I’m Salvatore Barbagallo, a bioinformatics and computational genomics professional based in London with 7+ years of experience across clinical genomics and regulated environments. I build reproducible, scalable NGS workflows—especially RNA-seq and variant analysis pipelines—using Python, R, Bash, SQL, and workflow tooling like Nextflow and Docker, with a strong focus on data quality, automation, and reliability. Across my roles, I’ve worked end-to-end from sample- and trial-support operations to production-grade analytics: designing automation tools to reduce reconciliation errors, supporting multiple clinical/ATMP trials, and developing robust pipelines for differential expression and WGS drug-resistance mutation analysis. I enjoy bridging lab realities with computational engineering so analyses are decision-ready, traceable, and built for trustworthy downstream use.

Salvatore Barbagallo

I’m Salvatore Barbagallo, a bioinformatics and computational genomics professional based in London with 7+ years of experience across clinical genomics and regulated environments. I build reproducible, scalable NGS workflows—especially RNA-seq and variant analysis pipelines—using Python, R, Bash, SQL, and workflow tooling like Nextflow and Docker, with a strong focus on data quality, automation, and reliability. Across my roles, I’ve worked end-to-end from sample- and trial-support operations to production-grade analytics: designing automation tools to reduce reconciliation errors, supporting multiple clinical/ATMP trials, and developing robust pipelines for differential expression and WGS drug-resistance mutation analysis. I enjoy bridging lab realities with computational engineering so analyses are decision-ready, traceable, and built for trustworthy downstream use.

Available to hire

I’m Salvatore Barbagallo, a bioinformatics and computational genomics professional based in London with 7+ years of experience across clinical genomics and regulated environments. I build reproducible, scalable NGS workflows—especially RNA-seq and variant analysis pipelines—using Python, R, Bash, SQL, and workflow tooling like Nextflow and Docker, with a strong focus on data quality, automation, and reliability.

Across my roles, I’ve worked end-to-end from sample- and trial-support operations to production-grade analytics: designing automation tools to reduce reconciliation errors, supporting multiple clinical/ATMP trials, and developing robust pipelines for differential expression and WGS drug-resistance mutation analysis. I enjoy bridging lab realities with computational engineering so analyses are decision-ready, traceable, and built for trustworthy downstream use.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

Italian
Fluent
English
Fluent
Portuguese
Fluent
Spanish; Castilian
Advanced

Work Experience

Bioinformatician - Computational STEM Masters at Mercor
January 1, 2026 - July 1, 2026
Authored 10^6 hidden-function tasks accepted into a frontier model’s bioinformatics benchmark. Calibrated task difficulty using measured model-performance curves with ablation ladders and adversarial foils, ensuring textbook solutions remained below 50% while full solutions reached 100%. Achieved ~80% first-pass approval through peer and client review.
AI Training, Data Labelling & Data Annotation at Outlier, Mercor, Micro1, Alignerr
January 1, 2023 - Present
Labelled and structured datasets across biomedical, technical, and general domains. Applied biological and data-science expertise to improve model accuracy. Ensured consistency and compliance across multiple annotation platforms.
Specialist Biomedical Scientist at University College London Hospitals (Stem Cell Laboratory)
September 1, 2021 - December 1, 2025
Designed and implemented automated tracking tools (Python/Excel) to replace manual reconciliation, reducing inventory errors by ~30% and saving ~10 hours per week. Supported clinical and ATMP trials (including CAR-T), ensuring compliance and high-quality data handling for PBSC, bone marrow, DLI, and CD34+ products, with flow cytometry analysis focused on CD3+/CD34+ populations.
Laboratory Scientist at CooperGenomics
September 1, 2021 - October 15, 2025
Processed 500+ NGS samples weekly; automated QC validation. Programmed SPT Labtech robots for scalable library prep. Produced ISO-compliant sequencing reports.
Band 6 Specialist Biomedical Scientist at University College London Hospitals
September 1, 2021 - Present
Automated data tracking with Python/Excel; cut manual work 10 hrs weekly. Processed 200+ samples per week with full GMP traceability. Supported 11 clinical & ATMP trials; digitised SOPs for QA audits.
Laboratory Scientist at CooperGenomics
July 1, 2019 - September 1, 2021
Processed and quality-controlled 500+ NGS samples per week (96–192 samples per run) for PGT-A, PGT-SR, and PGT-M, delivering 500+ validated clinical reports weekly against turnaround targets. Programmed and validated liquid-handling robots (Mosquito HV, Dragonfly), authored ISO-compliant SOPs, and contributed to scalable, reproducible laboratory workflows.
Biomedical Laboratory Assistant – Cytology at Leicester Royal Infirmary
June 1, 2019 - October 15, 2025
Maintained 100% data accuracy in cytology logs. Streamlined stock records to prevent supply delays.

Education

Master of Science at Atlantic Technological University
September 1, 2025 - October 15, 2025
Master of Science at University College London
September 1, 2021 - September 1, 2023
Bachelor of Science at Siciliae Studium Generale - University of Catania
September 1, 2014 - October 1, 2017
MSc Bioinformatics at Atlantic Technological University
September 1, 2025 - September 1, 2026
MSc Cell and Gene Therapy at University College London
September 1, 2021 - September 1, 2023
BSc Biomedical Science at University of Catania
September 1, 2014 - October 1, 2017

Qualifications

Google Data Analytics
January 11, 2030 - October 15, 2025
Advanced Data Analytics
January 11, 2030 - October 15, 2025
IT Automation with Python
January 11, 2030 - October 15, 2025
Project Management
January 11, 2030 - October 15, 2025
Business Intelligence
January 11, 2030 - October 15, 2025
Architecting with Google Kubernetes Engine
January 11, 2030 - October 15, 2025
AWS Cloud Practitioner Essentials
January 11, 2030 - October 15, 2025
Cloud Solutions Architect
January 11, 2030 - October 15, 2025
Genomic Data Science Specialization
January 11, 2030 - October 15, 2025
Data Analysis with Python
January 11, 2030 - October 15, 2025
Relational Databases
January 11, 2030 - October 15, 2025
Scientific Computing with Python
January 11, 2030 - October 15, 2025
Data Visualization with Tableau
January 11, 2030 - October 15, 2025
Coding Skills for Biologists
January 11, 2030 - September 15, 2026
IBM: Machine Learning; AI Engineering; Data Engineering
January 11, 2030 - September 15, 2026
Google: Data Analytics; Advanced Data Analytics; IT Automation with Python; Project Management; Business Intelligence
January 11, 2030 - September 15, 2026
Google Cloud: Architecting with Google Kubernetes Engine
January 11, 2030 - September 15, 2026
Amazon Web Services (AWS): Cloud Practitioner Essentials; Cloud Solutions Architect
January 11, 2030 - September 15, 2026
Johns Hopkins University: Genomic Data Science Specialization
January 11, 2030 - September 15, 2026
SAS: SAS Programming 1: Essentials; SAS Programming 2: Data Manipulation Techniques
January 11, 2030 - September 15, 2026

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services, Education, Computers & Electronics