Associate Director Statistical Programming

Who we are

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

The opportunity

The Clinical Programming team is responsible for some critical aspects of Teva’s clinical trials process and related activities. A Technical Team under Clinical Programming will provide us with the best chances to deal with the challenges, the manager of this team (Associate Director level) reports to the Head of Clinical Programming directly.

How you’ll spend your day

 

The Technical Team will be in charge of the following areas:

 

1.    Clinical trials production systems management and business processes improvement

 

It is in Clinical Programming’s long term best interest to retain SAS technical expertise in house. As the cloud gradually replaces Teva data center over the next few years and clinical trials processing shifts to the cloud entirely, there will undoubtedly be many new challenges that require innovation and creativity. A proven technical expert grounded in Clinical Programming’s current processes will best serve this role. As time goes by, the team can grow to have additional members who will share the knowledge and responsibilities, thus enhancing technical stability for Clinical Programming. 

 

2.    Development of new technologies and tools

 

Many pharmaceutical companies are exploring, and adopting, new technologies and tools that fall outside of the traditional SAS tools in their attempt to speed up new drug development and improve patient safety. Inside Clinical Programming, multiple initiatives are ongoing to develop similar tools to improve our processes. These include using Python to create aCRF/Reduction/Reporting Dashboard, using R Shiny to develop interactive web apps, using Visual Basic to enhance Microsoft Office documents, and leveraging Adobe Pro for PDF bookmarks, etc.  As these and future projects grow and mature, they will benefit greatly from the coordination and direction of a dedicated Technical Team, with the potential for significant synergy. Some projects may be undertaken by the Technical Team directly.

 

3.    Cross-functional support of other teams

 

Clinical Programming has been providing various support to other teams. For example, Clinical Programming has an automated process to transfer any new files in the Final TLGs folder to Medical Writing and notify them by email too. Clinical Programming also provides extensive SAS and database programming support to the RWE team in their Microsoft Azure Databricks environment. These and other support activities will continue under the Technical Team.

 

4.    Vision for future growth

 

The pharmaceutical industry as a whole is scrutinizing the current practices and processes of new drug development and trying to figure out a way to bring in revolutionary technologies and processes that have greatly transformed some other industries or fields. Artificial intelligence and machine learning hold tremendous promise for clinical trials and other aspects of new drug development, but how and where to apply them successfully in this highly regulated environment is the key. Teva already has an AAAI team that is pioneering these technologies, and the Technical Team will engage with AAAI to bring AI and ML into the clinical trials process as appropriate. Similarly, insights from HEOR / RWE research can inspire ideas for new drugs or new protocols. The Technical Team can work with the RWE team to explore areas of cooperation in support of ongoing clinical trials.

 

Your experience and qualifications

Education Required: 

 

• Bachelor's or higher degree in Science, Statistics, Iinformation Technology or equivalent combination of education and related work experience.

 

Experience Required:    

⦁    More than 13 years of professional experience in pharmaceutical or clinical research.
 

 
Experience Preferred:    

⦁    Specialized or Technical Knowledge Licenses, Certifications needed:Excellent SAS knowledge of the following SAS modules/ procedures: Base SAS; SAS report writing; SAS macros\ functions.
 

 

Functional Knowledge