Associate Director, Real-World Data Programmer

As an member of the CDS-RWE Analytics group, the RWD Analyst reports directly Head of RWE Analytics and is responsible for the design and conduct of statistical analyses of RWD to assess the value of Gilead therapies and perform data visualization and QCs TFLs to communicate results to internal stakeholders with Gilead Sciences. The RWD Analyst will align with the MAR Therapeutic Area (TA)-aligned Lead to conduct timely, relevant and rigorous analysis of RWD to address critical research questions, as well as collaborate with CDS to develop, refine, and scale data management and analytic procedures, systems, workflows, best practices, and other issues.

Key Responsibilities

• Utilise internal databases such as electronic medical records, charts, health claims, the patient reported outcomes, registries and publicly available data to execute inhouse analytical projects, data mining, secondary data analysis, and digital solutions support
• QC programming for descriptive and complex studies using RWD.
• Conduct analyses and develop specifications for descriptive and complex statistics in studies using RWD.
• Write the statistical analysis plan (SAP) for descriptive and complex studies using RWD, including from internal Gilead-sponsored prospective cohort studies, claims, charge master and EHR in collaboration with MAR TA lead
• Understand methods and programming to support Comparative Effectiveness Research (CER) analyses, as well as analyses of patient-reported outcomes (PRO) or other patient outcome data
• Develop and QC TFLs for protocols/reports/manuscripts from RWE research conducted to assess the value of Gilead therapies using RWD (e.g. claims and EHR)
• Work with MAR researchers to generate code lists for new measures in RWD
• Perform programming, testing, mapping, and documentation of RWD projects to meet business needs.
• Work with Observational study teams to provide technical expertise to ensure RWD specifications and statistical analysis plans are designed with scientific rigour and that appropriate research methods are used to answer the research of business question.
• Critically review the analytic approach and results on an ongoing basis considering design assumptions and limitations.
• Conduct periodic reviews of external databases for relevance to the Gilead Sciences and appropriateness for addressing RWD needs.

Knowledge, Skills and Experience

• Master's degree (e.g. MA, MSc, MPH) in Biostatistics, Epidemiology or related discipline, such as Outcomes Research from an accredited institution, with a minimum of eight (8) years of relevant, post-graduation experience.
• Doctoral level training with a minimum of two (2) years of relevant experience is preferred. Direct experience in lieu of academic training is acceptable.
• Knowledge of real-world data and experience in observational research study design, execution and communication.
• Strong track record of analysis of a broad range of RWD.
• Formal training in Programming and demonstrated proficiency in statistical analysis programs commonly used in life sciences (e.g. SAS, R).
• Understanding of epidemiology or outcomes research and the application of retrospective or prospective studies to generate value evidence.
• Ability to effectively communicate statistical methodology and analysis results.
• Ability to work effectively in a constantly changing, diverse, and matrix environment.
• Knowledge of US secondary data sources required; additional experience with international data sources is preferred.
• Knowledge and experience in qualitative analysis and data sets (e.g., free-text natural language processing, survey data) is preferred.

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