Our startup client is seeking a Senior Bioinformatician to join their team. Their aim is to revolutionize omics-based screening strategies for discovering novel biological targets. As a bioinformatics specialist, you’ll bring extensive knowledge of large-scale omics data, playing a central role in implementing computational tools to analyze high-throughput biological datasets. As a core member of a cross-functional team of biologists and computational scientists, you’ll lead the creation of a functional genomics platform, guiding target discovery and validation to advance the company’s next generation of cell lines. Key Responsibilities: Collaborating closely with the Cell Sciences Team to understand biological objectives and requirements. Designing large-scale experiments within multidisciplinary teams, applying computational biology techniques to develop advanced cell lines. Creating and optimizing scalable computational workflows for various high-throughput NGS data types (e.g., RNA-seq, amplicon sequencing) to address research questions across target identification and cell line development strategies. Enhancing computational pipeline architecture to meet R&D needs while maintaining quality and reproducibility. Documenting results and providing guidance on their interpretation and application. Sharing actionable insights from large-scale analytical projects with cross-functional teams. Partnering with the Bioinformatics and Data Science Team to deliver a cohesive bioinformatics strategy. Staying at the forefront of bioinformatics, genomic research, and industry standards. Essential Skills and Qualifications: Education : Ph.D. or equivalent experience in bioinformatics/computational biology. Experience : Proven expertise in NGS techniques and omics data analysis. Technical Proficiency : Statistical analysis design, execution, and interpretation. Strong command of computational biology tools and methods. Proficient in R or Python for data processing and analysis. Experience working with compute clusters and collaborative tools like Git. Competencies and Personal Attributes: Strong communication skills with the ability to collaborate across disciplines. Skilled at conveying complex statistical concepts to technical and non-technical audiences. Problem-solving mindset with attention to detail. Capable of both independent and collaborative work. Quick learner with a passion for scientific exploration and continuous learning. Effective in dynamic, high-demand environments, taking initiative to turn ideas into reality. Desirable Skills (Nice to Have): Familiarity with bioinformatics workflow management systems (e.g., Nextflow). Hands-on experience with machine learning algorithms applied to biological data. Knowledge of various assay techniques, including NGS, single-cell, cell-based assays, and functional genomics. Experience with CRISPR/Cas9 genome editing. Background in developing stable cell lines for monoclonal antibody production. Understanding of genome-scale modeling to uncover mechanistic insights into biological networks. Exposure to cloud computing environments. Salary: £DOE, Bonus, Excellent Benefits Package, inc. Private Health Insurance and Company Shares, team get togethers, company parties, a well-stocked kitchen and free flowing tea, coffee, soft drinks and snacks.