Novartis is a global healthcare company renowned for its dedication to reimagining medicine and improving the lives of people worldwide. With cutting-edge innovation and a patient-first approach, Novartis focuses on leveraging data science and technology to address the most significant challenges in the healthcare industry. This position, Intern – Associate Clinical Data Scientist, reflects Novartis’s commitment to nurturing young talent while upholding high-quality standards in drug development.
Responsibilities in the Job
As an Intern – Associate Clinical Data Scientist at Novartis, you will play a pivotal role in supporting data management and clinical database delivery. Key responsibilities include:
- Assisting in the management of data deliverables for clinical trials, ensuring cost, quality, and timely execution.
- Collaborating on writing specifications for study-specific validation checks and reports to ensure consistent and high-quality data.
- Participating in User Acceptance Testing (UAT) and managing local lab setup for the clinical database.
- Conducting ongoing reviews of clinical study data, including third-party and local lab data reconciliation.
- Creating engaging content and graphics for training modules and operational applications.
- Supporting audit readiness, ensuring adherence to quality compliance standards, and driving corrective action plans (CAPAs).
- Accurately coding and managing clinical data, ensuring adherence to Good Clinical Practices (GCP).
- Tracking and reporting the status of assigned tasks while maintaining up-to-date tracking systems.
Qualifications
Candidates aspiring to join Novartis in this role should meet the following qualifications:
- Demonstrates technical proficiency, scientific creativity, and the ability to collaborate effectively.
- A keen interest in data management, with basic experience or academic background in related fields.
- Awareness of data-handling procedures and a foundational understanding of GCP.
Skills
The role demands proficiency in the following skills:
- Clinical Data Management.
- Data Entry and Database Management.
- Strong analytical and coding abilities.
- Detail-oriented with a focus on accuracy and consistency.
- Effective communication skills in English.
