Associate Director & Senior Principal Data Science, AI for Biologics

Location: Dublin, Ireland (hybrid). This role is based in Dublin, and hirify.global is unable to offer relocation support; apply only if accessible.

Annual base salary: €89,180.00–€165,620.00, plus potential performance-based bonus.

Company

hirify.global develops medicines and applies scientific and technological innovation to improve patient outcomes.

What you will do

• Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design.
• Translate drug-discovery challenges into AI opportunities with hypotheses, evaluation methods, and success criteria.
• Develop and evaluate AI methods for protein structure prediction, biological foundation models, and generative molecular design.
• Lead proof-of-concept studies linking computational performance with experimental validation and scientific outcomes.
• Partner with engineering, product, data, platform, academic, biotechnology, and technology organizations to develop reusable AI capabilities and external collaborations.
• Advise senior stakeholders on emerging technologies, evidence, uncertainty, trade-offs, risks, and value while mentoring scientists and data scientists.

Requirements

• Doctoral degree or equivalent experience in machine learning, computational biology, bioinformatics, structural biology, protein engineering, or a related discipline.
• At least five years of hands-on experience translating complex scientific or biomedical challenges into machine learning and AI solutions.
• Practical experience applying protein language models, generative models, or other AI methods to biomolecular sequence and structure data.
• Deep expertise in biologics or antibody discovery, connecting computational predictions with experimental decisions and downstream development considerations.
• Experience designing rigorous model evaluation and validation studies, including benchmarking, prospective testing, or experimental validation.
• Scientific leadership experience, including influencing cross-functional stakeholders and translating AI innovation into measurable drug-discovery or portfolio impact.

Nice to have

• Knowledge of molecular dynamics, statistical potentials, or structural bioinformatics applied to protein and biologics research.
• Scientific standing demonstrated through publications, patents, external collaborations, invited presentations, open-source contributions, or professional leadership.

Culture & Benefits

• Flexible and hybrid working options where possible.
• Insurance plans, retirement plans, wellbeing resources, and global recognition programs.
• Minimum of 14 weeks of paid parental leave.
• Inclusive and diverse work environment with pay equity and gender-neutral salary-setting objectives.
• Benefits and compensation vary by country and applicable local legal requirements.