Associate Director, Quality Engineer/Data Science
Allogene Therapeutics · South San Francisco, CA
$170,000–$210,000
Jul 6, 2026
South San Francisco, CA
Jul 20, 2026
What this job asks for AI summary
This role sits within the Quality function of a clinical-stage cell therapy company and is focused on building a data science and quality engineering capability from the ground up. Day-to-day work spans applying statistical methods and machine learning to GMP manufacturing and process data, shaping product quality control strategies across the product lifecycle, and supporting regulatory submissions and inspections. It suits someone with a strong applied statistics background and biotech/pharma GMP experience who can translate complex data into operational decisions.
Senior level · 6+ years · San Francisco-Oakland-Berkeley, CA · Bachelor's required · Full-time
Pay in the description: $170,000–$210,000
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $173,851 (middle half $133,298–$217,653). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title 'Associate Director, Quality Engineer/Data Science' carries no standard seniority level word, so advertised seniority is Unspecified; the 6–8 years of required experience and scope of the role support a Senior classification.
The posting lists R, Python, JMP, and SAS together as interchangeable options ('tools such as R, Python, JMP, SAS, or equivalent'); R is used as the primary name with the others captured as alternatives.
Data visualization is listed as 'familiarity with visualization tools' — softer language than the other requirements — and is treated as preferred.
Machine learning is mentioned in the responsibilities/narrative context rather than the formal requirements section, so it is treated as preferred.
The role sits at the intersection of data science and quality engineering in a biotech/GMP context; 15-2051 (Data Scientists) is the primary classification given the emphasis on applied statistics, ML, and data analytics, with 15-2031 (Operations Research Analysts) as a plausible runner-up given the process-improvement and operational analytics focus.
The posting is tagged #LI-Hybrid, confirming an on-site/hybrid expectation at South San Francisco HQ; remote=false.
The posted salary range appears to contain a typo ('$210,00') — interpreted as $210,000 based on context.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multivariate analysis, regression analysis, time-series analysis.
Read the full posting
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