Overview
Quality Control Analyst I/Manufacturing/Quality 1st Shift Jobs in Pearl River, New York, USA at Mindlance
Position: USA-Quality Control Analyst I (Manufacturing/Quality) 1st Shift
Location: Pearl River
The QC Micro team in Pearl River is a diverse group of individuals, with varying degrees of experience, who are quality-oriented and can continuously deliver high-quality results while remaining compliant with the changing regulations associated with the pharmaceutical industry. We are singularly focused on delivering the safest product to our end-user (the patient) in an efficient and compliant manner. This is a dynamic and flexible group, capable of switching gears at a moment’s notice.
Main responsibilities:
Bioburden/ Microbial Enumeration, Endotoxin, Microbial Identification/ Streaking Techniques, Growth Promotion, BCA, TOC and Conductivity Testing
Plate reading, sample release, paperwork, data review and data input into computerized systems.
Review and creation of standard operating procedures.
Data entry/ data analysis of all sample results (EM and Utilities Testing, In-Process and Batch-Related).
Receipt and storage of all samples coming into the QC Micro Lab.
Assist management with investigations/ CAPA’s/ Change Controls, as needed.
Development into duties beyond those described is possible for more qualified candidates based on the business needs and candidate’s background.
About you
Education: Bachelor’s degree required, preferably in a Science discipline:
Chemistry, Biochemistry, Microbiology or Pharmacy
Experience: Academic experience in Microbiological Testing preferred.
Technical Skills: Aseptic Technique
Soft Skills:Strong work ethic, self-starter, critical thinking
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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Title: Quality Control Analyst I/Manufacturing/Quality 1st Shift
Company: Mindlance
Location: Pearl River, New York, USA
Category: Quality Assurance – QA/QC, Healthcare (Data Scientist)
