Associate Director, Quality Engineer/Data Science
Allogene Therapeutics
Job Description
About Allogene:
- Develop and execute strategy and roadmap to establish quality data science as a core capability for building allogeneic platform knowledge and establish data analytics to enable predict and prevent capabilities across GMP operations.
- Provide direction and input to project teams utilizing the principles of applied science and statistics to drive strategies for process and analytical understanding and overall product quality control, including approaches for product comparability, process validation, product monitoring, stability trending and lifecycle management/improvement.
- Contribute to the build out of the Allogene GMP Quality Management System by developing procedures and providing significant input and support to Product Quality Review and Management Review tools and practices.
- Serve as company authority on quality data science and QE activities in support of regulatory submissions and inspections, including assuring inspection readiness.
- Support root cause investigations and ensure data-driven decision making.
- Champion the use of data analytics and operational excellence tools to drive process improvement and innovation across the Allogene enterprise.
- Integral member of cross-functional teams to garner interdisciplinary insights (e.g. technical, clinical) to further accelerate Allogene's leading approach to the establishment of an "off-the-shelf" allogeneic CAR T platform.
- Collaborate across functions and stakeholders to develop a Knowledge Management approach for Allogene.
- Routinely scan external environment and engage in industry forums to proactively identify and implement best practices and new technologies.
- BS/MS degree in Statistics, Data Science, or related field (advanced degree preferred), ASQ Quality Engineer certification preferred, with at least 6-8 years of relevant experience in the biotechnology or pharmaceutical industry.
- Strong expertise in applied statistics (e.g., DoE, multivariate analysis, regression, time-series).
- Hands-on experience with tools such as R, Python, JMP, SAS, or equivalent.
- Experience working with complex data from laboratory, process, or manufacturing systems and ability to translate complex data insights into actionable business recommendations.
- Familiarity with visualization tools.
- Comprehensive knowledge of GMP regulations, guidance, and industry best practices.
- Proven success influencing cross-functional teams and senior stakeholders without direct authority.
- Comfortable in a fast-paced small company environment and able to adjust workload based upon changing priorities.
- Candidates must be authorized to work in the U.S.
We offer a chance to work with talented people in a collaborative environment and provide a top-notch compensation and benefits package, which includes an annual performance bonus, equity, health insurance, generous time off (including 2 annual holiday company-wide shutdowns) and much more. The expected salary range for this role is $170,000 to $210,00 per year. Actual pay will be determined based on experience, qualifications, geographic location, business needs, and other job-related factors permitted by law. As an equal opportunity employer, Allogene is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state and local laws. We also embrace differences in experience and background, and welcome diversity of opinions and thought, designed to create a stronger and better Allogene that is focused on developing life-changing products for patients. #LI-KD1 #LI-Hybrid
Vacancy posted 5 days ago
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