← Back to list
Middle
Registration: 16.01.2026

Ivan Ezequiel Privitera

Specialization: Bioinformatician
— Bioinformatician with experience in genomic and transcriptomic data analysis, NGS workflows, and reproducible computational pipelines (Python, R, Bash, Git, Nextflow, Snakemake, Docker). — Skilled in data preprocessing, QC, clustering, multivariate analysis, and statistical interpretation for clinical and biological datasets. — Strong collaboration and communication skills developed through interdisciplinary research. — Seeking to contribute to teams working in healthcare data, biomedical research, or biotech software environments. Conference Publications: — Genome-scale Metabolic Model for Microcystis aeruginosa — WCCE11, Buenos Aires (2023). — Plankton Dynamics Modeling in Paso de las Piedras Reservoir — Argentine Congress of Limnology (2022). Achievements: — Awarded a fully funded ITEC Scholarship (Government of India) to attend a Climate Change & Environment Training Program at IISc Bangalore (February 2023). — Developed competencies in climate data interpretation, ecological risk frameworks, and sustainability-focused policy analysis.
SQL Matplotlib Data Modeling Python Git Presentations Seaborn Data Analysis Docker R Jupyter Notebook Bash
— Bioinformatician with experience in genomic and transcriptomic data analysis, NGS workflows, and reproducible computational pipelines (Python, R, Bash, Git, Nextflow, Snakemake, Docker). — Skilled in data preprocessing, QC, clustering, multivariate analysis, and statistical interpretation for clinical and biological datasets. — Strong collaboration and communication skills developed through interdisciplinary research. — Seeking to contribute to teams working in healthcare data, biomedical research, or biotech software environments. Conference Publications: — Genome-scale Metabolic Model for Microcystis aeruginosa — WCCE11, Buenos Aires (2023). — Plankton Dynamics Modeling in Paso de las Piedras Reservoir — Argentine Congress of Limnology (2022). Achievements: — Awarded a fully funded ITEC Scholarship (Government of India) to attend a Climate Change & Environment Training Program at IISc Bangalore (February 2023). — Developed competencies in climate data interpretation, ecological risk frameworks, and sustainability-focused policy analysis.
SQL Matplotlib Data Modeling Python Git Presentations Seaborn Data Analysis Docker R Jupyter Notebook Bash

Skills

NGS
Bioinformatics
RNA-seq (RSEM, DESeq2)
VCF processing
FASTA / FASTQ
QC
Visualization
Systems Biology
Metabolic modeling
COBRApy
Python
R
Bash
SQL
Galaxy
Snakemake
Docker
Git
Data Analysis
Data Modeling
PCA
Clustering
Statistical Modeling

Work experience

Doctoral Researcher / PhD Candidate
since 02.2021 - Till the present day |PLAPIQUI - UNS - CONICET
Python, R, Bash, Git, Nextflow, Snakemake
Bioinformatics Researcher (Data & Pipelines). ● Built and automated data processing workflows using Python, R, Bash, Git. ● Performed RNA-seq and multivariate analyses to extract biological insights. ● Developed reproducible pipelines for omics data interpretation (Nextflow/Snakemake). ● Conducted statistical modeling and clustering for feature pattern detection. ● Produced technical documentation and reports to support research decisions.
Bioinformatician
since 06.2019 - Till the present day |NDA
Bash, Docker, Python, RSEM, DESeq2
Bioinformatics Projects & Training. ● RNA-seq analysis, NGS pipelines, systems biology workflows, and clinical genomics interpretation. ● Participation in international workshops and hackathons (SAB, Universidad de Granada, Mount Sinai Hospital). Projects: Reproducible Pipeline in Nextflow (Bash + Docker). ● Developed modular pipelines with execution profiles for local and Docker environments; applied reproducible workflows for FASTA processing. Metabolic Syndrome Clinical Data Analysis (Python). ● Performed data cleaning, standardization, exploratory statistics, and visualization to identify metabolic risk patterns. Genome-Scale Model of Microcystis aeruginosa. ● Conducted differential expression analysis and multivariate clustering to identify regulatory modules linked to toxin production. RNA-seq Analysis in Cancer (UNLu). ● Processed SRA datasets, performed expression quantification using RSEM, differential expression analysis with DESeq2, and clustering to detect transcriptional patterns.
Research Associate
09.2021 - 12.2025 |Universidade de Pernambuco
Research
● Collaboration on interdisciplinary research involving health, scientific communication, and data analysis.

Educational background

Biological Sciences (Bachelor’s Degree)
Till 2019
Universidad CAECE
Bioinformatics
since 2024 - Till the present day
Universidad Nacional de Luján (UNLu)
PhD in Biological Sciences
since 2020 - Till the present day
Universidad Nacional del Sur (UNS)

Languages

EnglishProficientItalianProficientFrenchProficientPortugueseAdvancedGermanElementarySpanishProficient