Translational Genomics AI ML Scientist
Core
Develop next-generation computational capabilities connecting genomics, machine learning, and biological interpretation to real-world crop research and breeding decisions.
Role type
Senior IC translational genomics AI/ML scientist
Builds
Reusable digital tools, predictive models, and scalable bioinformatics workflows for trait discovery and genomic prediction
Domain
Agriculture + Computational Genomics/AI
Deliverable
production ML models | product features
Required skills
Genomics, quantitative genetics, population genetics, machine learning, statistical modeling, Python, scientific computing, large-scale biological data analysis, research track record
Preferred skills
Graph machine learning (GNNs, GATs), foundation models, transformers, DNA language models, knowledge graphs, cloud computing (AWS, Snowflake), MLOps, plant genomics, breeding, crop science
Technologies
Python, AWS, Snowflake, GNNs, GATs, transformers, DNA language models
Responsibilities
Lead scientific design and delivery of AI/ML-enabled genomics capabilities; Develop and validate advanced computational methods including graph ML and explainable AI; Build scalable bioinformatics and ML workflows integrating genomic variation, annotations, and phenotypes; Advance computational genomics approaches with scalable representations and predictive models; Partner with geneticists, breeders, and product teams to translate biological questions into analytical solutions; Communicate methods, results, and biological interpretations to stakeholders; Drive innovation in AI/ML and genomics approaches; Ensure solutions follow scientific, data governance, and reproducibility practices
Seniority
Senior, hands-on IC
