Curriculum Vitae

Alexandra Raimo, BSc MSc

Contact

Vienna, Austria
alexandra.raimo@univie.ac.at
alexandra.raimo@protonmail.com
ORCID
GitHub

Alexandra Raimo portrait

Profile

MSc graduate in Evolutionary Anthropology, currently pursuing master’s degrees in Bioinformatics and Microbiome Science. Specialized in ancient DNA, palaeogenomics, and computational genomics with both extensive wet-lab and bioinformatics experience.

Professional Experience

Core Technician, VDRC (Vienna Biocenter)
Jun–Jul 2025

Lab Technician, Pinhasi aDNA Lab
Oct 2021 – Dec 2023

Completed academic education

Master’s degree in Evolutionary Anthropology, ,University of Vienna.
Successfully completed on 28.02.25.
Overall grade average: 1.75
Nov 2021 – Feb 2025

Erasmus Exchange Semester, Uppsala University in Sweden.

Bachelor’s degree in Biology (Anthropology Module), University of Vienna.
Oct 2015 -Nov 2021

Ongoing academic education

Master’s study in Microbiome Science,University of Vienna.
Oct 2025 - ongoing

Master’s study in Bioinformatics, University of Vienna.
Mar 2025 - ongoing

I am currently enrolled in two master’s programs in Bioinformatics and Microbiome Science, which I chose to further expand my laboratory and computational skillset in preparation for a PhD position.

Ancient DNA and biomolecular wet-lab skills:

aDNA laboratory methods Drilling and grinding of human bones and teeth (Isolation of cochlea), DNA extraction, library prep, indexing PCR, qPCR, Qubit etc.

ZooMS (Zooarchaeology by Mass Spectrometry): Species identification using collagen peptide mass fingerprinting

Computational skills:

Programming & scripting: extensive experience in R, Bash and basic knowledge adapting/modifying scripts in Python.

NGS & aDNA data analysis (extensive experience):Cutadapt, Samtools, BWA, MapDamage, TKGWV2, READ, Calico, AMBER, PLINK

Phylogenetics (working knowledge):MEGA, BEAST2

Statistics, data visualization and multivariate data analysis(extensive experience):SPSS, R, PCA

Genome & metagenome assembly (working knowledge):MEGAHIT, MetaWRAP, Kraken2

Population genetics KING, admixtools, ADMIXTURE, PONG, PCA

HPC environments:Extensive Experience running analyses on Linux clusters (LiSC server, University of Vienna

Modern DNA wet-lab skills:

CRISPR-Cas9 genome editing

Microscopy Light, confocal, and transgenic imaging

Basic microbiology laboratory techniques including media preparation and design, enzyme assays, digital PCR, and flow cytometry (acquired through a practical course organised by DOME).

Sediment nucleic acids extraction and analysis: Assessing polymer C degradation in freshwater sediment from the Vienna Prater, Austria (DOME course).

Further education

SPAAM Introduction to Ancient Microbial Metagenomics Summer school

Languages

German, Italian (native) · English (C1) · Spanish, Mandarin, Swedish (basic)