Senior Bioinformatics Scientist

2 weeks ago

Oxford, United Kingdom Cranleigh STEM, Sustainability & SHEQ Recruitment Full time

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.

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