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The Bioinformatics Engineer will design cloud infrastructure for genomic data, maintaining a large protein sequence database and developing scalable data storage solutions.

The Talent & People Operations Lead will manage full-cycle recruiting and enhance people operations, focusing on talent acquisition and employee experience.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

The Software Engineer, MLOps will build cloud infrastructure, develop ML tooling, optimize workloads, and enhance CI/CD pipelines while supporting ML-focused projects.

The Assoc. Director of Business Development will lead licensing negotiations, evaluate opportunities, and collaborate with internal teams while having industry expertise in biotech or pharma.

Lead the development of cellular and animal models for evaluating gene editing proteins, collaborating with teams on translational efforts and mentoring junior scientists.

The Scientist I will lead cross-functional efforts in discovering and engineering novel gene editing proteins while developing robust workflows, assays, and analyzing data with a focus on therapeutic advancements.

Lead and mentor a software engineering team, own the architecture of a data platform for protein engineering, and ensure agile delivery practices.

The Scientific Program Manager will oversee the evaluation of protein design platforms, translate ML breakthroughs into experimental validations, and manage cross-functional teams and partnerships while driving research and development.