
About the position
The Clinical Pharmacology Internship at Bristol Myers Squibb offers an opportunity for students to engage in meaningful work within the Clinical Pharmacology, Pharmacometrics, and Bioanalysis Department. Interns will participate in various projects that involve reviewing literature, conducting exploratory clinical data analyses, and collaborating with experienced professionals to support drug development processes across multiple therapeutic areas.
Responsibilities
- Conduct literature review and collaborate with the Clinical Pharmacology and Pharmacometrics Team and Project Team in contributing to clinical pharmacology plan and addressing scientific and technical questions in drug development.
- Execute part of the clinical pharmacology project plan under the guidance of an experienced clinical pharmacologist.
- Coordinate with data scientists and biostatistics teams in developing the appropriate analysis datasets, and conduct exploratory analyses as applicable.
- Present results of clinical pharmacology summary, exploratory analyses, and contribute to the data interpretation.
- Collaborate with team members outside CPP function when applicable.
Requirements
- Candidate should be enrolled in an undergraduate or graduate program (Ph.D., M.S., PharmD) in Pharmaceutical Sciences/Pharmacy, Bioinformatics, Biomedical Sciences, Engineering, or Statistics.
- Candidate would have training in generating scientific hypotheses and methods of validating (or rejecting) it based on data, or be willing to develop such skills.
- Knowledge in quantitative methods preferred or be willing to develop this skill set during internship.
- Hands-on experience or formal classes/workshops with one of the modeling tools such as R, SAS, NONMEM, Monolix, Phoenix NLME, or MATLAB is preferred.
- Excellent oral and written communication skills and strong problem-solving skills.
Nice-to-haves
- Experience with modeling tools such as R, SAS, NONMEM, Monolix, Phoenix NLME, or MATLAB.
Benefits
- Competitive benefits and services that provide resources for personal and professional goals.
- Opportunities for networking with individuals from multiple disciplines.
