{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Computational Biologist / Bioinformatics Data Scientist”, “description”: “
Computational Biologist / Bioinformatics Data Scientist – Antiverse
Engineering the future of antibody drug development to change the course of people’s lives.
About the Role
We are looking for a bioinformatician who thrives at the interface of experimental biology, data science, and machine learning. You’ll work closely with both lab and computational teams to design, process, and interpret complex sequencing and assay datasets relating to our antibody discovery platform.
Day-to-Day Activities
- QC and process NGS data (reference selection, alignment, variant calling, annotation)
- Analyse sequencing outputs from phage display experiments
- Design and document reproducible, maintainable analysis pipelines.
- Collaborate with scientists to plan experiments that yield statistically robust and biologically informative datasets
- Build and maintain lightweight analysis tools, scripts, and automated reports to empower scientists to explore their data
- Collaborate with ML researchers to curate, stratify, and integrate multimodal datasets for model training
- Evaluate and integrate new data sources; checking for anomalies, assessing data quality, diversity and relevance.
- Communicate results clearly with wet lab and computational team members to provide next step recommendations.
Technical Skills
- Strong programming in Python (preferred) or R.
- Familiarity with NGS data handling and immunoinformatics tools and databases
- Solid grasp of experimental design, statistical analysis, and data QC principles.
- Competent with data visualization and reporting automation.
- Strong understanding of molecular biology in genomics and NGS contexts.
Who You Are
- You genuinely enjoy data – manual inspection and analysis can feel like detective work.
- You think critically about data distributions and experimental design.
- You’re comfortable moving between code, biology, statistics, and teamwork.
- You thrive in a multidisciplinary, collaborative environment.
- Understanding problems deeply and communicating your results clearly and compellingly is a big part of what you enjoy.
Location & Availability
Work in the Cardiff office 3 days per week to collaborate closely with both lab and computational teams.
Benefits
- Become part of a top team at the intersection of Machine Learning and Drug Discovery.
- Commitment to invest in your development, both technical and professional.
- Stock Options
- 25 days + public holidays
- 3 Summer Fridays
- Private medical insurance
- Flexible working hours
- Modern office space in the middle of Cardiff
- Allowances for equipment both for home and office
- Discounted Gym and Pool membership
- Referral Bonus
No recruiters, please.
#J-18808-Ljbffr”, “datePosted”: “2026-05-18”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Antiverse”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__435627926__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33047” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Cardiff” } } }Company: Antiverse
Location: Cardiff
Job Description:
Computational Biologist / Bioinformatics Data Scientist – Antiverse
Engineering the future of antibody drug development to change the course of people’s lives.
About the Role
We are looking for a bioinformatician who thrives at the interface of experimental biology, data science, and machine learning. You’ll work closely with both lab and computational teams to design, process, and interpret complex sequencing and assay datasets relating to our antibody discovery platform.
Day-to-Day Activities
- QC and process NGS data (reference selection, alignment, variant calling, annotation)
- Analyse sequencing outputs from phage display experiments
- Design and document reproducible, maintainable analysis pipelines.
- Collaborate with scientists to plan experiments that yield statistically robust and biologically informative datasets
- Build and maintain lightweight analysis tools, scripts, and automated reports to empower scientists to explore their data
- Collaborate with ML researchers to curate, stratify, and integrate multimodal datasets for model training
- Evaluate and integrate new data sources; checking for anomalies, assessing data quality, diversity and relevance.
- Communicate results clearly with wet lab and computational team members to provide next step recommendations.
Technical Skills
- Strong programming in Python (preferred) or R.
- Familiarity with NGS data handling and immunoinformatics tools and databases
- Solid grasp of experimental design, statistical analysis, and data QC principles.
- Competent with data visualization and reporting automation.
- Strong understanding of molecular biology in genomics and NGS contexts.
Who You Are
- You genuinely enjoy data – manual inspection and analysis can feel like detective work.
- You think critically about data distributions and experimental design.
- You’re comfortable moving between code, biology, statistics, and teamwork.
- You thrive in a multidisciplinary, collaborative environment.
- Understanding problems deeply and communicating your results clearly and compellingly is a big part of what you enjoy.
Location & Availability
Work in the Cardiff office 3 days per week to collaborate closely with both lab and computational teams.
Benefits
- Become part of a top team at the intersection of Machine Learning and Drug Discovery.
- Commitment to invest in your development, both technical and professional.
- Stock Options
- 25 days + public holidays
- 3 Summer Fridays
- Private medical insurance
- Flexible working hours
- Modern office space in the middle of Cardiff
- Allowances for equipment both for home and office
- Discounted Gym and Pool membership
- Referral Bonus
No recruiters, please.
#J-18808-Ljbffr…
Posted: May 18th, 2026