Senior Scientist Engineer Investigator

SOKOL GxP Services

  • Madison, New Jersey
  • 16 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationMadison, New Jersey

    Description

    Description

    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.

    Similar Jobs