Postdoctoral Fellow in Computational Systems Biology

Euraxess; España; On-site; PHP 2,108,222 - 3,513,703; Full time

Benefits offered by this job

Opportunity for interdisciplinary research

Dynamic international environment

Job summary

Euraxess is seeking highly skilled postdoctoral researchers to join their Computational Biology Group at CIC bioGUNE in Bizkaia, Spain. Candidates will focus on developing computational approaches for neuronal cell conversion, addressing complex biomedical challenges.

The role requires a Ph.D. in relevant fields, strong programming skills, and a solid publication record. The successful candidate will work in an international context with leading experimental labs in stem cell research and regenerative medicine.

Qualifications

• Ph.D. degree in computational biology, bioinformatics, biology, computer science, physics or related disciplines.
• Strong computational skills in at least one programming language (e.g., R or Python).
• A strong publication record in related fields.
• Excellent communication and working knowledge in English.

Responsibilities

• Develop a computational platform for identifying hierarchical combinations of cell fate conversion factors.
• Engage in interdisciplinary research in collaboration with international partners.
• Work on protocols for the sequential induction of transcription factors.

Skills

Computational biology

Bioinformatics

Programming (R, Python)

Strong publication record

Excellent communication in English

Education

Ph.D. in related disciplines

Job description

Offer Description

The Computational Biology Group at CIC bioGUNE seeks highly skilled and motivated postdoctoral researchers to work on an exciting project that aims at the development of computational approaches for designing neuronal cell conversion protocols.

The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors, which will in turn be used to engineer highly specialized neuronal subtypes for cell transplantation therapies in animal models of Alzheimer’s disease, stroke, and epilepsy.

To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model (foundational model) to propose protocols for the sequential induction of transcription factors to generate desired cell subtypes. The selected candidate will be part of a Canadian federal grant project (NFRF) with international collaborators who will conduct experimental validation of the computational predictions to translate neuronal reprogramming into clinical practice.

The Computational Biology Group aims at establishing a solid infrastructure to develop theoretical frameworks for computational modeling of biomedical problems, especially in the areas of stem cell research, aging and disease modeling. The group closely collaborates with leading national and international experimental labs with a particular interest in stem cell research and regenerative medicine.

Essential skills and qualities

• Ph.D. degree in computational biology, bioinformatics, biology, computer science, physics or related disciplines
• Strong computational skills in at least one programming language (e.g. R or Python)
• A strong publication record in related fields
• Excellent communication and working knowledge in English

Ideal skills

• Prior experience in computational systems biology
• Prior knowledge about transcriptional regulation and the prediction of cellular conversion factors
• Experience working in a multi-disciplinary research environment

We offer

• Opportunity to do highly interdisciplinary research to solve complex biomedical problems within a dynamic research institution (CIC bioGUNE) and in collaboration with internationally recognized partners
• An exciting international environment

Application deadline

The deadline for submission of applications is August 15th, 2026.

Location

Bizkaia, Spain; Address: Parque Científico Tecnológico de Bizkaia, Edificio 801A, Derio, 48160.