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Quality Assurance Specialist

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Oncotelic
Full Time position
Listed on 2026-01-27
Job specializations:
  • Quality Assurance - QA/QC
    Data Analyst
  • Healthcare
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

AI-Enabled Quality Systems | Biotech / GMP Environment

Join a next-generation biotech organization redefining Quality Assurance through AI-enabled knowledge systems.

We are seeking a QA Specialist to support and strengthen our GxP quality framework while leveraging PDAOAI, our proprietary AI platform that transforms static SOP libraries into functional, queryable, decision-support systems.

What You’ll Do
  • Own and maintain GMP / GxP SOPs, policies, and controlled documents across QA, QC, Manufacturing, and Clinical operations.
  • Use PDAOAI to interrogate and cross‑reference SOPs, deviations, CAPAs, and training records.
  • Identify inconsistencies, gaps, and misalignment across the SOP corpus.
  • Translate regulatory guidance into actionable, harmonized procedures.
  • Support deviation investigations, CAPAs, change controls, and risk assessments.
  • Participate in internal audits, vendor audits, and regulatory inspections.
  • Ensure SOPs are not just compliant but operationally executable and inspection‑ready.
  • Collaborate cross‑functionally with CMC, Clinical, Regulatory, and Operations teams.
What Makes This Role Different
  • You will not be maintaining static PDFs.
  • You will functionalize the SOP corpus—turning procedures into living, AI‑assisted quality assets.
  • You will help define how AI augments QA decision‑making, inspection readiness, and continuous improvement.
  • You will work in a culture where Quality is strategic, not administrative.
What We’re Looking For
  • Bachelor’s degree in Life Sciences, Chemistry, Engineering, or related field.
  • 3+ years of QA experience in a GMP / GxP‑regulated environment (biotech, pharma, CDMO, or clinical trials).
  • Strong working knowledge of SOP lifecycle management; deviations, CAPAs, change control; FDA, EMA, ICH, and Annex 1 expectations (as applicable); comfort working with digital systems, structured data, and AI‑assisted tools.
  • Detail‑oriented, systems‑thinking mindset with strong documentation skills.
  • Prior experience with QMS platforms (Veeva, Master Control, Track Wise, etc.) is a plus.
Why Join Us
  • Work with a cutting‑edge AI platform (PDAOAI) purpose‑built for regulated environments.
  • Influence how Quality evolves in the age of AI.
  • High‑impact role with visibility across R&D, CMC, and Clinical programs.
  • Collaborative, science‑driven culture with strong executive engagement.
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