Batching Operations Specialist

MSD; De Soto (KS); On-site; USD 49,000 - 77,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) Retirement Plan

Paid Holidays

Vacation

Compassionate & Sick Days

Job summary

MSD in De Soto, KS is seeking an Operations Support Engineer (P1) to join the Production Operations Team. The role supports SME-level problem solving, deviation handling, and change management, while collaborating with BTS, Engineering, Quality, and R&D to improve production processes.

The position emphasizes Lean Six Sigma, project management, and data-driven decision making, with a focus on safety, quality, and timely production schedules.

Qualifications

• Experience in biological manufacturing environments and GMP operations.
• Strong analytical and problem-solving capabilities with data-driven mindset.
• Proficiency in SOP writing, production scheduling, and equipment operation.

Responsibilities

• Act as SME representing the department for continuous improvement, problem solving, deviation and change management.
• Support safety and quality compliance with EHS and cGMP standards.
• Assist in production planning and project portfolio execution, driving Lean Six Sigma and Change Management initiatives.

Skills

Analytical Problem Solving

Biological Manufacturing

Cleanroom Gowning

Computer Literacy

GMP Operations

Good Manufacturing Practices (GMP)

Laboratory Processes

Machinery Operation

Manufacturing Quality Control

Packaging Operations

Pharmaceutical Manufacturing

Production Scheduling

Shift Work

SOP Writing

Vaccine Production

Job description

MSD in De Soto, KS is seeking an Operations Support Engineer (P1) to join the Production Operations Team. The role supports SME-level problem solving, deviation handling, and change management, while collaborating with BTS, Engineering, Quality, and R&D to improve production processes.

The position emphasizes Lean Six Sigma, project management, and data-driven decision making, with a focus on safety, quality, and timely production schedules.