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Statistician - II

Job in Rahway, Union County, New Jersey, 07065, USA
Listing for: WorkLlama, Inc.
Full Time position
Listed on 2026-02-23
Job specializations:
  • Healthcare
    Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Qualifications Education and Minimum Requirement

  • Masters in statistics/biostatistics or related discipline with a minimum of 3 years relevant work experience, or PhD or equivalent degree in statistics/biostatistics or related discipline with a minimum of 1 year relevant work experience.
Required Skills and Experience
  • Solid knowledge of statistical analysis methodologies and experimental design.
  • Strong hands‑on experience and working knowledge of statistical and data processing software e.g. SAS and/or R.
  • Must also demonstrate the ability to learn, be proactive and motivated, and consistently focus on details and execution.
  • Strong oral and written communication skills. Able to function effectively in a team environment.
Preferred Skills and Experience
  • Proven experience applying DOE to real‑life industry problems.
  • Experience in reliability analysis and acceptance sampling
Notes
  • Hybrid schedule with plenty of flexibility. Schedule can be discussed with the manager when on assignment.
  • Hybrid – Work location to choose from either UG,PA or Rahway, NJ (preferred)
  • Preferred candidate would be someone who has experience in the industry
    - Biopharma/Medical device/ Pharma-internships-actual co-op with the companies/industry for minimum 3 years.
  • Experience with Design of experiments. Exposure working with other scientists.
Responsibilities Research CMC Statistics General Responsibilities
  • Develop study design (DOE), statistical analysis, and reported output.
  • Engage with scientists as necessary to understand requirements to design study experiments and discuss results.
  • Experiment design entails having joint conversations with scientists to discuss the issues and constraints on study design and execution.
  • Generate study reports as needed.
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