Data Scientist, Health Economics & Advanced Analytics

Job Locations US-DC-Washington
Requisition ID
Category (Portal Searching)
Advisory Services


Avalere Health is seeking a Data Scientist to join our Health Economics & Advanced Analytics (HEAA) Practice. The HEAA practice works with life sciences companies and other healthcare sectors to quantify and communicate the real-world value of healthcare interventions and to align our clients’ business strategies with the evidentiary demands of an increasingly value-driven marketplace.  We are driven by deep subject matter expertise, differentiated and proprietary real-world data assets, and an emphasis on sound business strategy coupled with rigorous research and advanced analytic capabilities.  The data scientist will serve at the Research Scientist II level and lead and participate in the conceptualization, execution, and delivery of analyses in health economics, comparative effectiveness, performance measure development and testing, outcomes research, and epidemiology.


Principal Duties and Responsibilities:


  • Lend deep statistical, epidemiological, and/or econometric expertise to the development of proposals, statements of work, and study protocols/statistical analysis plans
  • Perform descriptive and advanced statistical analyses using large patient and/or claims databases in support of data mining, predictive modeling, and health outcomes research projects
  • Develop and author study reports, scientific publications, conference abstracts, and posters
  • Independently manage workflow and make direct contributions to the research process
  • Collaborate with cross-functional project teams (project leads, project managers, programmers, research assistants, etc.) to support exceptional execution for clients
  • Support the growth and development of junior staff focused on related areas


Skills, Experience, and Other Job Related Requirements:


Minimum Requirements:


  • MA/MS or PhD in epidemiology, data science, health economics, health policy, pharmacy administration, public health, statistics, or related discipline
  • 5+ years of consulting, healthcare, or pharmaceutical/device industry experience
  • Broad technical knowledge of computational science, including applied statistics, econometrics, predictive modeling, and/or AI/machine learning theory and methods
  • Proficiency designing and executing observational/outcomes research studies using large administrative medical and pharmacy claims, EMR, and other data derived from various public and private databases
  • 5+ years of experience using statistical software packages such as SAS, R, Python, and/or STATA
  • 3+ years of SQL programming experience
  • Knowledge of advanced analytics, AI/machine learning theory and methods, and/or econometrics
  • Experience presenting research results at scientific conferences and/or a record of peer-reviewed publications


Additional Skills and Competencies:


  • Consulting background preferred
  • Excellent writing, project management, communication, and presentation skills
  • Ability to independently manage multiple work streams with limited supervision
  • Demonstrated problem solving, analytical reasoning, and decision-making skills and strong commitment to meeting goals and deadlines
  • Excellent teamwork skills and ability to work in a fast-paced, multi-disciplinary environment
  • Self-motivated with a positive, flexible attitude


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