Real World Evidence (Rwe) - Data Analyst

***100% Remote***
***Master's Degree and 8 yrs. of work experience preferably in corporate. ***
Job Description
As a member of the CDS-RWE Analytics group, the RWE Data Analyst reports directly to the Head of RWE Analytics and is responsible for the design and conduct of statistical analyses of Real World Data (RWD) to assess the value of Gilead therapies to communicate results to internal stakeholders in RWE. The RWE Data Analyst will align with the RWE Therapeutic Area (TA) 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 protocols/reports/manuscripts from RWE research conducted to assess the value of Gilead therapies using RWD (e.g., Healthcare Claims, Electronic Health Records (EHR), Chargemaster Hospital Data).
• QC programming for descriptive and complex studies using RWD.
• Conduct analyses and develop specifications for descriptive and complex statistics in studies using RWD.
• Collaborate on 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 or other patient outcome data

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.
• 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 (e.g., Claims, EHR, Chargemaster).
• 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.
• Familiarity with diagnosis (ICD-9/10), procedure (CPT4/ICD-9/10), National Drug Code (NDC) Coding Systems.

This 12+ month position starts ASAP. Long term position for the right candidate. Possible FTE.
ALPHA'S REQUIREMENT #22-02982
MUST BE ELIGIBLE TO WORK IN THE U.S. AS AN HOURLY W2 EMPLOYEE