Job description
- Serve as the subject matter expert for planning, setup, and acquisition of external clinical data at the study level, managing study startup, conduct, and closeout activities.
- Create external data transfer agreements, ensuring alignment with company standards and specifications to support data integration, analysis, and reporting.
- Provide guidance in setting up infrastructure for external data flow into company clinical data pipelines.
- Oversee the validation of all third-party data generated in clinical trials, ensuring accurate integration into company clinical data pipelines.
- Develop strong and productive working relationships with key stakeholders, including Clinical Data Management, Clinical Data Engineering, Standards, and other Study Execution Team members.
- Support submission readiness efforts and may represent the Clinical Trial Tools & Technologies (CT3) group in formal inspections or audits.
- Represent the company in interactions with key external partners as part of the CT3 Third-Party Data Acquisition team.
- Ensure timely submission and ongoing maintenance of study-related third-party data acquisition documentation in the Trial Master File (TMF).
- Adhere to procedural documents and participate in their review and updates to ensure compliance with industry standards, regulatory requirements, and best practices.
- Collaborate with and review work delivered by external partners (e.g., laboratories, eCOA providers, technology providers) performing services on behalf of the company.
- Escalate issues to CT3 leadership as needed.
Technical/Functional Expertise:
- Strong working knowledge of FDA and ICH regulations, industry standards, and quality control principles.
- Experience across all phases of drug development.
- Extensive experience in clinical data acquisition and management from external/third-party vendors.
- Ability to lead study-level negotiations and agreements for data transfer or integration on behalf of the company.
- Strong collaboration skills, with the ability to work effectively across all levels of the organization with moderate supervision.
- Familiarity with FTP tools like GlobalScape and clinical platforms such as Veeva CDMS, Elluminate, and Veeva TMF is a plus.
Frequently asked questions
Q: What skills or qualities help someone succeed as a Clinical Data Analyst?
A: To succeed as a Clinical Data Analyst, key technical skills include proficiency in statistical software such as SAS or R, experience with electronic health records (EHRs) and clinical data management systems, and knowledge of data visualization tools like Tableau or Power BI. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for working with cross-functional teams, interpreting complex data insights, and presenting findings to stakeholders. By combining technical expertise with strong interpersonal skills, Clinical Data Analysts can drive data-driven decision-making and contribute to the development of evidence-based clinical practices, ultimately supporting career growth and effectiveness in the role.
Q: What is the career path for a Clinical Data Analyst?
A: A Clinical Data Analyst's typical career progression involves starting as a Data Analyst or Associate Data Analyst, where they work with clinical data to identify trends and insights. As they gain experience, they can move into mid-level roles such as Senior Data Analyst or Clinical Data Scientist, where they lead data-driven projects and develop predictive models. Ultimately, senior Clinical Data Analysts can transition into leadership positions like Director of Clinical Data Analytics or Medical Informatics, or pursue specialized roles like Medical Writing or Regulatory Affairs, leveraging their expertise in data analysis and interpretation.
