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Pooja Pathur Srinivasa

@poojapathursrinivasa

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Computational Analyst with expertise in multi-omic data analysis.

United States

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What I'm looking for

I am looking for opportunities that foster collaboration, innovation, and growth in bioinformatics.

I am a Computational Analyst with over 4 years of experience in both academic and industry settings, specializing in multi-omic data analysis, including bulk and single-cell RNA-seq and proteomics. My journey has been marked by a proven track record of designing and executing analysis pipelines that drive biological insights and enable therapeutic discovery. I thrive in collaborative environments, adeptly translating complex data into actionable insights while supporting regulatory documentation.

Currently, I serve as a Scientist I at AbbVie, where I lead multi-omic data analysis to characterize exploratory targets in neurodegenerative diseases. My role involves designing differential expression and pathway enrichment analyses, developing R Shiny dashboards for biomarker visualization, and collaborating with cross-functional teams to translate computational findings into therapeutic strategies. Previously, I worked at Brigham and Women’s Hospital, where I led the development of reproducible workflows for RNA-seq and single-cell analysis, significantly improving data exploration and reuse across the team.

Experience

Work history, roles, and key accomplishments

Current

Scientist I – Bioinformatics

Current

AbbVie

Jun 2022 - Present (3 years)

Led multi-omic data analysis, including bulk RNA-seq and proteomics, to characterize exploratory targets and model systems in neurodegenerative diseases. Designed and executed differential expression and pathway enrichment analyses using QIAGEN IPA, contributing to therapeutic hypothesis generation.

QIAGEN IPA R Shiny Data Visualization

Bioinformatician

Brigham and Women's Hospital

Jun 2020 - May 2022 (1 year 11 months)

Led development of reproducible workflows for RNA-seq and single-cell analysis to support pulmonary disease research. Conducted integrative analyses using GWAS, eQTL, and methylation data to evaluate genetic associations and therapeutic targets.

EQTL R Shiny

Bioinformatician Co-op

Brigham and Women's Hospital

Jun 2019 - Dec 2019 (6 months)

Developed methylation data QC pipelines using Python and R; supported DNA methylation analysis across multiple platforms. Conducted clustering and regression modeling of epigenetic datasets, generating weekly performance reports and presentations.

Methylation Data QC Python R Clustering Regression Modeling

Software Engineer

Accenture

Jun 2016 - Aug 2017 (1 year 2 months)

Designed and tested user-load scenarios for a large-scale healthcare benefits application. Awarded Best Software Product recognition by Accenture Products and Platforms.