We are seeking a Researcher in multi-omics data integration, machine learning and systems biology applied to complex traits in livestock production to join the Animal Breeding and Genetics team at Torre Marimon (Caldes de Montbui, Barcelona, Spain). This position offers an exciting opportunity to be part of an organization with a dynamic, collaborative work environment focused on professional development.

We welcome applications from candidates with a strong research track record and a keen interest in genomics, transcriptomics, epigenomics, microbiome and livestock breeding. The successful candidate will contribute to cutting-edge research and innovation by developing data pipelines, predictive models, and advanced analytical methods to integrate and interpret multi-omics data. The goal is to improve the understanding and prediction of complex traits relevant to livestock production and breeding programs, ultimately supporting the development of more efficient, resilient, and sustainable animal production systems.

Head of Program: Dr. Llibertat Tusell.

Tasks and Responsibilities:

- Contribute to the research and innovation activities of the Animal Breeding and Genetics Program by developing AI- and data science-based models and algorithms to integrate multi-omics data and improve the understanding and prediction of complex traits in livestock.
- Contribution to the activities of the research Program, performing scientific and technical tasks, taking part in the planning and execution of the experiments to ensure the achievement of milestones of research projects and mentoring of PhD candidates and students.
- Lead and support the acquisition of research funding through the development of proposals for competitive national, European, and international funding calls, as well as industry-funded projects, and contribute to project reporting and the dissemination of research outcomes.
- Contribute to strengthening established collaborations with research institutions and industry partners, while fostering new strategic partnerships.
- Identify opportunities for innovative research in multi-omics integration, machine learning,



and systems biology to address key challenges in livestock production and breeding.

Required qualifications and experience

- Ph.D. in Animal Breeding, Animal Production, Statistics, Mathematics, Engineering, Computer Science, or related fields.
- Strong expertise in data science, machine learning, and artificial intelligence, with experience in developing predictive models and analytical algorithms.
- Proven experience in multi-omics data integration, including genomics, transcriptomics, epigenomics, and other high-throughput biological data.
- Strong programming and computational skills (e.g., Python, R, SQL, Linux/HPC environments), including the development of reproducible data analysis pipelines.
- Knowledge of statistical genetics, quantitative genetics, and livestock breeding, particularly in the analysis of complex traits.
- Experience with systems biology approaches and the interpretation of large-scale biological datasets.
- Excellent scientific writing and communication skills, including the preparation of technical reports, project deliverables, and research publications.
- Ability to identify emerging research opportunities and translate them into innovative research and funding initiatives.
- Fluent written and spoken English.
- Availability for national and international travel as required by research and project activities.
- Strong teamwork skills, ability to adapt to multidisciplinary environments and a focus on professional growth and development.

Desirable requirements

- Experience in preparing and securing competitive research funding, including national, European, and international grant proposals.
- Demonstrated ability to design, plan, and execute research projects, ensuring timely delivery of project milestones and objectives.
- Knowledge of livestock production systems, animal breeding,



and the key challenges facing the livestock sector.
- Languages (Catalan and Spanish)

Advantages of joining our team:

- Contract: permanent full-time position or IRTA Consolida (tenure track) position subject to the qualifications and experience of the selected candidate
- Salary: to be resolved according to the qualifications and experience of the selected candidate
- 37.5 hour workweek, with Friday afternoons off
- Intensive work schedule from 15/06 to 15/09
- 23 vacation days
- 3 days of family & work conciliation
- 45 hours of personal days
- Remote work 6 workdays per month
- Versátil Schedule for a good work-life balance.
- Continuous training and professional growth opportunities.

Please know that if you are the chosen candidate and you are from a country which does not belong to the UE, IRTA’s People Department will support you to get the residence and working permits.

Instructions to Apply

If you wish to be considered for this position and believe you meet the requirements, please submit your application through the form available at the bottom of this page.

Equal treatment and equal opportunities are guaranteed for all candidates in the selection process, avoiding stereotypes, bias or barriers linked to gender, sexual orientation, origin, age, ideology, or any other potentially discriminatory condition. The organization also ensures inclusion commitment toward vulnerable groups, and the first round of the selection process is reserved for candidates with functional diversity.

Selection Process:

Curricular assessment: The candidate’s qualifications and merits will be evaluated according to the criteria established in the job offer.

Interview(s): These will be conducted by a Selection Committee to assess the candidate’s suitability in terms of professional experience and competencies.

Additional tests (if applicable): Depending on the position profile and the needs of the process, specific competency-based tests and/or a psychometric test may be included in order to more accurately assess the suitability of the candidates.

Start of contract: December 2026 (approximately)

📌 Researcher in multi-omics data integration, machine learning and systems biology applied to complex traits in livestock production (Caldes de Montbui)
🏢 IRTA
📍 Caldes de Montbui