Data Anonymization Coordinator Full-time Job

1. Planning and participating in programming/quality control of data verification and data anonymisation activities.

2. Applying the GSK standards for data anonymisation and escalating any non-conformance with these standards.

3. Continuing to develop and refine the approach, proactively identifying risk and areas for process improvement for data verification and anonymisation

4. Providing written documentation of data verification and anonymisation activities as well as content, approach and reuse information for use by both internal staff and external researchers

5. Ensuring that studies have been correctly anonymised and complexities of studies e.g. parent/child linkage has been correctly implemented in the anonymisation.

6. Partnering with other Programmers to QC each other s work and being willing to participate in discussions with the wider team to ensure data anonymisation and data verification approaches are consistent

7. Verification of clinical study data prior to anonymisation to ensure that the correct data is provided to the research teams and provide any necessary supporting documentation to facilitate data reuse

8. Partner with the Data Sharing Team to ensure that all external research teams have the support and documentation available to them to make the most of the clinical data that has been provided

9. Continuously review and improve the data verification process and supporting documentation to minimise the number of data related queries raised by providing the appropriate reuse documentation alongside the data.

10. Work with the Data Access System Vendor and drive all Access System support issues raised by the researchers to resolution, ensuring that an efficient and robust support model is in place to meet the needs of the researcher.

Knowledge/Education Required

Minimum & Preferred Level of Education Required- Master s Degree Area of Specialization- Scientific or Computer Sciences degree preferred. Knowledge and awareness of statistics and programming, analysing clinical trial data, data anonymization and\or de-identification. Previous Experience Required

At least 4 years of experience in anonymisation, data verification and other analysis activities related to data use and sharing of data Experience in managing clinical trial (study, data, or system/technology) activities. Good understanding of clinical trial lifecycle, clinical trial metadata [i.e. information about the trials], clinical trial data [i.e. observed data collected as part of the trial], clinical documents. Knowledge of R&D and the clinical development process In depth understanding of Base SAS, SAS Macro, Data Domains and Standards such as CDSIC Experience in working with large information bases and combining information from these sources Ability to manage multiple priorities and assist with priority setting as required Proven ability to clearly convey information orally and in writing (technical documentation, presentations to business stakeholders, etc.) to audiences with varied and sometimes limited technical knowledge Experience working in large, diverse team environment with changing priorities Educational Background or Job-Related Experience

Good understanding of R&D and the clinical development process to enable understanding of anonymization related activities, manage risks and, where required, develop novel solutions and processes. Good overview and understanding of end to end study process and data flow; in-depth knowledge of patient data - a recognized expert. Ability to bridge the communications gap between scientific/medical and non-scientific organizations. Ability to communicate the importance of relevant technical or process solutions to business problems. Provide personalized communications with reasons and rationale, context and relevance of the thinking. Describe anonymization in a way that can be understood by the Business. Excellent verbal and written communication skills. Ability to work with a high degree of independence. Excellent attention to detail. Good teamwork and interpersonal skills with demonstrated ability to interact effectively across boundaries with other global functions using influencing and relationship building skills. Ability to effectively manage conflicting demands in a high pressure, constantly changing environment and achieve timely delivery.