Junior Researcher: Environmental Microbiology & Data

Catalan Institute for Water Research (ICRA); España; Presencial; EUR 25.000 - 29.000; Jornada completa

Descripción de la vacante

Catalan Institute for Water Research (ICRA) is seeking a Junior Researcher in Environmental Microbiology, Molecular Biology and Integrated Data Analysis to support research and knowledge-transfer projects related to water quality and sanitation systems.

The role focuses on bridging research methods to practical applications, developing robust procedures, and contributing to reproducible data-analysis workflows within multidisciplinary teams.

Formación

• PhD or equivalent in Environmental sciences, microbiology or related field.
• Experience with environmental microbiology and molecular methods is required.
• Ability to design sampling strategies and coordinate field campaigns.

Responsabilidades

• Participate in projects involving environmental microbiology, molecular biology, bioinformatics and data analysis.
• Develop and validate microbiological and molecular methods for environmental samples.
• Design sampling strategies and coordinate environmental campaigns and pilot studies.
• Analyze data and integrate with environmental and operational information.
• Document protocols and reuse workflows for reproducible research.
• Provide training and methodological support to junior researchers.

Conocimientos

Environmental microbiology

Molecular biology

Bioinformatics

Data analysis

Experiment design

Communication

Team collaboration

Technical writing

Educación

PhD in Environmental Sciences or Microbiology or Environmental Engineering

Herramientas

PCR

RT-qPCR

ddPCR

Sequencing

Descripción del empleo

Catalan Institute for Water Research (ICRA) is seeking a Junior Researcher in Environmental Microbiology, Molecular Biology and Integrated Data Analysis to support research and knowledge-transfer projects related to water quality and sanitation systems.

The role focuses on bridging research methods to practical applications, developing robust procedures, and contributing to reproducible data-analysis workflows within multidisciplinary teams.