Eduardo Esteves

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With a PhD in Biomedicine and experience spanning academic research, industry, and European research infrastructures, I bring a dual focus on programme management and bioinformatics. I have coordinated multi-partner projects, delivered reporting and governance frameworks, and built reproducible data analysis in health science. My work bridges policy and practice, turning complex life-science data into clear, actionable outcomes for research institutes and companies alike.

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🚀 Research Programme & Bioinformatics specialist

Coordinate complex research programmes, and apply bioinformatics expertise to projects—bridging management and science.

📍 UK/EU – open to remote

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EXPERIENCE

Senior Science Officer - ELIXIR Europe
January 2025 - Present

Bioinformatician / Data Scientist - Prana-Tech, Ltd
September 2023 - December 2024

Project Manager / Junior Software Developer - PromptEquation, Lda
September 2021 - December 2024

Research Associate - Catholic University of Portugal
September 2015 - August 2021

Assistant Lecturer - Catholic University of Portugal
September 2020 - August 2021

Course Role Institution Start End
Biomolecular Laboratories II Assistant Lecturer Catholic University of Portugal Sep 2020 Aug 2021
Molecular Biology Assistant Lecturer Catholic University of Portugal Sep 2020 Aug 2021
Seminars Projects Assistant Lecturer Catholic University of Portugal Sep 2020 Aug 2021

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Skills

Area Skills & Tools
Programme & Project Management Multi-partner project coordination, deliverables/reporting, grant reporting, stakeholder alignment, Open Science/FAIR/TRE
Bioinformatics & Life Sciences Proteomics (MS), NGS data integration, multi-omics pipelines, biomarker discovery, reproducibility (Snakemake, Nextflow basics), PRIDE/ProteomeXchange
Data Science & Analytics Python (pandas, matplotlib, scikit-learn), R (tidyverse, ggplot2), SQL (PostgreSQL), Julia (introductory), statistics & QC, dashboards (Superset)
Software & Infrastructure Odoo (Python), Docker, Git/GitHub, GCP basics, workflow automation, data validation scripts, metadata schemas
Teaching & Communication University lecturing (lab & theory), mentoring BSc/MSc students, outreach & community building, cross-sector collaboration
Languages Portuguese (native), English (IELTS B2+)

🔬 Research Projects

🧬 COVID-19 Salivary Protein Profile

Problem. Characterise host response and identify dysregulated processes in COVID-19 using saliva proteomics.
Approach. MS proteomics + PLS-DA, enrichment (FunRich), interactomics (OralInt).
Outcome. Highlighted 5 dysregulated processes; uncovered 10 proteins not previously associated with SARS-CoV-2.
Link. DOI: 10.3390/jcm11195571

Institution Project page

How Odoo helped creating a saliva tests platform in record time


🧬 CoVTec in Saliva (Pooling Strategy)

Problem. Scale saliva testing efficiently in a regional network.
Approach. Protocol development + platform for real-time data capture and role-based access; analytics in Python.
Outcome. Validated pooling strategy and streamlined operations.
Link. DOI: 10.1371/journal.pone.0263033


⚙️ SalivaPRINT Toolkit

Problem. Need for a standardised resource to profile salivary proteomes across conditions.
Approach. Built a reference dataset (PRIDE submissions) + software toolkit for feature extraction and biomarker discovery.
Outcome. Provided reusable resource; enabled comparative salivary proteomics studies.
Link. DOI: doi:10.3390/jcm11195571

GitHub Repository

Graphical representation of the molecular weight classification of individuals


🦷 Oral e-Health Monitoring Platform — Co-Founder

Problem. Lack of integrated tools for monitoring oral health data longitudinally, combining patient records, omics, and clinical observations.
Approach. Co-founded the development of a platform to capture, store, and visualise oral health data in a reproducible and accessible way, aligning with FAIR principles.
Outcome. Provided a foundation for digital oral health monitoring; contributed to ongoing research in oral disease progression and prevention.

Home page


🧬🦷 Oral Microbiome Profile in Clear Aligner Patients During Treatment

Problem. Limited knowledge of how orthodontic clear aligner therapy influences the oral microbiome composition.
Approach. Collected saliva samples from patients undergoing aligner treatment; performed shotgun proteomics and 16S rRNA profiling with clinical metadata integration.
Outcome. Identified temporal shifts in microbial communities and host–microbiome interactions during treatment, informing oral health monitoring and aligner therapy protocols.
Link. DOI: Oral Microbiota in Caries Prevention, Diagnosis and Management - Challenges and Opportunities


🏭 Industry Projects

📊 Prana-Tech (Health Data Modelling & Dashboards)

Problem. Clinicians lacked tools to evaluate patient data quality and compliance in real time.
Approach. Designed dashboards (Superset/Metabase), integrated modelling feasibility studies on health questionnaires and blood data.
Outcome. Shortened data-to-insight cycle; improved compliance monitoring and governance traceability.


⚙️ PromptEquation (ERP & Data Engineering)

Problem. SMEs needed custom ERP workflows and advanced reporting for operations.
Approach. Python/Odoo development, PostgreSQL analytics, project management (requirements + budgets).
Outcome. Delivered ERP modules and reproducible dashboards; reduced scope creep and improved reporting reliability.


đź’ˇ Hackathon & Innovation

💡 Aveiro Tech City Hackathon 2024 — Challenge 2 (Bosch Portugal)

Problem. Industrial process confirmation in assembly lines and workstations is often unreliable in environments with poor internet connectivity. Bosch Portugal set the challenge of creating an autonomous and automatic system that could overcome these constraints.
Approach. Designed and prototyped a solution using Arduino Nano 33 BLE Sense sensors for proximity and condition monitoring, paired with an ESP32 watch for communication and user interaction. Two deployment modes were created:

  1. Standalone mode with only Arduino Nano 33 BLE Sense for lightweight confirmation.
  2. Hybrid mode combining Arduino + ESP32 for broader connectivity and user feedback.
    Outcome. Delivered a functional prototype during the Hackathon that demonstrated low-cost IoT feasibility for industrial process validation. The design was applicable across gravity-based assembly lines, manual progression lines, and fixed workstations.
    Event. Aveiro Tech City Hackathon 2024 · Bosch Portugal Challenge

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Education

Degree Institution Dates
PhD, Biomedicine Universidade da Beira Interior 2018 – 2023
MSc, Cell & Molecular Biology Universidade de Aveiro 2012 – 2014
BSc, Biomedical Sciences Universidade Católica Portuguesa 2009 – 2012

Advanced Courses

2024 - Bioinformatics for P2x Single-cell Genomics
2024 - Statistical Learning with Python
2022 - Data Science
2019 - Data Analysis Using R
2019 - Experimental Design and Analysis of Multivariate Data
2018 - Computational Biology
2015 - Clinical Investigator Certification

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Publications

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Leadership & Community Engagement

Board Member (Direction) — 🏸 Beira-Mar Squash Club
2022 – Present