Subscribe to Job Alert
Join our happy subscribers
Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us
Novartis is a global healthcare company based in Switzerland that provides solutions to the evolving needs of patients worldwide.
At Novartis, we are reimagining medicine to improve and extend people's lives. In 2021, Novartis’ products touched 766 million lives. With the power of our people and one of the most diverse product pipelines in the pharmaceutical industry, we are bringing innovative medicines to improve and extend even more lives.
The department of Analytics at Novartis will have four internship positions available for approximately 3 months (or up to 6 months in an exceptional circumstance) in 2023. The internships will be in our Lagos, Nigeria office or Accra, Ghana office.
This internship will provide motivated students with exposure to the pharmaceutical industry, and with the opportunity to work on the application or development of statistical, machine learning or pharmacokinetic/pharmacodynamics modeling methods in drug development, under the supervision of a senior-level quantitative scientist. Depending on nature of specific drug development questions, interns may employ variety of quantitative methods, including machine learning (e.g., deep learning), survival analyses, causal inference, Bayesian statistics, disease progression modeling and pharmacokinetic/pharmacodynamics modeling, among other quantitative methods. 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.
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Minimum requirements
Build your CV for free. Download in different templates.
Join our happy subscribers