Summer Intern Medical Affairs and Global Value

Job Description

The Summer Intern (MAVS) will be responsible for performing and validating statistical analyses in support of Global Scientific and Medical Affairs and Global Value and Health Economics Outcomes Research functions. Working with a mentor, they will propose, develop, execute, and present 1-3 special projects that provide an opportunity to apply statistical methods involving clinical trial and/or real-world data for evidence generation. They will also build relationships with other R&D stakeholders to learn key clinical and life cycle management considerations and ensure that planned statistical methods are applicable, optimal, and clearly communicated.

Job Responsibilities

• Work collaboratively with other members of the Global Medical and Scientific Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company Pharmaceuticals products.
• Develop, design, and perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate.
• Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions.
• Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.

Education & Qualifications

Required Knowledge, Skills, and Abilities

• Master’s degree with >2 years of experience or PhD in statistics, mathematics or a related discipline with a statistical focus.
• Proficient in drug development regulations pertinent to statistical analysis.
• Proficient SAS and/or R programming skills.
• Understanding of CDISC SDTM and ADAM models and standards is preferred but not required.
• Excellent writing and communication skills, demonstrated leadership abilities, and excellent interpersonal skills.
• Able to work in a fast-paced, flexible, team-oriented environment.

Required/Preferred Education and Licenses

• Master’s degree or PhD in statistics, mathematics or a related discipline with a statistical focus