Data Scientist
Not Disclosed•Full-TimeOn-site
location_onOcean Court, Downtown Santa Monica, Santa Monica, Los Angeles County, California, 90401, United States
About the Role
This position serves as a strategic bridge between advanced computational analysis and clinical decision-making. You will lead bioinformatic and data science efforts centered on single-cell RNA-seq (scRNA-seq) and T-cell receptor sequencing (scTCR-seq). The role exists to transform complex transcriptomic and immune repertoire data into actionable biological insights that drive cell therapy research and clinical outcomes.
In this capacity, you will design and implement custom analytical models tailored to immunology questions, integrating scRNA-seq with complementary data types such as bulk RNA-seq and clinical metadata. Your work will directly support translational programs by characterizing T-cell clonality, diversity, and dynamics, while linking receptor features to specific transcriptional states and phenotypes. You will be responsible for establishing reproducible, scalable data architectures on cloud or high-performance computing resources, ensuring that analytical pipelines meet the rigor required for regulated environments.
Working Environment
You will operate within a fast-paced, collaborative environment where a team-oriented mindset is essential. Success in this role requires the ability to work independently while maintaining close collaboration with biologists, clinicians, and cross-functional teams. A key aspect of the day-to-day involves translating complex analytical concepts into clear reports, visualizations, and presentations for non-expert stakeholders. Flexibility is crucial as you adjust priorities to meet evolving project needs and proactively incorporate emerging single-cell technologies to improve analytical approaches.
Work location
Work model: On-site
Ocean Court, Downtown Santa Monica, Santa Monica, Los Angeles County, California, 90401, United States
Santa Monica, California
Key Responsibilities
- check_circleApply advanced statistical, machine learning, and AI methods to identify cell states and biomarkers
- check_circleDesign and implement custom analytical tools and models for cell therapy research
- check_circleEstablish and maintain reproducible, scalable data architectures using cloud platforms
- check_circleBuild and manage code repositories, documentation, and best practices for data analysis
- check_circleCommunicate complex analytical methods and findings through reports and presentations
- check_circleLead bioinformatic and data science efforts focused on single-cell RNA-seq data analysis
- check_circleIntegrate single-cell data with genomics and clinical metadata to support translational decision-making
- check_circleAnalyze single-cell TCR sequencing data to characterize T-cell clonality and diversity
Requirements
- verified5+ years experience with BS/BA
- verified3+ years experience with MS/MA
- verified1+ year experience with PhD
- verifiedBS/BA in data science, computational biology, bioengineering, or related field
- verifiedMS/MA in data science, computational biology, bioengineering, or related field
- verifiedPhD in data science, computational biology, bioengineering, or related field
- verifiedProficiency in Python
- verifiedProficiency in R
- verifiedExperience with cloud computing platforms
- verifiedExperience with high-performance computing clusters
- verifiedDeep hands-on experience with single-cell RNA-seq data analysis
- verifiedStrong background in NGS workflows
- verifiedProficiency with single-cell immune repertoire sequencing concepts
- verifiedExpertise in bioinformatics and computational biology tools
- verifiedSolid understanding of statistical methods
Nice to Have
Experience in immunology, immune‑oncology, or cell therapy research.