Requirements

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in a technical leadership role; overseeing projects.
• 5 years of experience in a people management, supervision/team leadership role.

Nice to haves

• 5 years of experience leading software teams or software projects.
• Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
• Experience manipulating common life science data types including FASTQ, SAM/BAM, gff, BED, VCF, and PDB/CIF using bioinformatics or health informatics tools.
• Ability to identify, prioritize, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.
• Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).
• Demonstrated ability to translate biological concepts into computational workflows and evaluation benchmarks.

What you'll be doing

• Partner with GDI, research leadership, external authorities (biosecurity organizations, institutes, public health bodies), and cross-functional teams to navigate ambiguity, understand real-world bioresilience challenges, and set program objectives.
• Develop 0-to-1 solutions and workflows using internal platforms to build agents powered by foundation models such as Gemini, AlphaFold, and AlphaGenome, while curating specialized biological datasets, designing domain evaluations, and fine-tuning models to maximize real-world performance.
• Synthesize partner insights, edge cases, and deployment signals to inform future frontier model development and biological safety safeguards.
• Advocate best practices for safe GenAI deployment, demonstrating peak frontier model capabilities to solve high-impact biological problems end-to-end.
• Lead a team of software and research engineers, fostering an environment, developing talent, and partnering with leadership to prioritize high-impact opportunities.

Perks and benefits

• Be part of DeepMind, a pioneering AI lab focusing on advancing AI to solve complex global challenges and accelerate high-quality product innovation for billions of users.
• Collaborate across interdisciplinary teams with varied learning opportunities and career pathways.
• Contribute to the wider research community by partnering with universities and publishing papers.
• Work on real-world problems applying frontier AI and generative models for biological prevention, detection, and response.
• Benefit from a culture committed to safety, ethics, equity, and belonging.