About The Position

The Senior Scientist specializing in Statistical Process Control (SPC) and Data Analytics supports a Global Manufacturing Science & Technology (MSAT) team in the pharmaceutical industry. The role combines hands-on data preparation, applied statistical analysis, and coding to support manufacturing process monitoring, reporting, and continuous improvement. The position is hybrid, based in Madison, New Jersey, with 50% onsite work and flexible onsite days. The schedule is Monday–Friday, 9 AM–5 PM EST, with core hours of 10 AM–4 PM EST; the maximum is 40 hours per week. Global travel of up to 10% may be required. This is a W-2 contract initially for six months, with a possible extension subject to client needs and budget approval. The hourly rate is $55.80–$60.80. No C2C arrangements or visa sponsorship are available. The client may hire the contractor directly.

Requirements

  • Bachelor's degree in Life Sciences, Biotechnology, Engineering, Statistics, Data Science, or a related discipline.
  • At least 5 years of pharmaceutical experience in a GMP-regulated environment.
  • At least 3 years of experience in data management and analytics.
  • Hands-on coding experience using R or Python for data preparation, manipulation, analysis, or reporting.
  • Ability to assess data completeness, identify inconsistencies, and prepare reliable datasets for statistical analysis.
  • Practical experience applying statistical methods, including SPC, process monitoring, capability analysis, or comparative statistics.
  • Demonstrated project experience applying coding and statistical analysis to real business or technical problems.
  • Strong analytical thinking, problem-solving, and technical communication skills.
  • Ability to collaborate with cross-functional stakeholders and work effectively within a matrix team.
  • Authorization to work in the United States without visa sponsorship.

Nice To Haves

  • Experience in pharmaceutical manufacturing, process development, analytical development, or MSAT.
  • Experience with Continued Process Verification (CPV) and Annual Product Quality Review (APQR).
  • Experience supporting statistical process monitoring in commercial cell therapy or biopharmaceutical manufacturing.
  • Experience with JMP, Minitab, or other statistical analysis software.
  • Experience with control charts, Shewhart charts, Western Electric rules, t-tests, or Wilcoxon tests.
  • Experience with coding automation or AI-assisted coding tools.
  • Experience developing or improving analytical reporting systems.
  • Knowledge of GMP requirements and pharmaceutical manufacturing processes.
  • Experience with matrix leadership, project coordination, or stakeholder negotiation.

Responsibilities

  • Prepare, clean, merge, validate, and analyze manufacturing and quality datasets using R or Python.
  • Apply statistical process control (SPC), control charts, process capability analysis, and comparative statistical methods.
  • Monitor process performance, identify trends, investigate statistical alerts, and communicate findings.
  • Perform routine and ad hoc analyses and prepare reports and presentations for stakeholders.
  • Improve analytical tools, data preparation workflows, and reporting processes through coding and automation.
  • Support Continued Process Verification (CPV) and Annual Product Quality Review (APQR) activities.
  • Contribute to analytical system configuration, technical documentation, and process improvements.
  • Collaborate with MSAT, Manufacturing, Quality, and other cross-functional stakeholders.

Benefits

  • Health insurance with dental and vision insurance options.
  • Holiday pay.
  • 401(k) program.
  • Employee referral bonus program.
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