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Sr Process Engineer

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Onsite

Sr Process Engineer

Katalyst Healthcares & Life Sciences

Sr Process Engineer

Skills

Data AnalysisProcess ImprovementSupply ChainPower BI

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

14 September 2026

What they need


Roles and Responsibilities:

  • Serve as a technical process owner for peptide manufacturing operations, including SPPS, purification, and lyophilization.
  • Support manufacturing teams during batch execution and provide real-time technical troubleshooting on the floor.
  • Monitor critical process parameters and key performance indicators across peptide manufacturing processes.
  • Collect, analyze, and trend manufacturing data to identify process variability, yield losses, bottlenecks, and improvement opportunities.
  • Develop and maintain manufacturing dashboards tracking yield, cycle time, solvent usage, throughput, batch success rate, and right-first-time metrics.
  • Evaluate coupling efficiency, resin performance, deprotection efficiency, impurity formation trends, and other process indicators related to SPPS performance.
  • Identify and implement improvements to reaction conditions, cycle parameters, manufacturing practices, and process controls.
  • Lead initiatives to improve product yield, throughput, cycle time, overall equipment effectiveness, and process robustness.
  • Apply Lean Manufacturing, Six Sigma, statistical analysis, and structured root cause analysis tools to reduce waste and process variation.
  • Lead or support investigations related to process excursions, atypical results, yield losses, manufacturing deviations, and equipment/process issues.
  • Use tools such as Fishbone Analysis, 5 Why Analysis, FMEA, and Statistical Process Control to identify root cause and drive corrective actions.
  • Author and revise SOPs, Master Batch Records, process descriptions, manufacturing instructions, technical reports, and process performance summaries.
  • Support deviation investigations, CAPAs, change controls, risk assessments, process validation, and continued process verification activities.
  • Ensure technical documentation is accurate, complete, and compliant with cGMP requirements.
  • Partner cross-functionally with Operations, Engineering, Quality, Supply Chain, and site leadership to improve manufacturing performance.
  • Support implementation of new equipment, technologies, and manufacturing systems.
  • Participate in production planning, operational excellence reviews, and process improvement meetings.
  • Provide technical mentoring and training to manufacturing personnel on process understanding and best practices.

Education and Experience:

  • Bachelor's degree in Chemical Engineering, Chemistry, Biochemistry, Pharmaceutical Sciences, Biotechnology, or a related field.
  • 3 7 years of experience in pharmaceutical, biotechnology, peptide manufacturing, API manufacturing, or related chemical processing environments.
  • Hands-on experience supporting GMP manufacturing operations, investigations, and process validation activities.
  • Direct experience with Solid-Phase Peptide Synthesis.
  • Experience analyzing manufacturing process data and implementing process improvements.
  • Strong technical troubleshooting skills with the ability to identify root cause and implement sustainable corrective actions.
  • Experience authoring or revising GMP documentation, including SOPs, batch records, technical reports, deviation investigations, CAPAs, change controls, or risk assessments.
  • Strong cross-functional collaboration skills and the ability to work closely with Manufacturing, Quality, Engineering, and Supply Chain teams.
  • Clear communication skills with the ability to translate technical process observations into actionable recommendations.

Nice to Have:

  • Master's degree or Ph.D. in Chemical Engineering, Chemistry, Biochemistry, Pharmaceutical Sciences, Biotechnology, or a related field.
  • Experience in commercial-scale peptide manufacturing.
  • Experience with process monitoring, Statistical Process Control, and process capability assessments.
  • Lean Six Sigma Green Belt or Black Belt certification.
  • Experience using statistical software and data analysis tools such as Minitab, Power BI, Excel advanced analytics, or similar tools.
  • Experience in a startup or rapidly growing manufacturing organization.

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