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Tagomics

Senior Bioinformatician – Computational Biologist, Drug Safety

Tagomics

. Build, apply and evaluate computational methods for epigenetic markers from cell-free DNA .

Posted 11/4/2026full-timeCambridge • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in bioinformatics and computational biology, with strong coding skills in Python and R, and the ability to analyze complex biological datasets. Proficient in translating study objectives into actionable analysis plans while effectively communicating results to diverse audiences.

Highest-signal resume keywords
PhD In BioinformaticsHands-On Coding In PythonStatistical Modelling ExperienceExperience Analyzing Epigenetic DatasetsKnowledge Of Liquid Biopsy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Computational Methods DevelopmentStatistical AnalysisMachine Learning MethodsVersion-Controlled Code WritingData InterpretationExperimental DesignBioinformatics Software AdaptationData Quality ControlReproducible ResearchToxicity Biomarker Discovery
Soft Skills
Clear CommunicationTeam CollaborationMentoringIndependent Work ManagementTechnical Presentation
Tools & Technologies
PythonRMeDIP-seqATAC-seqChIP-seqWGBSRNA-seqSoftware Engineering Best PracticesStatistical SoftwareVersion Control Systems
Industry Keywords
BioinformaticsComputational BiologyCell-Free DNALiquid BiopsyDrug Development Life CycleBiotechPharmaceuticalClinical StudiesToxicologyOmics Technology

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Build, apply and evaluate computational methods for epigenetic markers from cell-free DNA
  • Own analyses end to end for defined studies, from QC and processing through statistical analysis to interpretation
  • Contribute to toxicity biomarker discovery and refinement
  • Adapt or write bioinformatics software alongside the software engineering team
  • Turn results into clear, well-documented outputs for internal and partner audiences
  • Contribute to experimental design, including power and sample size, batch effects and appropriate controls
  • Translate study objectives into concrete analysis plans and identify when data cannot answer the question
  • Work with laboratory colleagues to understand and improve assay performance
  • Join technical discussions with pharmaceutical and biotech partners
  • Prepare and present analyses to partner scientists
  • Explain clearly what the data can and cannot tell partners
  • Write tested, reproducible, version-controlled code and contribute to team standards
  • Review colleagues' code and analyses and support less experienced team members
  • Contribute to publications, intellectual property and conference presentations
  • Report to the Principal Bioinformatician

Requirements

What you’ll need
  • PhD in bioinformatics, computational biology or a related field, followed by at least 3 years' experience in industry or academia
  • Strong, current, hands-on coding in Python and/or R
  • In-depth knowledge of at least one sequencing-based omics technology
  • Experience applying statistical modelling or machine-learning methods to complex biological datasets
  • Experience developing, adapting or substantially extending computational methods or tools
  • Ability to run analyses independently and manage your own work across concurrent projects
  • Ability to communicate complex results clearly to both specialist and non-specialist audiences
  • Python as your main language
  • Experience analysing epigenetic and/or transcriptomic datasets, such as MeDIP-seq, ATAC-seq, ChIP-seq, WGBS or RNA-seq
  • Knowledge of liquid biopsy, cell-free DNA, toxicology, clinical studies or the drug development life cycle
  • Knowledge of software engineering best practices: testing, code review and version control
  • Experience working with external partners, customers or collaborators
  • Experience in multi-disciplinary teams, including with laboratory members
  • Startup, biotech or pharma experience
  • Must have the right to work in the UK; visa sponsorship is not available

Benefits

Comp & perks
  • Share option scheme
  • Matched pension contributions up to 8%
  • Private healthcare with Aviva
  • Performance-related bonus scheme
  • Flexible hybrid working (minimum 2 days per week on-site)
  • 25 days holiday plus bank holidays
  • Discretionary 3-day Christmas shutdown
  • On-site parking
  • Gym
  • Restaurant
  • Countryside on the doorstep