Analysis Group Inc. provides innovative solutions to clients in the pharmaceutical, biotechnology, diagnostic, and medical device industries. By drawing on our deep understanding of the health care industry and technical expertise, we assist life sciences companies with demonstrating and communicating the value of their products, based on rigorous research and analysis.
Our projects often involve development of scientific evidence and dissemination of research findings associated with clients’ health technologies through conference presentations and peer-reviewed publications in the medical and health economic and outcomes literature. We routinely synthesize and communicate published evidence in various formats, including slide presentations and formulary dossiers (AMCP and global value dossiers). We offer experienced researchers the opportunity to play a leading role in both content development, project management, and client engagement.
Analysis Group fosters a progressive and academically oriented work environment, with an emphasis on teamwork and collaboration across diverse areas of expertise. We seek experienced candidates with an outstanding academic record including an advanced degree (e.g., Ph.D. or MS) in economics, biostatistics, decision analysis, health policy, or a related field focused on quantitative analyses, and 2-4 years experience in the health care industry or health care research, including demonstrated experience with analyzing health insurance claims or other large administrative databases and with health economic modeling. Candidates should also demonstrate strong interpersonal and communication skills, excellent research skills, programming ability in at least one statistical analysis language (e.g., Stata, R, or SAS), a commitment to teamwork and collaborative problem solving, and aspiration for continuous learning and professional development.
Candidates should submit a cover letter including a statement of interest, curriculum vitae, including undergraduate and graduate GPA and unofficial transcript(s), and a written research sample.