Track I Large-Scale Population Cohorts: Subtrack 2. CBO (China Baby Omics)(J28001)

Foundation Model

Supports reinforcement training of the Genos genomic foundation model to build a globally leading maternal and child health foundation model.

Vertical Applications

• 1.Risk prediction models and products for gestational diseases.
• 2.Neonatal genomic models and products.

Affiliated Branches

• Guangdong–Hong Kong–Macao Branch (Shenzhen)
• Hangzhou Branch (Hangzhou)

(1) Preferred Background

Genetics, Bioinformatics, Obstetrics & Gynecology, Pediatrics, Computational Biology, or Computer Science.

(2) Core Technical Skills

Proficiency in genomic data analysis; risk modeling for longitudinal or maternal-child datasets; variant annotation and interpretation.

(3) Modeling Competency

Understanding of multi-omics integration; ability to translate predictive models into clinical decision-support tools.

(4) Preferred Qualifications

Experience with maternal-child cohort data; familiarity with reproductive health research or newborn genomics.

(5) Personal Traits

Detail-oriented, clinically sensitive, interdisciplinary mindset, and interested in AI-driven preventive healthcare.