Manager, Statistical Programming

Pacira Pharmaceuticals, Inc.Parsippany-Troy Hills, NJ
13h

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 Manager, Statistical Programming will work in Statistical Programming group to manage and support Statistical Programming deliverables for clinical studies.

Requirements

  • Bachelor’s degree or above in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject, or equivalent related experience required.
  • Minimum 2+ years' clinical research and development programming experience using SAS or advanced degree required.
  • Knowledge of SDTM and ADaM standards, able to write CDISC standard dataset specifications and follow specifications to create SDTM and ADaM datasets (as needed)
  • Computer programming using SAS essential, and experience with R and Python desirable
  • Fundamentals of project planning and management
  • Drug development process
  • Excellent verbal and written communication skills
  • Ability to effectively collaborate in a dynamic environment
  • Expert level SAS programmer with experience in delivering on complex programming assignments and analysis
  • Expert level knowledge and extensive hands-on experience of CDISC methodologies
  • Experience leading or working with centralized teams for Statistical Programming
  • Experience in FDA/EMEA/CFDA trial and regulatory submissions
  • Experience with the drug development process (pre-, early, late and/or observational) in related industries or academic research

Responsibilities

  • Technical lead and project manager for multiple studies managing all aspects of study deliverables related to statistical and clinical programming as needed
  • Represent the statistical programming team at Study Management Team and Clinical Development meetings to address deliverables and timelines
  • Address resourcing to adequately staff projects as needed
  • Assist in the review of key study-related documents produced by other functions, e.g. SAP, case report form, data management plan, database specifications, EDC data structures, DMC plans and other clinical documents
  • Write, test, and validate SAS programs to produce analysis datasets, TLGs and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications as needed
  • Understand and execute department-, product- and study-level macros and utilities. Write, test, and validate product- and study-level macros and utilities
  • Be a technical resource for programming group to provide advice on complex programming tasks and/or standards.
  • Contribute to the development review of Statistical Programming policies, standard operating procedures, and other controlled documents
  • Interface with outsourcing partners and vendor

Benefits

  • Medical, Prescription, Dental, Vision Coverage
  • Flexible Spending Account & Health Savings Account with Company match
  • Employee Assistance Program
  • Mental Health Resources
  • Disability Coverage
  • Life insurance
  • Critical Illness and Accident Insurance
  • Legal and Identity Theft Protection
  • Pet Insurance
  • Fertility and Maternity Assistance
  • 401(k) with company match
  • Flexible Time Off (FTO) and 11 paid holidays
  • Paid Parental Leave
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