Knowledge and Experience Required for this role:
-Familiarity with healthcare consulting or pharmaceutical organizations. Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques, etc.
Familiarity with machine learning techniques and Bayesian statistics is a plus.
Strong statistical programming skills with standard software.
Education:
Master or higher degree in Public Health, Health Economics, Health Policy, Statistics, Biostatics, Mathematics, or other quantitative fields.
Skills:
Ability to work under pressure to meet multiple and sometimes competing deadlines.
Excellent scientific, business writing, and presentation skills with close attention to detail.
Exceptional communication skills, especially in the relaying of technical information and project concepts.
Competent in written and spoken English SAS, R, SQL, or Python
Strong communication (spoken and written) and problem-solving skills, and an ability to learn-quickly.
Ability to communicate effectively, in non-technical terms, with project team members.
Ability to work well in a team as well as independently and be able to take leadership role with regard to methodological elements in projects.
