Translational Genomics AI/ML Scientist

Location: Hybrid role based in Durham, North Carolina, United States

Company

hirify.global Field Crops develops agricultural technologies combining precision breeding, biotechnology, and digital platforms to improve crop performance and support sustainable farming.

What you will do

• Lead the design and delivery of AI/ML-enabled genomics capabilities for trait discovery, genomic prediction, and breeding decisions.
• Develop, validate, and operationalize graph machine learning, foundation models, knowledge graphs, and explainable AI methods.
• Build scalable bioinformatics and machine-learning workflows integrating genomic variation, annotations, expression data, pathways, phenotypes, and literature evidence.
• Create biological data representations, feature-engineering strategies, and predictive models that support research decision-making.
• Collaborate with geneticists, breeders, molecular biologists, data scientists, software engineers, and product teams.
• Document methods, validate models, communicate scientific results, and ensure reproducible implementation and handover.

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related discipline.
• Strong background in genomics, quantitative genetics, population genetics, or computational biology.
• Expertise in machine learning and statistical modeling, with proficiency in Python and scientific computing.
• Experience working with large-scale biological datasets and a strong publication or research record.
• Excellent communication and collaborative problem-solving skills.
• Must be authorized to work in the United States without sponsorship.

Nice to have

• Experience with graph-based genomic representations, GNNs, GATs, graph embeddings, or network analytics.
• Experience with foundation models, transformers, DNA language models, or biological large language models.
• Knowledge of knowledge graphs, semantic technologies, biological ontologies, or AI-assisted scientific research workflows.
• Experience with AWS, Snowflake, distributed computing, MLOps, plant genomics, breeding, crop science, or agricultural biotechnology.

Culture & Benefits

• Flexible work options supporting personal and professional needs.
• Culture focused on belonging, collaboration, professional development, and work-life balance.
• Medical, dental, and vision benefits beginning on the first day.
• 401(k) plan with company match, profit sharing, and retirement savings contributions.
• Paid vacation, paid holidays, parental leave, education assistance, wellness programs, and corporate discounts.