Job Summary

• We are offering four internship positions within the Analytical Department for Graduate Level Students and recent Graduates in Sub Sahara Africa.
• This internship provides an exciting opportunity to gain hands-on experience in the pharmaceutical industry, specifically in drug development using statistical and machine learning methods.
• Interns will work closely with Senior Level Quantitative Scientists to apply or develop advanced modeling methods, including:
  • Machine Learning (eg Deep Learning)
  • Survival Analysis
  • Causal Inference
  • Bayesian Statistics
  • Disease Progression Modeling
  • Pharmacokinetics/ Pharmacodynamics (PK/PD) Modeling.
• Interns will also participate in seminars and knowledge sharing sessions and have opportunities to present their project outcomes to stakeholders and quantitative scientists at Novartis.

Key Responsibilities

• Assist in the application/development of quantitative methods for drug development.
• Collaborate with quantitative scientists on real world pharmaceutical data.
• Conduct research using statistical programming tools such as SA or R.
• Attend workshops and internal seminars on drug development processes.
• Present findings to Novartis analytical teams and key stakeholders.

Requirements

• Enrolled in or recently graduated (within 18 months) from an M.Sc, Ph.D, or exceptional senior undergraduate program in Biostatistics, Statistics, Pharmacometrics, Engineering or related discipline.
• 0-1 year experience
• Strong programming skills in SAS or R.
• Excellent verbal and written communication skills in English.
• Motivated and eager to gain exposure to pharmaceutical analytic.