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Sr Associate Scientist, Data Analytics -Cell Therapy

United States - California - Santa MonicaProcess/Product Development & OperationsRegular
sich bewerben

Arbeitsbeschreibung

Job Overview

We are seeking a highly motivated data scientist to develop and deploy data analytics and infrastructure solutions that enhance process performance, product manufacturability, and scalability for cell therapy development. This role bridges method development and IT, integrating data pipelines, cloud infrastructure, and automation to streamline workflows. The ideal candidate will leverage data engineering, visualization tools, and cloud computing to build scalable analytics platforms, enabling real-time insights into manufacturing processes. They will also establish and document data workflows, ensuring seamless integration, analysis, and visualization across platforms.

Key Responsibilities

  • Develop and deploy data pipelines, dashboards, and cloud infrastructure to automate lab processes and enhance data accessibility

  • Design data workflows for analysis, visualization, and predictive modeling across flow cytometry and molecular biology platforms

  • Assess and implement new data analytics and business intelligence tools to drive continuous process improvements

  • Lead cross-functional collaborations, compiling specialized reports and data visualizations using scientific and business reporting applications

  • Author, review, and edit technical documents, including SOPs and reports, detailing data analytics workflows

Qualifications

  • BS with 5 years or MS with 3 years of relevant experience in data science, computational biology, or related fields

  • Strong background in data engineering, cloud computing, and automation

  • Experience in database development (SQL, MongoDB) and visualization tools (RShiny, Plotly Dash)

  • Expertise in analyzing next-generation sequencing, microarray, qPCR datasets, with knowledge of scRNAseq, CITEseq, TCRseq

  • Proficiency in statistical software (JMP, SPSS, SAS) and programming languages (R, Python)

  • Familiarity with AI/ML algorithms, cloud environments (AWS, S3 buckets), and data science infrastructure (Databricks, H2O.ai)

  • Knowledge of GxP and GMP, lab instrument automation, and IT infrastructure development is a plus

  • Strong communication, problem-solving, and troubleshooting skills

  • Ability to thrive in a fast-paced, dynamic environment with minimal direction