Jobs and Careers

Associate Director, Medical Economics Research

Parsippany, United Statesfull_timeVerifiedPosted 25 Nov 2024

About the role

About Pacira Pacira BioSciences, Inc. is a leading provider of non-opioid pain management and regenerative health solutions dedicated to improving outcomes for health care practitioners and their patients. Our in-depth knowledge of non-opioid pain management, coupled with our passion for advancing patient care, drives our commitment to providing solutions that address unmet medical needs and improve clinical results. Why work with us? Rarely do you have an opportunity to do work that really matters. What drives us is our mission. What makes us successful are our people. At Pacira, you are part of an inclusive culture that fosters collaboration, growth, and innovative thinking - a place where you can make an impact and help change the standard of care in non-opioid pain management. Be part of our movement, let’s pursue excellence together. Summary:The Associate Director of Medical Economics Research drives real-world patient health and economic outcomes research to support Pacira products. This role involves designing and executing studies, leveraging secondary data sources (e.g., administrative claims, EHR/EMR), and utilizing statistical programming tools to generate insights that inform clinical and business strategies. The Associate Director serves as a subject-matter expert on secondary databases and computing environments, ensuring robust data analysis and clear communication of findings to stakeholders. This position also contributes to publications and assists in aligning research outputs with business objectives. Essential Duties & Responsibilities:The following statements are intended to describe the general nature and level of work being performed by an individual assigned to this job. Other duties may be assigned.

Design and execute real-world retrospective and prospective cohort studies to evaluate clinical and economic outcomes.
Define patient cohorts and health/economic outcomes to support pipeline and post-marketing products.
Utilize and manage secondary databases (e.g., administrative claims, EHR/EMR) to extract, clean, and analyze data.
Serve as a subject-matter expert in secondary databases, working across computing environments, including external platforms (e.g., ResDec for CMS databases) and internal cloud systems.
Develop and implement statistical analysis plans, ensuring appropriate selection and application of conventional and novel methods.
Conduct programming for data processing, statistical analysis, and data management using tools like SAS, R, Python, or SQL.
Generate statistical outputs to support internal business strategies and external publications.
Draft and review sections of manuscripts for evidence generation, focusing on methods, results, and discussion.
Assist in developing presentation materials to communicate findings to internal and external stakeholders.
Maintain awareness of new statistical methods, tools, and data sources to ensure research reflects the latest scientific standards.
Support other real-world evidence studies and data analytics as needed, collaborating with analytical teams.

Supervisory Responsibilities:This position may have supervisory responsibilities. Interaction:The incumbent works with internal teams (corporate, medical, and sales), and vendors. Education and Experience:

Master’s degree or higher in epidemiology, biostatistics, psychometrics, computer science, or a related field.
At least 8-10 years of hands-on analytical and research experience.
Proficiency in statistical programming (SAS, R, Python, or similar).
Experience with large administrative or medical records datasets.
Expertise in statistical modeling, including multivariable analysis, repeated measures, and non-randomized designs.
Strong knowledge of epidemiology, including disease etiology, incidence, prevalence, and treatment patterns.
Familiarity with advanced analytics and data interpretation is preferred.
Experience writing protocols and drafting statistical methods sections for studies is a plus.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily, planning their time to meet both short-