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Senior Data Scientist, Digital and Data Science – Analytical Sciences

Plats Santa Monica, California, United States Jobb-id R-234553 Datum inlagd 09/04/2025

As the Senior Data Scientist within Digital and Data Science for the Analytical Sciences department, you will lead the design, testing, and validation of digital solutions and data science applications that improve analytical methods and accelerate laboratory digitalization. You will manage important projects that drive operational and data automation, architect fit-for-purpose technologies to transform analytical workflows, and establish best practices across teams. Partnering with assay development scientists, you will define strategy and deliver advanced analytics to support process development, product characterization, and testing methodologies for novel engineered cell therapy products. You will collaborate with the Process Sciences, Analytics, and Technology (PSAT) team and the Quality organization within Cell Therapy Development & Operations (CDTO), building internal and external capabilities and mentoring junior team members. You will report to the Associate Director, Analytical Sciences, and can be performed from either Santa Monica, CA.

You Will:

  • Lead end-to-end development of statistical and ML solutions for analytical method development, robustness, and lifecycle management (design, qualification, validation, transfer).

  • Architect scalable data pipelines and analytics platforms integrating instrument data, LIMS/ELN, MES/historians, and cloud environments; ensure data integrity (ALCOA+) and traceability.

  • Design and implement DoE, multivariate analysis, chemometrics, and advanced modeling (e.g., mixed effects, Bayesian, time-series, anomaly detection) to optimize assays and processes.

  • Implement and govern MLOps/SDLC practices (versioning, CI/CD, model registry, monitoring) and champion code quality, testing, and documentation.

  • Establish analytical dashboards and SPC/control charts for method performance

  • Lead lab digitalization projects, including instrument connectivity and data automation workflow orchestration, and template standardization.

  • Evaluate, select, and manage vendors/partners for analytics, data platforms, and instrumentation integrations; drive successful technology transfers with third parties.

  • Serve as a senior technical partner to PSAT and Quality within CDTO to align analytics solutions with regulatory expectations and operational needs.

  • Translate scientific questions into analytical roadmaps, define success KPIs, and communicate results and risks to all stakeholders.

  • Mentor and upskill scientists and data practitioners; conduct code and study design reviews; set standards for reproducible research.

  • Lead computerized system validation/assurance (CSV/CSA) for analytics tools and models, incorporating 21 CFR Part 11, data integrity, and GxP considerations.

  • Author and review validation plans/reports, SOPs, and technical documentation supporting regulatory interactions and audits.

You Have:

  • Eight (8) years with BS/BA, or seven (7) years with MS/MA in data science, computational biology, bioengineering, or a related field with relevant post-graduate experience.

  • Statistical/ML expertise: strong foundation in experimental design (screening/optimization, response surface), regression and GLMs, mixed models, multivariate analysis, clustering, time-series, and Bayesian methods; proficiency with chemometrics for analytical data.

  • Programming and platforms: expert in Python or R; SQL; experience with Git, Docker, and CI/CD; hands-on with cloud analytics (AWS/Azure/GCP) and tools such as Databricks, Snowflake, MLflow/Kubeflow, Airflow/Prefect.

  • Laboratory/analytical domain: experience with common analytical modalities and data structures (e.g. flow cytometry, imaging, plate readers, immunology assays, oOmics analysis) and integration with ELN/LIMS.

  • Demonstrated ability to lead cross-functional initiatives, influence without authority, and present complex analyses to senior stakeholders.

  • Working knowledge of GxP environments, data integrity, and 21 CFR Part 11; experience authoring validation documentation.

The annual base salary for this position ranges from $110,597 to $165,896. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).

Our Benefits:

  • A qualified retirement program [401(k) plan]

  • Paid vacation, holidays, and paid leaves

  • Health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

#celltherapy #LI-Onsite

Date Posted

03-Sep-2025

Closing Date

25-Nov-2025

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.



AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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