Description
As a 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 in Real World Evidence.
The RWD Analyst will align with the Real-World Evidence 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
- 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).
- 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 RWE 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 RWE researchers to generate code lists for new measures in RWD
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.
The salary range for this position is : $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location.
These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package.
Benefits include company-sponsored medical, dental, vision, and life insurance plans*.
For additional benefits information, visit :
Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.
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As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.
In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance.