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Statistical Analyst

Job in Parsippany-Troy Hills, Morris County, New Jersey, USA
Listing for: Pacira Pharmaceuticals
Full Time position
Listed on 2026-01-12
Job specializations:
  • Healthcare
    Data Scientist, Clinical Research, Medical Science
  • Research/Development
    Data Scientist, Clinical Research, Research Scientist, Medical Science
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description

About Pacira Pacira Bio Sciences, 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 Statistical Analyst, Biostatistics is responsible for developing statistical analysis designs, writing SAS programs, and providing statistical interpretation in accordance with project and regulatory requirements along with summarizing findings in reports and publications.

Responsibilities

Essential Duties & Responsibilities:

  • Provide statistical analysis inputs and programming in a team environment to address project objectives.
  • Adhere to company and regulatory guidelines in analysis and reporting of statistical findings.
  • Understand and consider complexity of clinical studies while providing analysis of data.
  • Develop optimal models for analysis and interpretation of clinical findings.
  • Create extensive SAS programs with sufficient detail and ease of interpretation to implement potential complex designs of studies, and have a thorough knowledge to implement programs for linear regression models, linear mixed models, generalized linear models, generalized linear mixed models, non-linear models, survival analysis, simulation studies (e.g. MCMC) and power/sample size estimation.
  • Responsible for developing/understanding/adhering to statistical methodologies as set forth in project requirements (e.g., Statistical Analysis Plan [SAP]) and ensuring methodologies are being implemented appropriately.
  • Generate tables, figures and listings (TFLs) for presentation and interpretation of results in accordance with project requirements.
  • Assist in development of documents or presentations as needed.
  • Identify, interpret, and communicate meaningful findings to key individuals (i.e., answer the “so what” questions).
Supervisory Responsibilities

This position does not have supervisory responsibilities. Interaction:
The incumbent will work closely with clinical research and operation, data management, regulatory, publication.

Qualifications

Education and Experience:

  • Bachelor’s degree Math/Statistics/Biostatistics or related field, from accredited college or university. Advanced degree preferred.

At least 3 years of SAS, R and/or Python programming experience required. Independent working knowledge of SAS macros is preferred. Minimum 2 years Assistantship/Internship of statistical experience in university, biotech, pharma, government, or research institutes.

Knowledge, Skills, and Abilities:

  • Proven ability to work independently and in a team environment.
  • Excellent analytical and problem-solving skills
  • Excellent written and verbal English communication skills
  • Demonstrated knowledge of statistical methods and models.
  • The ability to independently write SAS programs in adherence to clinical and statistical objectives.
  • Knowledge of clinical terms, clinical study designs and the drug and/or device approval process.
  • Knowledge of the drug/device approval process is required.
Work Environment

The work setting is consistent of a typical pharmaceutical office environment with offices and cubicles.

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…
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