Joana (C.) Moreira de mello
Collaborator | Bioinformatics
Experience
Collaborator | Bioinformatics
Project: DNA do Brasil
- Perform large-scale genomics data processing to build a Brazilian population-specific reference genome.
- Identify and annotate underrepresented variants and putative loss-of-function variants.
- Collaborate with cross-functional teams of geneticists and computational biologists.
Data Scientist | Bioinformatics
Leyden Labs
- Designed and maintained reproducible workflows for single-cell transcriptomics, viral genome analysis.
- Built and optimized pipelines for viral genome analysis (alignment, variant calling, strain ID).
- Integrated large public datasets into an atlas for target discovery, generating actionable visual insights for R&D leadership.
- Delivered technical documentation, study reports, and visualizations for cross-functional teams.
Postdoctoral researcher | Bioinformatics
Erasmus MC
- Developed and shared reproducible R Markdown workflows for karyotyping, allele-specific expression, and transcriptomics.
- Processed and analyzed large-scale genomics and single-cell RNA-seq datasets for collaborative research projects.
- Provided technical support on bioinformatics software, tools, and Next-Generation Sequencing (NGS) analysis.
- Produced clear data visualizations and documentation to facilitate interdisciplinary communication.
Postdoctoral researcher | Genomics & Epigenomics
University of São Paulo
- Investigated the epigenetic state of the X chromosome in pre-implantation embryos of humans and non-human primates using single-cell RNA-seq.
- Improved pipelines for scRNA-seq QC, mapping, variant calling, and allele-specific gene expression analysis.
- Troubleshot bioinformatics pipelines and optimized workflows.
- Mentored graduate students in bioinformatics methods and experimental design.
- Published key findings on X-chromosome inactivation and dosage compensation in top-tier journals.
Summary
Computational biologist with extensive experience in NGS data analysis, single-cell and bulk transcriptomics, and bioinformatics workflow development. Experienced in designing scalable and reproducible pipelines, integrating large-scale multi-omics datasets, and delivering clear visualizations for diverse research teams. Experienced in close collaboration with wet-lab scientists, bridging biology and computation, including data integration and visualization approaches. I enjoy multidisciplinary environments, the technical aspects of workflow development and data analysis, and am committed to teamwork, continuous learning, and applying my skills to advance science and improve human health.
Skills
Workflow Development & Reproducibility: Nextflow, Docker, Conda, Linux Hpc, Google Cloud.
Programming & Analysis: R (Tidyverse, Shiny, Rmarkdown), Python (Pandas, Matplotlib, Seaborn), Bash.
Ngs & Omics Data Analysis: Single-cell And Bulk Rna-seq, Wgs, Epigenomics, And Array Data.
Data Integration & Visualization: Multi-omics Harmonization, Biomarker Discovery, Interactive Visualizations, And Custom Reporting.
Data Integration & Biomarker Discovery: Public Dataset Curation, Harmonization, And Exploratory Analysis.
Collaboration & Reporting: Interactive Visualizations, Study Reports, And Cross-functional Teamwork.
Programming & Scripting: R, Bash, Shell, Python.
Ngs & Variant Analysis: Gatk, Bcftools, Vcftools, Vep, Loftee, Shapeit, Star, Bowtie2, Bwa, Varscan.
Transcriptomics & Single-cell: Seurat, Scanpy, Deseq2, Edger.
Workflow Development: Nextflow, Hpc, Google Cloud.
Containerization & Environments: Docker, Anaconda.
Data Visualization: Ggplot2, Plotly, Shiny, Matplotlib, Seaborn.
Continuous Learning: Always Learning New Tools To Expand My Capabilities.
Languages
Education
University of São Paulo
Master’s in Biological Sciences (Genetics) · Biological Sciences (Genetics) · São Paulo, Brazil
University of São Paulo
PhD in Biological Sciences (Genetics) · Biological Sciences (Genetics) · São Paulo, Brazil
University of São Paulo
Bachelor’s in Biological Sciences · Biological Sciences · São Paulo, Brazil
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