Technician for designing algorithms and data structures for pangenome analysis. (Ref. 30267230021)

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH; España; On-site; EUR 30,000 - 37,000; Part time

Job summary

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH in Spain is seeking a researcher to design, implement and accelerate algorithms and data structures for pangenome analysis and variation graphs. The role focuses on high-performance prototypes in C/C++ and Python, and involves collaboration with colleagues and partners in technology transfer projects.

You will work on scalable sequence-graph alignment, indexing and analysis of complex genomic data, with a strong emphasis on performance

Qualifications

• Algorithms and data structures for pangenome analysis.
• Mastery of C/C++ and low-level optimizations.
• Python for prototyping, data analysis and experiment automation.

Responsibilities

• Design new algorithms and data structures for the analysis of pangenomes and variation graphs.
• Develop scalable methods for sequence-graph alignment, approximate search, indexing and analysis of complex genomic data.
• Design and implement high-performance prototypes in C/C++, Python and parallel environments.
• Collaborate with other team members and with academic or industrial partners in technology transfer projects.

Skills

Algorithms and data structures

C/C++

Python

Education

Bachelor Degree or equivalent

Job description

Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Computer science » Computer architecture Mathematics Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Application Deadline 16 Nov 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 31 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 30267230021 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Mission:

Design, implement and accelerate algorithms and data structures for the analysis of pangenomes and variation graphs.

Functions to be developed:

• Design new algorithms and data structures for the efficient analysis of pangenomes and variation graphs.
• Develop scalable methods for sequence-graph alignment, approximate search, indexing and analysis of complex genomic data.
• Design and implement high-performance prototypes in C/C++, Python and parallel environments.
• Collaborate with other team members and with academic or industrial partners in technology transfer projects.

Research Field Computer science » Computer architecture Education Level Bachelor Degree or equivalent

Research Field Mathematics Education Level Bachelor Degree or equivalent

Skills/Qualifications

Technical Skills:

• Algorithms and data structures for pangenome analysis.
• Mastery of C/C++ and low-level optimizations.
• Python for prototyping, data analysis and experiment automation.

Specific Requirements

Knowledge:

• Performance engineering and code optimization.
• Advanced algorithms and data structures.
• Computational bioinformatics.
• Genomic sequence analysis (Basic level).

Professional Experience:

• Have worked with pangenomes, variation graphs, genomic formats and bioinformatics tools.
• In the development of scientific software libraries or tools.
• In research environments, scientific software development, computational bioinformatics, high-performance computing or computer architecture.
• Have published scientific publications in bioinformatics, algorithms, data structures or high-performance computing.
• Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and industrial environment.

Languages CATALAN Level Basic

Languages ENGLISH Level Good

Languages SPANISH Level Good

Research Field Engineering » Computer engineeringComputer science » Computer architectureMathematics Years of Research Experience 1 - 4

Additional Information

€33,876.08 gross per year (for a full-time position)

Eligibility criteria

All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.

The CVs will be assessed according the following general criteria:

• The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
• Threshold: 5 points.
• The maximum score (10 points) will be distributed as follows:
• 1 point for required speciality.
• 2 points for required academic training.
• 2 points for technic competences.
• 1 point for organisational competences.
• 3 points for professional experience.
• 1 point for any aspect of the candidate’s professional profile to be determined as specially relevant by the Selection committee.

If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.

The interview will be assessed according the following criteria:

• Threshold: 3 points.
• The maximum score will be distributed according the following criteria:
• 2 points for adequacy to functional competences of the job.
• 2 points for adequacy of professional experience.
• 1 point for any aspect of the candidate’s professional profile to be determined as especially relevant by the Selection committee.

The eligible candidates will be ranked from highest to lowest score, being this the selection criteria.

Selection process

The planned selection process is as follows:

• The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
• Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
• Finally, the name of the person selected will be published on the same website where the offer is published.

Additional comments

Remember that the resume should not include any personal data or photographs.