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Biostatistician

Job in Brick, Ocean County, New Jersey, 08724, USA
Listing for: BioPhase
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Data Scientist, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
  • Remote/Hybrid - hybrid in Parsippany, NJ
  • Contract end date: 3/19/27

We are seeking an experienced Biostatistician to support clinical development and post-marketing activities within a pharmaceutical environment. This individual will collaborate with biostatistics, statistical programming, clinical teams, CROs, and external vendors to support the design, analysis, and reporting of clinical studies.

Responsibilities
  • Support biostatistical activities across clinical development and post-marketing programs
  • Contribute to the design, analysis, and reporting of randomized controlled clinical trials
  • Develop and review statistical deliverables and analyses
  • Partner with statistical programmers, clinical teams, CROs, and vendors
  • Support CDISC-compliant data standards, including SDTM and ADaM
  • Apply statistical methodologies to support clinical and regulatory decision-making
  • Communicate statistical concepts and results to technical and non-technical stakeholders
  • Manage multiple projects and timelines while maintaining high-quality deliverables
Qualifications
  • Master's degree in Statistics, Biostatistics, or related field
  • 4+ years of biostatistics experience within the biotechnology or pharmaceutical industry
  • Experience with randomized controlled clinical trials
  • Strong knowledge of clinical trial design, including adaptive designs
  • Extensive hands-on experience with CDISC, SDTM, and ADaM
  • Strong SAS programming experience
  • Knowledge of pharmaceutical regulatory requirements and guidelines
  • Strong communication and cross-functional collaboration skills
Preferred
  • Experience with R
  • Regulatory submission/interaction experience
  • Knowledge of real-world evidence, observational research, or causal inference
  • Experience supporting acute or chronic pain clinical programs
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