Novartis Analytics Internships 2023
Location: East Hanover, NJ or Cambridge, MA (with hybrid option)
Type of Student: Graduate, PhD
Deadline for Applying: January 31, 2023
At Novartis, we are reimagining medicine to improve and extend
people’s lives. We have one of the most diverse product pipelines in
the pharmaceutical industry and performance-driven professionals are
bringing innovative medicines to life.
The department of pharmacometrics at Novartis will have internship
positions available for approximately 12 weeks in 2023 (May to August;
dates flexible).
Job Description:
Interns will work on statistics, pharmacometrics or data science
projects to design and analyze clinical trials and/or perform relevant
quantitative research under the guidance of experienced quantitative
scientists. Various real-world problems will give interns hands-on
exposure to the early and late phases of drug development across
different therapeutic areas, including oncology, cardiology,
immunology, neurology, ophthalmology, and respiratory care. Potential
topics include disease progression modeling, PK/PD modeling and causal
inference. Interns will also attend seminars and other activities to
enhance their understanding of the drug development process. There
will be opportunities for interns to present their project results to
quantitative scientists and other key stakeholders.
Requirement:
Candidates must be enrolled in a graduate  level program working
toward a PhD in biostatistics, statistics, pharmacometrics,
engineering, mathematics, or a related quantitative discipline and
have completed at least 1.5 years of course work. In addition,
candidates must be authorized to work in the United States.
Competitive candidates must have the following skills:
 Excellent oral and written communication skills
 Strong problem-solving skills
 Knowledge of R and modeling software, such as NONMEM and MONOLIX is preferred.
Apply: Complete the application form and email a CV to
internships.analyt...@novartis.com.
Video: https://bit.ly/3UcEmbl

Reply via email to