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Senior Data Analyst – Oncology, Real World Solutions

Remote · USA Full-time New today

Senior Data Analyst – Oncology, Real World Solutions Job Overview IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully within the environment of a prominent Pharma company. The senior data analyst sits within our Real-World Solutions team and will be responsible for leading and programming analyses for oncology observational studies under one client portfolio. It is important for this individual to have statistical programming expertise in oncology observational research studies, take initiative and succeed in a matrix environment, and have experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and function as the steward of the client’s best practices, standards, and methodologies underlying the use of real-world data (RWD). Prior programming experience using Flatiron Health data required. Essential Functions

  • Lead development of statistical programs and conduct analyses using oncology-specific secondary real world data sources, including claims, EHR, HEOR, and genomic data.
  • Support development of other study documents including statistical analysis plans, analysis specifications, and study reports
  • Assess the feasibility of using real-world data sources to characterize patient populations, build patient cohorts, and define and validate key variables specific to study objectives.
  • Plan and program the integration of data from multiple sources.
  • Conduct analyses to characterize patient cohorts and QC datasets within time, budget, and quality standards for a variety of real-world studies.
  • Manage and contribute to quality control of programs and automation of data refreshes.
  • Communicate timelines, progress reports, and results to project team and key stakeholders.
  • Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies.
  • Closely collaborate with epidemiologists and other scientists to develop and refine data management and analytic procedures, code lists, and workflows Qualifications
  • Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 2 years of relevant experience required.
  • Knowledge of statistics, programming, and real-world studies
  • Prior programming experience using Flatiron Health data required.
  • Prior experience programming oncology-specific methodologies, including deriving lines of therapy and conducting survival analyses.
  • Intermediate to advanced knowledge of SAS preferred, R acceptable.
  • Good organizational, interpersonal, and communication skills
  • Ability to effectively manage and prioritize multiple tasks and projects.
  • Excellent accuracy and attention to detail. #LI-Remote #LI-NITINMAHAJAN IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. The potential base pay range for this role, when annualized, is $88,300.00 - $273,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits. Apply tot his job

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