About the Role

Excelya is on the lookout for a talented Statistical Programmer to join our dynamic team. We are dedicated to upholding our core values of Audacity, Care, and Energy, and we believe that each member of our team plays a pivotal role in advancing clinical research through precise and insightful statistical analysis.

As a Statistical Programmer, you will leverage your expertise to analyze and interpret complex clinical data, ensuring our studies meet the highest standards of quality and compliance. This role not only allows you to showcase your programming skills but also provides the opportunity to collaborate with a diverse group of professionals committed to making a tangible impact in healthcare.

Key Responsibilities:

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team. You will play a critical part in driving innovatio and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Activities

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Safety. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Activities:

• Develop and maintain SAS programs for the reporting and analysis of clinical trial data.
• Collaborate with statisticians and clinical data managers to ensure statistical integrity of the results.
• Conduct exploratory statistical analyses and prepare summary statistics and tables as required.
• Create and validate datasets, ensuring accuracy and consistency across all outputs.
• Support ad-hoc requests for data analysis and create programming specifications.
• Participate in the development of programming practices and standards to improve efficiency and accuracy.
• Document work processes and ensure compliance with regulatory standards.
• Assist in the preparation of regulatory submissions as needed.

Requirements

About You

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Staff Data Scientist (Growth) in United States.

As a Senior Staff Data Scientist, you will play a pivotal role in driving business growth through the development and deployment of advanced machine learning models. Your expertise will help enhance customer experiences, optimize processes, and deliver actionable insights at scale. You will work closely with cross-functional teams, including product managers and engineers, to implement cutting-edge AI solutions and ensure they deliver tangible value in a production environment. This is a unique opportunity to shape the future of a fast-growing company while solving complex, high-impact problems.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Manager, Marketing Analytics in the United States.

In this role, you will be responsible for leveraging data to drive customer retention and improve business performance. By analyzing customer data, creating segmentation models, and collaborating with various teams, you will provide insights that shape marketing strategies. You will also play a key part in optimizing decision-making processes, utilizing tools like SQL and analytics platforms to track key customer metrics and drive growth.

Accountabilities: