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Genomics Project Lead – R&D Biotech

Montse Codina Coach

Madrid

Híbrido

EUR 60.000 - 80.000

Jornada completa

Hoy
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Descripción de la vacante

An international agri-food company is seeking a Genomics Project Lead to lead projects in the R&D Biotech team. The role focuses on identifying key genes for innovative horticultural varieties and involves project management, mentor responsibilities, and collaboration with teams. A Ph.D. in a relevant field and expertise in genomics and bioinformatics are essential. The company offers competitive compensation, a hybrid work model, and opportunities for professional development.

Servicios

Competitive compensation package
Flexible working hours
Comprehensive onboarding program
International exposure

Formación

  • Strong background in genomics and quantitative genetics.
  • Solid understanding of bioinformatics tools and experimental design.
  • Fluent in English and Spanish.

Responsabilidades

  • Coordinate and oversee biotech and genomics projects.
  • Design and execute genomics work packages.
  • Train and supervise genomics assistants and technicians.

Conocimientos

Genomics and quantitative genetics
Bioinformatics tools
Project management
Analytical skills
Communication skills

Educación

Ph.D. in Genomics, Plant Biotechnology, or Bioinformatics

Herramientas

NGS
Biostatistics software
Descripción del empleo
Montse Codina Coach

is recruiting on behalf of an international agri-food company, headquartered in the province of Barcelona, for a

Genomics Project Lead

to join its

R&D Biotech team.

Genomics Project Lead – R&D Biotech
About the Role

The Genomics Project Lead will lead genomics-driven projects focused on the identification of key genes and alleles that support the development of innovative horticultural varieties.

This role plays a central part in connecting genomics, bioinformatics, and breeding programs, contributing both strategically and operationally to gene discovery and applied research.

Key Responsibilities
  • Coordinate and oversee biotech and genomics projects, ensuring efficient planning, execution, and delivery of objectives.
  • Design, plan, and execute genomics work packages within transversal R&D projects.
  • Develop, implement, and optimize genomics and bioinformatics pipelines.
  • Support biotech units and breeding teams in the effective use of genomics tools and data.
  • Stay up to date with scientific advances to contribute to short- and long-term genomics strategy within R&D.
  • Train, mentor, and supervise a team of genomics assistants and technicians.
  • Ensure effective communication and collaboration with key internal and external stakeholders.
  • Promote cross-functional and external collaborations to accelerate gene discovery and innovation.
Profile

Ph.D. in Genomics, Plant Biotechnology, Bioinformatics, or a related field.

Strong background in genomics and quantitative genetics.

Solid understanding of bioinformatics tools, biostatistics, and experimental design.

Proven experience in project management and scientific team leadership.

Fluent in English and Spanish.

Strong organizational, analytical, and communication skills.

Results-driven and collaborative mindset, with a focus on process optimization and continuous improvement.

What We Offer

The opportunity to join a

strategic project

within a

leading international agri-food company , with strong investment in research and development.

Being part of a

dynamic, motivated, and innovative team

in biotechnology and plant breeding.

Competitive compensation package , aligned with the candidate’s experience and qualifications.

Flexible working hours

to support work–life balance.

Hybrid working model , with up to

6 remote working days per month .

Location at a

state-of-the-art experimental station , equipped with cutting-edge technology.

Comprehensive

onboarding program

and

tailored professional development plans .

International exposure

and long-term

career growth opportunities .

Key words
Key words : GWAS, QTLmapping, NGS, transcripomics, gene discovery, bioinformatics, biostatistics
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