Intern – Statistical programmer at PAREXEL

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

You will support Statistical Programming group in analyzing and reporting clinical trials.
Your tasks include:

• Producing datasets (for statistical analysis and regulatory submission purposes), statistical outputs such as statistical tables and graphs as well as data listings, utilizing SAS® Software.
• Learn about the pharmaceutical industry, what is involved in conducting a clinical trial and getting a new drug to market, as well as good clinical practices.

On your Parexel journey, we support you with leading-edge technology, the highest caliber team members, and managers who know your strengths. If you’re looking for flexibility and work-life balance, we’re here to listen and help you move forward with your individual career path. As a large multinational company, you may also work closely with colleagues in other locations such as Asia or North America. This is a great opportunity to develop skills and experience to help you during the final year of your degree course.

Qualifications:

• BSc/MSc student studying a degree in statistics, mathematics, computer sciences, computer and management studies.
• Knowledge of a statistic methods application such as SAS®, R, MATLAB, SPSS
• Ability to prioritize work and meet deadlines.
• Ability to work and communicate in a global project team environment.
• Self-motivated with a desire to develop and learn new skills.

Be part of our empowered Parexel Statistical Programming team and contribute to our patients first approach.

The deadline for application submissions is Friday 9th of June 2023! Please ensure you get your applications in by the above date!

Join our team in South Africa for a 6 month internship- where you will work with supervision to support various programming activities related to the analysis and reporting of clinical study data.

You will support Statistical Programming group in analyzing and reporting clinical trials.
Your tasks include:

• Producing datasets (for statistical analysis and regulatory submission purposes), statistical outputs such as statistical tables and graphs as well as data listings, utilizing SAS® Software.

• Learn about the pharmaceutical industry, what is involved in conducting a clinical trial and getting a new drug to market, as well as good clinical practices.

On your Parexel journey, we support you with leading-edge technology, the highest caliber team members, and managers who know your strengths. If you’re looking for flexibility and work-life balance, we’re here to listen and help you move forward with your individual career path. As a large multinational company, you may also work closely with colleagues in other locations such as Asia or North America. This is a great opportunity to develop skills and experience to help you during the final year of your degree course.

Qualifications:

• BSc/MSc student studying a degree in statistics, mathematics, computer sciences, computer and management studies.
• Knowledge of a statistic methods application such as SAS®, R, MATLAB, SPSS
• Ability to prioritize work and meet deadlines.
• Ability to work and communicate in a global project team environment.
• Self-motivated with a desire to develop and learn new skills.

Be part of our empowered Parexel Statistical Programming team and contribute to our patients first approach

Required Skills:

• Excellent analytical skills

• Knowledge of SAS

• Knowledge and understanding of the programming and reporting process.
• Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11.
• Ability to learn new systems and function in an evolving technical environment.
• Attention to detail.
• Ability to successfully work as part of a global team.
• Work effectively in a quality-focused environment.
• Effective time management in order to meet daily metrics or team objectives.
• Show commitment to and perform consistently high quality work.