Associate Director, Advanced Analytics at Pacira BioSciences in Brisbane, CA

  • Company: Pacira BioSciences
  • Location: Brisbane, CA
  • Salary: $155K – $213K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-07-13

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Job description

Overview 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, Advanced Analytics, focuses on extracting insights from various commercial data sources leveraging advanced analytics techniques and tools to support business decision making across marketing, sales, finance, and managed care. Key stakeholders include the Marketing team, Portfolio Strategy, Managed Care and Access teams, Field teams, Commercial Operations, IT, Finance, and Medical Affairs. This role reports to the Senior Director, Commercial Data & Advanced Analytics. The responsibilities include but are not limited to driving in-line and pipeline insights, conducting measurement studies to optimize spend, building predictive models to optimize field and digital promotions, analyzing provider and payer contracts, participating in high-profile strategic assessments, and collaborating with internal stakeholders to drive comprehensive strategies across commercial and advanced analytics. The scope may cover our in-line products including EXPAREL, ZILRETTA, and iovera, pipeline projects including PCRX-201, partnership assessments, and potential M&A opportunities. The ideal candidate will have a strong background in building scalable advanced data analytics, predictive modeling, the analysis of market trends and the competitive landscape, and will partner work closely across the insights and commercial data analytics team to uncover opportunities to generate further value for patients and address unmet needs in the pain and regenerative health space. Responsibilities 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. -With minimal guidance, deliver impactful commercial advanced analytics projects to guide business decision making. -Answer key business questions and identify business opportunities by analyzing data from industry (e.g., anonymized, longitudinal patient claims data, remittance claims, payer policy and lives data etc.) and internal (e.g., field, and digital customer interactions, sales data) sources. -Translate insights gleaned from advanced analytics into clear and compelling recommendations for non-technical audiences. -Collaborate closely with cross-functional partners in Insights & Analytics, Marketing, Managed Care, Field, Commercial Operations, and IT to deliver on advanced analytics projects. -Beyond core activities, advanced analytics deliverables may include the following: Market access and contracting analytics, including payer-plan segmentation, pull-through analysis, rebate optimization, and evaluation of contract effectiveness across payer, GPO, IDN, and customer agreements. Analysis of contracted customer performance, including utilization trends, compliance, pre/post contract impact, and identification of opportunities to improve access, pull-through, and net revenue outcomes. Patient analytics using Real-World Data sources such as anonymized longitudinal patient claims data, lab/diagnostic testing data, etc. Evaluation and optimization of channel performance and ROIs of digital channels in an omnichannel environm

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