Job Summary:
Calico Life Sciences is an Alphabet-founded research and development company focused on understanding the biology of human aging. They are seeking a Machine Learning Scientist to develop deep learning models for analyzing biological sequences and to collaborate with experimental scientists to translate computational findings into biological insights.
Responsibilities:
โข Design and train deep learning models for biological sequence analysis, with emphasis on gene regulation, single-cell genomics, and variant interpretation
โข Partner with experimental scientists to connect model predictions to biological mechanisms โ designing validation experiments, analyzing large-scale genomics data, and translating computational findings into actionable biological insights
โข Communicate research through publications, open-source software, and public-facing tools
Qualifications:
Required:
โข PhD in computational biology, bioinformatics, computer science, or a related field, and 0-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of additional training in an industry or academic setting, with a strong publication record
โข Deep expertise in machine learning with solid grounding in algorithms, data structures, and statistics
โข Substantive knowledge of molecular biology and genetics; familiarity with genomic data types and public data resources
โข Hands-on experience analyzing genomics sequencing data, ideally including single-cell assays
โข Fluency with modern AI-assisted development and research tools (e.g., LLM-based coding assistants, literature synthesis), with a habit of proactively integrating new tools to accelerate scientific workflows
โข A collaborative disposition, strong follow-through, and comfort working at the interface of computation and experiment
โข Must be willing to work onsite at least four days per week
Company:
Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies. Founded in 2013, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.