Resilience

Resilience

Analyst II, QC Microbiology

USA - OH - West Chester · Mid · Contract

Sponsorship not specified$60k-$86kDetected 9 days ago
Process ImprovementGMPProblem Solving

About the role

  • Read SOPs (Standard Operating Procedures) and excerpts from technical documentation.
  • Write, review, and revise SOPs (Standard Operating Procedures) and/or work instructions for cGMP (Good Manufacturing Practices) manufacturing of commercial product.
  • Gather, organize, and communicate operational information to others.

Responsibilities

  • Assist with coordinating activities of support groups.
  • Use MAXIMO and/or CMMS (Computerized Maintenance Management System) to manage logistics.
  • Sponsorship or support for work authorization, including visas, is not available for this position.

Requirements

  • Working knowledge of cGXP requirements and a strong familiarity with production operations.
  • Complete required training and may train others.
  • Demonstrates proficiency on authoring Quality records (Deviations, CAPAs, and Change Controls).

Nice to have

  • Bachelor's degree in biology, microbiology, or related discipline.
  • At least 2 year of laboratory experience in pharmaceutical industry.
  • Prior experience supporting microbiological testing in a sterile pharmaceutical operation environment.
  • This position may also include the following conditions:
  • This role is primarily non-sedentary.
  • May include but not limited to standing, walking, repetitive motion, and chemical usage.
  • The items described here are representative of those that must be met successfully to perform the essential functions of this job.
  • Resilience is an Equal Employment Opportunity Employer.

Compensation

  • Our target base pay hiring range for this position is $60,000.00 - $86,250.00 per year.

Visa & Work Authorization

  • Sponsorship or support for work authorization, including visas, is not available for this position.

This listing is sourced directly from Resilience's careers page and normalized into a canonical job model.