AstraZeneca

Data Scientist

AstraZeneca • $120K — $150K *
Santa Monica, CA 90405In-Person
Pharmaceuticals & Biotech
5 - 7 years of experience
2 weeks ago
Job Overview by Ladders

Qualifications

  • 5+ years of experience with a BS/BA, or 3+ years with an MS/MA, or 1+ year with a PhD in data science or related field.
  • Deep hands-on experience with scRNA-seq data analysis techniques.
  • Strong background in next-generation sequencing (NGS) workflows.
  • Proficiency in Python and R for analytical pipeline development.
  • Experience with cloud computing or high-performance computing environments.

Responsibilities

  • Lead bioinformatics and data science projects involving scRNA-seq data.
  • Apply advanced statistical and machine learning methods to single-cell data.
  • Integrate scRNA-seq data with other data types for clinical applications.
  • Analyze scTCR-seq data for T-cell characteristics in clinical studies.
  • Design custom analytical tools for immunology research questions.
  • Collaborate with cross-functional teams to translate analytics into clinical insights.
  • Establish scalable data architectures using cloud platforms.

Benefits

  • Collaborative working environment with biologists and clinicians.
  • Opportunity to work on cutting-edge single-cell analytics.
  • Flexible working conditions to adapt to project needs.
  • Access to high-performance computing resources.
  • Engagement with emerging technologies and methodologies in single-cell research.
Full Job Description
Key Responsibilities

  • Lead bioinformatic and data science efforts focused on single-cell RNA-seq (scRNA-seq) data, including experimental design support, data processing, quality control, and downstream analysis.
  • Apply advanced statistical, machine learning, and AI methods to single-cell transcriptomic data to identify cell states, trajectories, biomarkers, and mechanistic insights relevant to clinical outcomes.
  • Integrate scRNA-seq data with complementary data types (e.g., bulk RNA-seq, genomics, clinical metadata) to support translational and clinical decision-making.
  • Analyze and interpret single-cell TCR sequencing (scTCR-seq) data to characterize T-cell clonality, diversity, and clonal dynamics in clinical cell therapy studies.
  • Integrate scRNA-seq and scTCR-seq data to link T-cell receptor repertoire features with transcriptional states, phenotypes, and clinical outcomes.
  • Design and implement custom analytical tools and models tailored to cell therapy and immunology research questions.
  • Collaborate closely with biologists, clinicians, and cross-functional teams to translate single-cell analytics into actionable insights for ongoing clinical programs.
  • Contribute to the development of analytical models for clinical NGS and single-cell data in regulated environments.
  • Establish and maintain reproducible, scalable data architectures using cloud platforms and/or high-performance computing resources.
  • Build and manage code repositories, documentation, and best practices for single-cell data analysis.
  • Communicate complex analytical methods and findings through clear reports, visualizations, presentations, and collaborative discussions.
  • Stay current with emerging single-cell technologies, methods, and tools, and proactively incorporate them to improve analytical approaches.


Essential Qualifications, Skills and Experience

Education & Experience
  • 5+ years of relevant experience with a BS/BA,
  • or 3+ years with an MS/MA,
  • or 1+ year with a PhD
  • in data science, computational biology, bioengineering, or a related field, with relevant post-graduate experience.

Technical & Scientific Expertise

  • Deep hands-on experience with single-cell RNA-seq data analysis, including normalization, batch correction, clustering, annotation, trajectory inference, and differential expression.
  • Strong background in NGS workflows, with emphasis on single-cell experimental platforms and data characteristics.
  • Proficiency with single-cell immune repertoire sequencing concepts, including clonotype definition, diversity metrics, and longitudinal clonal tracking.
  • Expertise in bioinformatics and computational biology tools and frameworks commonly used for scRNA-seq and scTCR-seq analysis.
  • Proficiency in Python and R, including development of reproducible analytical pipelines, workflows, and visualizations.
  • Experience working with cloud computing platforms and/or high-performance computing clusters.
  • Solid understanding of statistical methods and their application to single-cell and biomedical data.


Domain Experience
  • Experience in immunology, immune-oncology, or cell therapy research is a strong plus.
  • Ways of Working & Behaviors
  • Team-oriented mindset with the ability to work independently in a fast-paced, collaborative environment.
  • Strong communication skills, with the ability to explain complex analytical concepts to non-experts.
  • Flexibility to adjust priorities and contribute beyond the initial scope as project needs evolve.


Date Posted
15-may-2026

Closing Date
21-may-2026

About AstraZeneca

AstraZeneca is a British-Swedish multinational pharmaceutical company that specializes in the research, development, and manufacturing of prescription drugs. The company was formed in 1999 through the merger of Astra AB and Zeneca Group plc. AstraZeneca's products are used to treat a wide range of medical conditions, including cancer, cardiovascular disease, respiratory disease, and diabetes. The company has operations in over 100 countries and employs more than 76,000 people worldwide. AstraZeneca is committed to developing innovative medicines that improve the health and well-being of people around the world.
Learn more about AstraZeneca
Size
83,100 employees
Market Cap
$211.5 billion
Industry
Pharmaceuticals & Biotech
Net Income
$3.1 billion
Founded
1999
5 Year Trend
+10.2%
Revenue
$26.6 billion
NASDAQ
AZN
* Ladders Estimates

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