Intern Advanced Analytics Team

PharmaQuant is happy to offer industry placements in our Advance Analytics team to fresh post-graduates. An internship within PharmaQuant will equip you with rock-solid foundation required for a successful career in the pharmaceutical industry. We are a fast-growing healthcare consultancy firm respected globally for the quality and innovation. Our research enables pharmaceutical companies to successfully launch innovative medicines. As of now, all our internships are based out of our research hub in Kolkata, India.

Interns are expected to support a range of modelling, evidence review and generation projects which communicates the costs and benefits of healthcare interventions in the pharmaceutical industry You will have the opportunity to work with some of the top pharmaceutical companies in the world. The candidate will receive extensive on the job training from senior health economists and senior statisticians. PharmaQuant provides opportunity to work in a very dynamic environment with diverse workload and people from diverse background.

Duties and Responsibilities

• Research, scope and develop a range of economic models (using statistical software based on regression, logistic regression, random effects model, mixed effects models), predominantly in Excel, including cost effectiveness, cost utility, cost minimisation and budget impact models.
• Devise and develop value communication tools in Excel and their supporting documentations.
• Support evidence review and generation projects by working closely with project leads and the technical teams.
• Assist in writing reports, dossiers, and various publications as required.
• Develop and present slides on methods and results internally and externally

Requirements

Qualifications

• Master’s degree in Statistics (or related) discipline.
• Knowledge of using Microsoft Office.

Experience

• Hands-on experience in a modelling/statistical analysis using any statistical software preferably in R
• Knowledge and practical application of methods of economic evaluation is desired, but not mandatory.

Skills

• Moderate to high level of competency in Excel.
• Experience of working with patient level data is desirable, but not mandatory.
• Excellent communication skills with the ability to engage with the technical teams.
• Ability to manage own time to meet deadlines.
• Self-motivated, ambitious, and flexible with an ability to cope under pressure / with competing demands.
• A good understanding of the pharmaceutical industry is desired, but not mandatory.