Fortrea is a global contract research organization (CRO) committed to advancing drug and medical device development through scientific excellence and clinical expertise. With operations in nearly 100 countries, Fortrea collaborates with pharmaceutical, biotechnology, and medical device companies to deliver high-quality clinical development, patient access, and technology solutions. The company is dedicated to transforming healthcare by accelerating the availability of innovative therapies worldwide.
Responsibilities in the Job
As a Sr. Clinical Data Analyst at Fortrea, you will play a critical role in ensuring the accuracy and integrity of clinical trial data. Your primary responsibilities will include:
- Coordinating clinical data review, query resolution, and reconciliation activities.
- Assisting in the development of Data Management Plans and setting up data management systems.
- Ensuring that clinical trial data meets regulatory standards, Good Clinical Practices (GCP), and company protocols.
- Performing data review, query management, and resolving discrepancies.
- Generating reports, special listings, and discrepancy reconciliation data.
- Supporting Data Management Leads in project execution and documentation.
- Assisting in database lock activities and creating training materials for new staff.
Qualifications
To qualify for this role, candidates must meet the following requirements:
- A university or college degree in Life Sciences, Health Sciences, Information Technology, or related fields.
- 2 to 4 years of experience in clinical research, preferably in data management.
- Fluency in English (written and verbal).
- Knowledge of medical terminology and drug development processes.
- Strong organizational and time management skills.
- Experience with clinical data management practices.
- Ability to work in a team environment and collaborate effectively.
Skills Required
The ideal candidate should possess:
- Excellent analytical and problem-solving skills.
- Attention to detail and ability to work under tight deadlines.
- Strong knowledge of effective clinical data management practices.
- Familiarity with industry regulations and GCP standards.
- Proficiency in database management and query resolution.
- Ability to generate reports and manage documentation efficiently.
