At a Glance
- Tasks: Analyse complex biological data and collaborate with scientists to drive antibody drug development.
- Company: Antiverse, a pioneering company in antibody drug development.
- Benefits: Stock options, flexible hours, private medical insurance, and 25 days holiday.
- Other info: Work in a dynamic Cardiff office with excellent career development opportunities.
- Why this job: Join a top team at the cutting edge of machine learning and drug discovery.
- Qualifications: Strong programming skills in Python or R and a passion for data analysis.
The predicted salary is between 40000 - 50000 € per year.
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.
Computational Biologist / Bioinformatics Data Scientist in Cardiff employer: Antiverse
Antiverse is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about the intersection of data science and experimental biology. With a commitment to employee development, generous benefits including stock options, private medical insurance, and flexible working hours, as well as a modern office located in the heart of Cardiff, Antiverse provides a stimulating environment for growth and meaningful contributions to antibody drug development.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Biologist / Bioinformatics Data Scientist in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to bioinformatics and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both lab and computational teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Antiverse.
We think you need these skills to ace Computational Biologist / Bioinformatics Data Scientist in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Computational Biologist or Bioinformatics Data Scientist. Highlight your programming skills in Python or R, and any relevant experience with NGS data handling.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how your background makes you a great fit for our team. Share specific examples of your work in experimental design or data analysis to really stand out.
Showcase Your Collaborative Spirit:Since we value teamwork, mention any past experiences where you've collaborated with scientists or other teams. This will show us that you thrive in a multidisciplinary environment, which is key for this role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Antiverse
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you'll be working with, especially NGS data. Brush up on your knowledge of variant calling and annotation, as well as any relevant immunoinformatics tools. Being able to discuss these topics confidently will show that you’re ready to hit the ground running.
✨Showcase Your Programming Skills
Since strong programming skills in Python or R are crucial for this role, prepare to demonstrate your coding abilities. Bring examples of scripts or analysis pipelines you've built in the past, and be ready to discuss how they contributed to your projects. This will highlight your technical prowess and problem-solving skills.
✨Communicate Clearly and Effectively
Given the collaborative nature of the role, practice explaining complex concepts in simple terms. You might be asked to present your findings or suggest next steps based on your analyses, so being able to communicate clearly with both lab and computational teams is key. Think about how you can make your insights accessible to everyone.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as this role requires working closely with various teams. Reflect on past experiences where you successfully collaborated on projects, particularly in multidisciplinary settings. Be ready to share specific examples that demonstrate your ability to work well with others and contribute to a shared goal.
