AI & Genomics Fellow — Design, Data, & Equity

PetsApp; Cambridge (MA); Hybrid; USD 90,000 - 100,000; Full time

Benefits offered by this job

Health insurance

401K

Equity

Job summary

Anthology is seeking an ambitious fellow in Cambridge, MA, blending AI and biology to advance genome design. The role spans hybrid on-site work with a two-year term and competitive compensation ($90-100k base plus equity).

You will shape the research agenda alongside the CTO, publish findings, and contribute to collaborations with MIT and Harvard. The Fellow will lead independent projects in sequencing data analysis, genome language models, and genotype–phenotype data integration, with access to

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 with a first-author publication and a clear plan for pursuing work here.
• Strong coding and end-to-end fluency with sequencing data: assembly, alignment, annotation, variant calling.
• Hands-on experience training, fine-tuning, or applying genome language models or other genome-scale models.
• Willingness to spend real time alongside genetics and hardware teams; not a laptop-only role.
• Able to work hybrid/on-site in Cambridge, MA; authorized to work in the United States.

Responsibilities

• Treat diversification as a design problem: what genomic diversity to generate, where, and how many rounds.
• Analyze large variant libraries: structural variation, copy number, regulatory changes vs phenotypes.
• Improve the genome annotation layer; reduce propagation of errors in downstream work.
• Adapt and evaluate genome-scale sequence models against internal genotype–phenotype data.
• Collaborate with genetics and hardware teams on measurements and device changes.
• Support grant applications and academic collaborations with partner labs.
• Publish and present externally, representing Anthology in the literature and conferences.

Skills

Genomics data analysis

Bioinformatics programming

Genome data processing

Research independence

Hybrid collaboration

Education

Ph.D. in AI x Bio, bioinformatics, genomics, ML or synthetic biology

Tools

Genome language models

Sequencing data analysis tools

Job description

Anthology is seeking an ambitious fellow in Cambridge, MA, blending AI and biology to advance genome design. The role spans hybrid on-site work with a two-year term and competitive compensation ($90-100k base plus equity).

You will shape the research agenda alongside the CTO, publish findings, and contribute to collaborations with MIT and Harvard. The Fellow will lead independent projects in sequencing data analysis, genome language models, and genotype–phenotype data integration, with access to