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Responsibilities
Determine how both germline variants and somatic mutations in key breast‑cancer genes affect the structure of the encoded proteins. Build a classifier rooted in AI techniques. This is a purely dry‑lab position with no wet‑lab work required.
Requirements
- Master’s degree or equivalent in Computer Science, Bioinformatics, or a related field.
- Strong programming skills in R.
- Background in machine learning and/or protein structure.
- Mobility rule: did not reside or carry out main activity in Spain for more than 12 months in the 3 years immediately before the recruitment date.
- Must be a doctoral candidate; not yet hold a PhD degree at the date of recruitment.
Additional Information
- Teaching experience: supervision of at least one bachelor or master student and co‑supervision of a practical course.
- PhD coursework and training: 100 hours of coursework, participation in HER‑CARE network‑wide training events, and at least two graduate school courses.
- At least two conference presentations (poster or oral) and two or more first‑author publications in peer‑reviewed journals; participation in at least one public outreach activity.
- International mobility: 3 months at the Netherlands Cancer Institute (NKI) in the Genetic Epidemiology of Breast Cancer group, and 3 months at Proteotype Diagnostics Ltd in Cambridge, UK.
- Three‑year full‑time predoctoral contract with remuneration in line with MSCA‑DN funding regulations.
- Proposed start date between September 1, 2026 and January 1, 2027.
How to Apply
Email:
Deadline: 31 July 2026.
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📌 2026-5 CNAG: HER-CARE PhD position (Barcelona)
🏢 EURAXESS Ireland
📍 Barcelona
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