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I am a Data Scientist and Bioinformatician (PhD level) with over 4 years of experience analyzing large-scale human genomics, transcriptomics and epigenomics data in clinical and translational research. I combine applied statistics, machine learning, and robust data pipelines to extract actionable insights from complex biological data. My work spans NGS data quality control, cross-sectional analyses, and multi-omics integration to support disease risk stratification and health-related outcomes predictions. I enjoy collaborating with clinicians and researchers to translate omics signals into mechanistic hypotheses and practical applications for patient care.…I am a Data Scientist and Bioinformatician (PhD level) with over 4 years of experience analyzing large-scale human genomics, transcriptomics and epigenomics data in clinical and translational research. I combine applied statistics, machine learning, and robust data pipelines to extract actionable insights from complex biological data. My work spans NGS data quality control, cross-sectional analyses, and multi-omics integration to support disease risk stratification and health-related outcomes predictions. I enjoy collaborating with clinicians and researchers to translate omics signals into mechanistic hypotheses and practical applications for patient care.

Catarina dos Santos Gomes

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I am a Data Scientist and Bioinformatician (PhD level) with over 4 years of experience analyzing large-scale human genomics, transcriptomics and epigenomics data in clinical and translational research. I combine applied statistics, machine learning, and robust data pipelines to extract actionable insights from complex biological data. My work spans NGS data quality control, cross-sectional analyses, and multi-omics integration to support disease risk stratification and health-related outcomes predictions. I enjoy collaborating with clinicians and researchers to translate omics signals into mechanistic hypotheses and practical applications for patient care.…I am a Data Scientist and Bioinformatician (PhD level) with over 4 years of experience analyzing large-scale human genomics, transcriptomics and epigenomics data in clinical and translational research. I combine applied statistics, machine learning, and robust data pipelines to extract actionable insights from complex biological data. My work spans NGS data quality control, cross-sectional analyses, and multi-omics integration to support disease risk stratification and health-related outcomes predictions. I enjoy collaborating with clinicians and researchers to translate omics signals into mechanistic hypotheses and practical applications for patient care.

Available to hire

I am a Data Scientist and Bioinformatician (PhD level) with over 4 years of experience analyzing large-scale human genomics, transcriptomics and epigenomics data in clinical and translational research. I combine applied statistics, machine learning, and robust data pipelines to extract actionable insights from complex biological data.

My work spans NGS data quality control, cross-sectional analyses, and multi-omics integration to support disease risk stratification and health-related outcomes predictions. I enjoy collaborating with clinicians and researchers to translate omics signals into mechanistic hypotheses and practical applications for patient care.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Language

Portuguese

Fluent

English

Fluent

Spanish; Castilian

Intermediate

French

Beginner

Work Experience

Bioinformatician – Advanced Analytics & Multi-Omics at Albert Einstein Israelite Hospital

January 1, 2022 - Present

Designed, maintained, and optimized scalable data science pipelines for biobank-scale human genomics and multi-omics datasets. Developed and validated polygenic risk scores for common diseases in diverse populations using genomic and EHR-linked data. Led data quality control and statistical validation to ensure robustness and reproducibility of analytical results. Integrated WGS, RNA-seq, and clinical data to identify candidate molecular mechanisms in unresolved rare disease cases. Applied machine learning approaches to multi-omics integration and phenotype derivation.

PhD Researcher – Bioinformatics & Statistical Genetics at University of São Paulo

January 1, 2021 - December 31, 2025

Conducted large-scale statistical analyses of genotype array data from longitudinal birth cohorts. Built reproducible analytical pipelines to model associations between polygenic risk and neurodevelopmental outcomes. Performed gene–environment interaction analyses integrating genetic, environmental, and clinical variables.

Research Assistant – Bioinformatics at University of São Paulo

January 1, 2019 - December 31, 2020

Processed and analyzed whole-exome sequencing data from autism spectrum disorder cohorts. Applied unsupervised machine learning techniques to characterize phenotypic heterogeneity in large consortium datasets.