- Design and support in vivo CRISPR screening experiments, contributing to experimental strategy and downstream analytical planning.
- Collaborate on the design and generation of CRISPR libraries, ensuring high on-target efficiency and minimal off-target effects.
- Apply computational tools, pipelines, and statistical methods to process and interpret large-scale next-generation sequencing data.
- Analyse data from in vivo CRISPR screens to identify candidate gene targets and biologically meaningful signals.
- Validate, interpret, and clearly communicate results to support decision-making.
- Work closely with wet-lab and experimental biology teams to integrate bioinformatics insights into project pipelines.
- Strong background in bioinformatics, computational biology, or a related discipline.
- Demonstrated experience with in vivo CRISPR screening and CRISPR library design.
- Proficiency in analysing high-throughput sequencing data using computational and statistical approaches.
- Experience working with large datasets and developing or using bioinformatics pipelines.
- Ability to collaborate effectively within cross-functional, matrixed research teams.
- Excellent analytical thinking and clear scientific communication skills.
- Experience in pharmaceutical or biotech research environments.
- Familiarity with functional genomics, target discovery, or translational research workflows.
Bioinformatician - Vitoria-Gasteiz - Morson Talent
Descripción
Bioinformatics Scientist – In Vivo CRISPR Screening
Contract: 6 months
Location: Remote.
Must be an EU Citizen with an active Limited company
Role Overview
My client is seeking a highly skilled Bioinformatics Scientist with strong expertise in in vivo CRISPR screening and CRISPR library design to support ongoing discovery and translational research initiatives. This is a 6-month contract role, working remotely within Spain, offering the opportunity to collaborate with multidisciplinary teams at the forefront of biomedical innovation.
Key Responsibilities
Required Skills & Experience
Desirable Experience