Anthology Fellow

About the role

The Anthology Fellow will play a pivotal role in setting the research agenda for the company, focusing on the design and analysis of genomic diversity, improving genome annotation, and developing and evaluating genome-scale sequence models.

Responsibilities

• Treat diversification as a design problem rather than a fixed protocol: what genomic diversity to generate, where, and in how many rounds
• Analyze large variant libraries: structural variation, copy number, and regulatory change, mapped against phenotypes measured on our own instruments
• Improve the genome annotation layer that downstream work depends on; annotation in non-model organisms is poor, and every error propagates
• Adapt and evaluate genome-scale sequence models against our internal genotype–phenotype data, and turn their output into design decisions that close the loop
• Partner with the genetics and hardware teams on what to measure and how, including device changes that would unlock data we can't currently collect
• Support grant applications and academic collaborations, including joint proposals with partner labs at MIT, Harvard, and elsewhere
• Publish and present externally, representing Anthology's science in the literature and at conferences

Qualifications

• Ph.D. (completed, or expected within six months) in AI x Bio, bioinformatics, genomics, machine learning, synthetic biology, or a related field
• Demonstrated research independence — a first-author publication, a clear sense of what you'd pursue here, and comfort with genuine ambiguity
• Strong coding and end-to-end fluency with sequencing data: assembly, alignment, annotation, variant calling, and their failure modes
• Hands-on experience training, fine-tuning, or applying genome language models or other genome-scale models, and the judgment to know how to choose and integrate them
• Able to work hybrid/on-site in Cambridge, MA
• Able to work in the United States (STEM-OPT is welcomed)

Nice to have

• Genomics experience in any eukaryotic system — fungal, animal, or plant. Filamentous fungi or yeast is a plus; picking up new systems fast matters more
• Long-read sequencing and structural variant calling
• Familiarity with mobile genetic elements and genome rearrangement techniques
• Experience with high-throughput screening data from droplet microfluidics, FACS, or mass spectrometry
• Grant writing experience (NSF, DOE, NIH, ARPA-E, ARPA-H, ARIA, or similar)