Sandra Jose

About Sandra Jose

Bioinformatics & Multi-Omics-Transcriptomics: Single-Cell/Nuclei RNA-Seq (Seurat, Monocle), Bulk RNA-Seq, Spatial Transcriptomics-Proteomics & Metabolomics: TMT Proteomics, Metabolomic Profiling, Data Integration-Platforms & Tools: Single-Cell Multiplexing, Bioconductor, CellxGene-Computing Environment: R, Perl, Linux/Bash, HPC (High-Performance Computing), GitMachine Learning & Statistical Analysis-Predictive Modeling: Supervised Learning (Random Forest, Logistic Regression), Model Validation-Clustering & Pattern Recognition: Unsupervised Learning (k-means, Hierarchical, Graph-based Clustering)-Dimensionality Reduction: PCA, t-SNE, UMAP-Statistical Testing: Differential Expression (DESeq2, limma), Parametric/Non-parametric Tests, Multiple Testing Correction (FDR/Benjamini-Hochberg)-Systems Biology: Correlation Analysis (Pearson/Spearman), Pathway Enrichment (GSEA), Cell-Cell Communication ModelingDatabases & Infrastructure-Data Engineering: SQL (PostgreSQL, SQLite), Amazon S3 Cloud StorageReproducibility & Pipelines-Standardized Analysis Pipelines, Data Harmonization, Automated ReportingVisualization & Scientific Communication-Interactive Analytics: Dynamic Dashboards (R Shiny), Tableau, Spotfire-Scientific Graphics: ggplot2, Complex Heatmaps, Executive-Ready Insights for stakeholder decision-making

Experience

1. Expert Ii, Data Science - Cardiovascular and Metabolism

   Novartis

   Sep 2025 — Present

   Disease Atlas Engineering: Led construction of a high-resolution cardiac single-cell and single-nuclei atlas to resolve cell-type–specific mechanisms underlying heart failure-Target & MoA Analytics: Directed multi-omics analyses (Transcriptomics, Proteomics, Metabolomics) to validate drug mechanisms, prioritize disease-relevant pathways, and nominate candidate therapeutic targets, generating actionable evidence for stage-gate and go/no-go decisionsInfrastructure Leadership: Established standardized, reproducible analysis pipelines, enhancing data quality, cross-study integration, and enterprise-wide consistencyTechnical Mentorship: Mentored wet-lab scientists in omics analysis and computational best practices, empowering teams to independently explore and interpret datasets

Education

• University of Calicut

  Bachelor of Technology, Biotechnology

  2009 — 2013

• University of Calicut

  Master of Technology, Biotechnology (Industrial)

  2013 — 2015

• Northeastern University

  Masters in Bioinformatics, Data Science

  2018 — 2019

Skills

• Hplc
• Cell Culture
• Biochemistry
• R&D
• Pcr
• Gmp
• Microsoft Word
• Research
• Chemistry
• Windows
• Analytical Chemistry
• Molecular Biology
• Polymerase Chain Reaction (Pcr)
• C
• Microsoft Office
• Microbiology
• Teamwork
• Life Sciences
• Microsoft Excel
• Powerpoint
• Biotechnology
• C++
• Pharmaceutical Industry
• English