Computational Biologist / Bioinformatics Data Scientist

Computational Biologist / Bioinformatics Data Scientist

Engineering the future of antibody drug development to change the course of people’s lives!

Do you want to be part of an ambitious techbio start-up successfully tackling an issue nobody thought possible?

Antiverse is seeking aComputational Biologist / Bioinformatics Data Scientist to help develop therapeutics and an enabling biologics discovery technology against challenging targets for 30+ indications. If you're self‑motivated and able to work without step‑by‑step guidance with a real drive to get things done - we want to hear from you.

Join us to grow and evolve with a company transforming drug discovery!

We believe in the power of autonomy nurtured in a culture with the following values.

We work to make things better for everyone: both on a societal level and a personal level. We will thrive, as a team, as a company and as a society by combining smartness with thoughtfulness across everything we do.

We move fast and innovate in our thinking, yet combine this agility with utter rigour and robustness. We are dedicated to delivering rock‑solid solutions.

An ugly word for a beautiful idea. Our interdisciplinary approach goes deeper than our science. We believe that the best ideas and the most interesting conversations often come from synthesising diverse expertise and experiences.

We fundamentally believe in the value of each individual and the worth of their contribution regardless of the outcome. We believe that we all thrive best in a nurturing environment, and everything in our is committed to building this supportive culture.

We have the potential to transform lives. We will not let ourselves be sidetracked in this calling. We will not fail those whose future we can save.

We’re 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.

Each day can look very different at Antiverse, with new priorities coming in quickly. Below is a rough outline of the work you'll be involved in

• 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.

• 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.

• 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.

If you look at this list and think you could do this and are excited by the opportunity but lack some hands‑on experience, please get in touch anyway! We believe it's much easier to develop technical experience than develop motivation & excitement, and we're willing to invest our time and expertise in the right individual with the right motivations.

• 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.

• DOE

• 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

Keywords; ML Ops, Dev Ops, Infrastructure,Machine Learning, Deep Learning,Artificial Intelligence,Antibody Design, Peptide Design, Protein Language Models, Protein Graph Neural Networks,Protein Design, Drug-Target Interaction Prediction, Computational Biology