Joana (C.) Moreira De Mello-Collaborator | Bioinformatics
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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.
Industry experience
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Experienced in Education, Biotechnology, and Healthcare.
Business area experience
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Experienced in Research and Development and Business Intelligence.
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
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Joana is based in Schiedam, Netherlands.
Joana speaks the following languages: Portuguese (Native), English (Advanced), Dutch (Elementary).
Joana has at least 12 years of experience. During this time, Joana has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 3 years and 11 months. Note that Joana may not have shared all experience and actually has more experience.
Based on recent experience, Joana would be well-suited for roles such as: Collaborator | Bioinformatics, Data Scientist | Bioinformatics, Postdoctoral researcher | Bioinformatics.
Joana's most recent position is Collaborator | Bioinformatics at Project: DNA do Brasil.
In recent years, Joana has worked for Project: DNA do Brasil, Leyden Labs, and Erasmus MC.
Joana is most experienced in industries like Education, Biotechnology, and Healthcare.
Joana is most experienced in business areas like Research and Development and Business Intelligence.
Joana has recently worked in industries like Biotechnology, Education, and Healthcare.
Joana has recently worked in business areas like Research and Development and Business Intelligence.
Joana holds a Doctorate in Biological Sciences (Genetics) from University of São Paulo, a Master in Biological Sciences (Genetics) from University of São Paulo and a Bachelor in Biological Sciences from University of São Paulo.
The availability of Joana needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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