Associate Director, RWE Analytics

Pacira Pharmaceuticals, Inc.•Parsippany-Troy Hills, NJ

About The Position

At Pacira, innovation meets purpose. Pacira BioSciences, Inc. is a pioneer in non-opioid pain management and regenerative health solutions. Today, we’re building on that legacy with next-generation innovations for chronic, postsurgical, and musculoskeletal pain. Our culture is built on collaboration, innovation, and a shared commitment to helping patients recover faster. We are redefining what’s possible in pain management—and we can’t do it without talented people like you. Why Join Us? At Pacira, every career is more than a job. Our mission drives us, and every day, we challenge ourselves to achieve the extraordinary. Integrity is at the core of who we are. We value diverse perspectives and the collective strength of a unified team. Join the team in making better possible for patients everywhere. Summary: The Associate Director, RWE Analytics, is the major contributor and driver to the real-world patient health and economic outcome research in support of Pacira products. Working closely with his/her manager, the Associate Director designs pain management studies of clinical/economic burden of diseases, unmet needs of patients, comparative effectiveness of treatments on economic/health outcomes across treatments. Utilizing secondary databases (e.g., administrative claims, EHR/EMR), the Associate Director leads and conducts all aspects of analytics on retrospective and prospective cohort studies, including cohort and outcome definition, cohort extraction, cleaning, management, analysis, and intermediate/final report. Serving as a subject-matter expert in various secondary databases, the Associate Director works in different computing environments, both externally (e.g. ResDec for CMS databases) and internally at Pacira cloud, to facilitate the strengths of databases to address maximize the value proposition of company products and additional business requests. The Associate Director is versed in statistical programming languages such as SAS, R, Python, etc. to perform programming in processing data at various levels, verifies analytical datasets, and applies conventional and novel statistical methods to summarize data and generate clinically meaningful results. The Associate Director assists in publications of evidence generation via review or draft parts of the manuscript sections (e.g., Methods, Results, Discussion). When needed, the Associate Director collaborates with the analytical team and assists in other real-world studies related to data analytics. This position may interact with internal and external stakeholders to ensure appropriate communication of results.

Requirements

A master’s degree or higher in quantitative sciences, e.g., epidemiology, biostatistics, psychometrics, computer science, or a closely related field with at least 10 years of hands-on analytical and research experience is required.
Managing large administrative or medical records databases with SQL or Python programming languages is required.
Statistical analysis with SQL, SAS, R or Python etc. languages is required.
Knowledge of large administrative or medical records databases is required.
Experience in statistical modeling of multivariable analysis, repeated measures, and specific data distribution to conduct clinical and outcome research is required.
Experience with non-randomized designs is required.
Experience with writing protocols in general and particularly the statistical methods sections of study proposals and/or proposal requests is required.
Proven strong and advanced programming and analytical abilities in SAS, SQL, R, Python, etc.
Knowledge of epidemiology and understanding of investigational and observational study designs
Demonstrate experience in conducting observational research and study design, strengths, and limitations.
Ability to prioritize tasks.
Flexibility in response to changing needs and competing demands.
Solutions oriented
Ability to work independently and as a collaborator.
Experience in working with cross-functional, multi-cultural teams.
Good verbal and written communication skills

Nice To Haves

Background in epidemiological material on etiology, incidence and prevalence of specific diseases, conditions, and therapies (e.g., treatment patterns, adherence, effectiveness, etc.) is preferred.
Experience in advanced analytics (e.g., machine learning) and data interpretation is preferred.

Responsibilities

Design real-world retrospective and prospective cohort studies supporting pipeline and post-marketing products.
Define patient cohorts and health and economic outcomes.
Program in data process, management, and statistical analysis on registry and large claims/EHR/EMR databases using SAS/SQL/R/Phyton, etc.
Identify selection and application of optimal and appropriate statistical methods to health and economic outcome studies.
Develop statistical analysis plan and statistical outputs to support internal business strategy and external communications.
Assist in publications of health and outcome research studies including drafting and reviewing sections of methods and results.
Assist in development of presentation material to internal and external stakeholders.
Maintain awareness of new statistical methods, tools, and data sources to ensure that projects represent current state of science, and maintains professional knowledge by reading scientific journals, attending internal and external courses, and undertaking methodological research.