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.