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Real World Data Analyst

2 months ago

Uxbridge, United Kingdom Gilead Sciences Europe Ltd. Full time
Job Title: Real World Data Analyst

About the Role:

We are seeking a highly skilled Real World Data Analyst to join our CDS-RWE Analytics team. As a member of this team, you will be responsible for designing and conducting statistical analyses of real-world data to assess the value of Gilead therapies.

Key Responsibilities:

  • Develop and quality-check technical functional listings (TFLs) for protocols/reports/manuscripts from real-world evidence research conducted to assess the value of Gilead therapies using real-world data.
  • Quality-check programming for descriptive and complex studies using real-world data.
  • Conduct analyses and develop specifications for descriptive and complex statistics in studies using real-world data.
  • Write the statistical analysis plan (SAP) for descriptive and complex studies using real-world data, including from internal Gilead-sponsored prospective cohort studies, claims, charge master, and electronic health records in collaboration with the Real-World Evidence Therapeutic Area 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 quality-check TFLs for protocols/reports/manuscripts from real-world evidence research conducted to assess the value of Gilead therapies using real-world data.
  • Work with real-world evidence researchers to generate code lists for new measures in real-world data.

Requirements:

  • Master's degree in biostatistics, epidemiology, or a related discipline, such as outcomes research, from an accredited institution, with an extensive background of relevant, post-graduation experience.
  • Doctoral-level training with 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 real-world data.
  • 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.

Equal Employment Opportunity (EEO):

Gilead Sciences, Inc. and its subsidiaries and affiliates are committed to equal employment opportunity and non-discrimination for all employees and applicants. We prohibit discrimination based on any protected characteristic or prohibited ground, including an individual's gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local, or other applicable laws.