Postdoctoral Bioinformatician Fellow

IRB Barcelona; Barcelona; On-site; EUR 36,000 - 48,000; Full time

Job summary

IRB Barcelona is seeking a Postdoctoral Researcher to join the Biomedical Genomics Lab (BBGLab) led by Dr. Núria López-Bigas.

The role focuses on computational genomics analyses and the development of AI agentic systems to aid answering biological questions at scale. The candidate will participate in a state-of-the-art international project, co-developing an agentic system to enable human-AI scientific collaboration and uncover molecular mechanisms of tumorigenesis.

Qualifications

• PhD in Biomedicine, Biomedical informatics, Bioinformatics, Informatics, Physics, or Mathematics.
• MsC in Bioinformatics, Computational Biology, Biomedicine or similar.
• Hands-on experience in machine learning.
• Proficiency in Python and R for data analysis.
• Ability to design and conduct independent computational analyses.
• Strong communication and collaboration skills.
• Excellent organizational skills and attention to detail.
• Fluent English, written and spoken.
• Motivated, collaborative, and eager to learn.
• Ability to work independently in a demanding research environment.

Responsibilities

• Independently design and test computational genomics analyses, interpret and discuss results.
• Collaborate with a multidisciplinary research team and external collaborators.
• Contribute to a culture of scientific excellence and teamwork.
• Maintain protocols and laboratory resources in the group.
• Critically analyze results and participate in scientific discussions and reports.

Skills

Python

R

Machine learning

Bioinformatics

Education

PhD in Biomedicine/related

MSc in Bioinformatics/Computational Biology

Tools

Jupyter

Git

Job description

IRB Barcelona is seeking a talented and motivated Postdoctoral Researcher to join the Biomedical Genomics Lab (BBGLab) led by Dr. Núria López-Bigas at IRB Barcelona.

We are looking for a postdoctoral bioinformatician with deep experience in handling and analyzing biological data (ideally different types) to derive robust results. We are interested in a person who is excited to explore the development of AI agentic systems to aid answering biological questions at scale. Specifically, as part of a state-of-the-art international project, they will participate in the co-development of an agentic system to facilitate human-AI scientific collaboration aimed at uncovering the molecular mechanisms underlying tumorigenesis across different types of genes and tissues. A plus for the candidate would be to have previous experience in using LLMs programmatically, for example, as part of RAG or agentic systems.

The candidate will participate and perform the activities, tasks, and reports within the framework of the project AURORA.

This position is financed by the project “AI-Driven Systematic Discovery of Tumorigenic Mechanisms of Tumor Promoter Mutations” financed by Cancer Research UK, with file number CGCAI2F-Jul26/100010.

KEY RESPONSIBILITIES

• Independently design and test computational genomics analyses, interpret and discuss their results.
• Collaborate with a multidisciplinary research team, tapping into the expertise of fellow researchers and external collaborators.
• Contribute to a culture of scientific excellence, efficiency, and teamwork.
• Contribute to other lab projects and to the maintenance of protocols and laboratory resources in the group.
• Critically analyze analytical results, participate in scientific discussions and in preparation of diverse forms of scientific communication (seminars and conferences).
• Participate in the project activities: meetings, presentations, visits to other labs, collaboration, exchange of data sets, preparing project reports/deliverables.
• Perform excellent research according to the high standards of the lab and the IRB Barcelona.

YOU HAVE

• PhD in Biomedicine, Biomedical informatics, Bioinformatics, Informatics, Physics, Mathematics
• MsC in Bioinformatics, Computational Biology, Biomedicine or similar.
• Hands-on experience in machine learning
• Deep expertise in widely used data analysis programming languages, such as Python, or R
• Demonstrated ability to design and conduct computational analyses independently.
• Excellent communication skills and the ability to collaborate effectively.
• Strong organizational and multitasking skills.
• Attention to detail and accuracy.
• Proficiency in English (both written and spoken).
• Highly motivated, enthusiastic and collaborative person.
• Willing to keep on learning.
• Ability to work independently in a demanding research environment.

YOU MIGHT ALSO HAVE

• Prior experience in programming on LLMs, including RAGs, agents, etc
• Experience in cancer genomics.
• Experience in development of pipelines and bioinformatics tools
• Experience in international teams.