Associate Lead Data Facilitation Programmer

1 week ago

Bengaluru, Karnataka, India Novo Nordisk AS Full time

Department – Clinical Drug Development - Global Business Solutions

Are you passionate about quality and simplification? Do you want to build quality within processes in the most efficient way? Do you have an innovative mindset to drive change in a future-ready environment and support your colleagues and stakeholders by challenging the status quo in a friendly and open-minded way? If so, there is a job opportunity waiting for you as our new Associate Lead Data Facilitation Programmer. At Novo Nordisk, we will challenge you to do the best work of your life. Apply Now.

The Position

As the Associate Lead Data Facilitation Programmer of Data Management and Centralized Data Review at Novo Nordisk, you will be responsible for driving and executing Health Tracker, EDC, and Audit Trail Reports and also any future reports requested by the team at required frequencies. Ensure Data Visualization facilitates visualizations to stakeholders for data review. Perform mapping, testing, creating conversions, and supporting the DBL activities across interfaces. In addition setting high goals for personal and group accomplishment, tenaciously working to meet or exceed goals. Programming in Python, R, and Power BI with exposure to Clinical Data Management would be an added advantage.

The Associate Lead Data Facilitation Programmer's key responsibilities :

Ensure Reports execution of Health Tracker, EDC, and Audit Trail Reports at required frequencies. Perform programming, review, and update of relevant documents about report creation. Facilitate Audit Trail Report by Risk-Based Data Management Guidelines. Data Visualisation: Design, build, and maintain interactive dashboards for real-time clinical data monitoring and analysis for data review using Python or R. Cater to the trial-specific requirements on visualization to stakeholders. Design, develop, and maintain data visualization dashboards to help users understand and analyze data. Data integration: Develop and manage robust data systems that consolidate data from various sources, including EDC systems, clinical databases, and third-party platforms. Implement data pipelines for efficient data flow and processing, ensuring data integrity and timeliness. Collaboration: Work closely with clinical data managers, clinical data facilitators, and IT specialists to define requirements and deliver data solutions. Communicate complex data concepts and insights effectively to non-technical team members and stakeholders. Code management: Maintain clean and well-documented codebases. Use version control systems like Git to manage code changes and collaborate with other team members. Use an Agile framework for prioritizing and implementing projects. Implement security measures to protect sensitive clinical data. Maintain patient confidentiality by HIPAA and other privacy regulations.

Qualifications:

Masters / Bachelor's degree in Life Science or comparable degree in computer science, Information Technology clinical information management, or equivalent qualifications. Minimum 5-8 years of experience in the pharmaceutical industry with a programming background and preferably 2 years within clinical data management systems Understanding of protocol, CRF standards, Inform Terminologies, and EDC data structure Knowledge and experience in Programming languages such as Python, R & Rshiny Knowledge and experience in data visualization tools like Tableau or Power BI Knowledge of computer systems, IT, and clinical data process flow Knowledge of clinical development and basic medical terminology Experience in project management, collaboration, communication, and presentation skills. Profound Knowledge of GxP and guidelines within drug development.

About the Department :

Our Data Management group is 350+ professionals spanning India, Denmark, and North America. Data Management sits in Development where we manage clinical drug development worldwide, ensuring that the process lives up to uniform global standards, regulations, and business ethics while delivering viable products that make a difference to patients and ultimately benefit society. Our newly formed Data Review and Cleaning group sits within the Data Management & Centralised Data Review Department led from our Bengaluru site. The Data Review and Cleaning group has been set up to centralize and modernize the data review and cleaning processes, implement new methodologies, and develop innovative toolkits supporting the transformation.

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