Descripción de la oferta
Bioinformatics Scientist – In Vivo CRISPR Screening Contract: 6 months Location: Remote. Must be an EU Citizen with an active Limited company Recuerde revisar su CV antes de enviar la solicitud. Además, asegúrese de leer todos los requisitos relacionados con este puesto.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 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. Required Skills & Experience 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. Desirable Experience Experience in pharmaceutical or biotech research environments . xcskxlj Familiarity with functional genomics, target discovery, or translational research workflows.
