We are looking for a Senior Scientist specializing in Statistical Process Control (SPC) and Data Analytics to support a Global Manufacturing Science & Technology (MSAT) team within the pharmaceutical industry. This role combines hands-on data preparation, applied statistical analysis, and coding to support manufacturing process monitoring, reporting, and continuous improvement. The ideal candidate is comfortable working with R or Python, preparing and validating datasets, applying statistical methods, and improving analytical workflows. Experience with AI-assisted coding tools is welcome. Key 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; • Execute 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. Position details: • Hourly rate: $55.80–$60.80; • Contract length: Initial 6 months with possible extension, subject to client needs and budget approval; • Location: Madison, NJ 07940 (Giralda Farms); • Work arrangement: Hybrid, 50% onsite with flexible onsite days; • Schedule: Monday–Friday, 9 AM–5 PM EST, with core hours of 10 AM–4 PM EST; • Maximum hours: 40 hours per week; • Travel: Up to 10% globally; • W-2 contract position; • No C2C options; • No visa sponsorship. Requirements Required: • Bachelor's degree in Life Sciences, Biotechnology, Engineering, Statistics, Data Science, or a related discipline; • 5+ years of pharmaceutical experience in a GMP-regulated environment; • 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 statistical process control (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. Preferred: • 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. Benefits • Health insurance with dental and vision insurance options. • Holiday pay. • 401(k) program. • Employee referral bonus program. • The client retains the right to hire the contractor directly.