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.
