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Eugenio Graceffo

Staff Bioinformatics Scientist - Ngs @Universitätsklinikum Heidelberg (UKHD)

Berlin, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2026 — Present

Staff Bioinformatics Scientist - Ngs @Universitätsklinikum Heidelberg (UKHD)

Heidelberg, DE

Neuropathology, NGS diagnostics department

EDUCATION

2019 — 2020

University of Oxford

Master of Science - MSc, Neuroscience

2020 — 2025

Charité - Universitätsmedizin Berlin

Doctor of Philosophy - PhD, Medical Neuroscience

2017 — 2017

UMass Boston

Bachelor of Science - BS, Neurobiology

2010 — 2015

Liceo Scientifico "G.B. Quadri"

High School, High School/Secondary Diplomas and Certificates

2015 — 2018

Università degli Studi di Verona

Bachelor’s Degree, Biotechnology

SKILLS

Time ManagementPublic SpeakingBiotechnologyMicrosoft OfficePolymerase Chain Reaction (Pcr)Management of Bacterial CulturesTeamworkPharmaceuticsMedical ResearchEnglishMicrosoft ExcelProblem SolvingAgarose Gel ElectrophoresisDna ExtractionTeam LeadershipProject ManagementAnimal ElectrophisiologyIdentification and Purification of Bacterial StrainsBacterial Cell CultureNorthern BlottingWestern BlottingDna Purification

ABOUT EUGENIO GRACEFFO

Bioinformatician with over 6 years of hands-on experience in genomics, transcriptomics, and multi-omics data analysis, with a PhD in Medical Neuroscience (bioinformatics). I specialize in bulk and single-cell RNA-seq, multiome (RNA + ATAC), and integrative NGS workflows - from experimental design and sequencing QC to downstream statistical analysis and biological interpretation. I have acted as lead bioinformatician and internal consultant on multiple projects, translating complex datasets into clear, actionable insights for experimental and translational teams. My technical background includes R and Python-based analysis, Unix/Linux environments, reproducible pipeline development (Nextflow, Docker), and established single-cell and NGS tools (Bioconductor, Seurat, Scanpy, DESeq2). I am particularly experienced in differential expression, splicing analysis, data integration, and result visualization for publication-ready outputs.In addition to academic research, I have worked closely with industry and consulting teams, supporting data-driven decision-making across research and development contexts. I value clear communication, reproducibility, and collaborative problem-solving across disciplines. Currently open to bioinformatics, data scientist/analyst, and data-driven roles in biotech and biopharma, particularly in RNA-seq, single-cell, and multi-omics applications.

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