Postdoctoral Associate The Bo Xia Lab

The Bo Xia Lab is recruiting a Postdoctoral Associate to join an interdisciplinary research team. We welcome highly motivated independent and creative scientists who are excited tobuild predictive&programmable biologytogether andto tackle critical challenges in cancer and more about the Xia lab at:

Research Focus

Our lab develops and applies biologically grounded multimodal AI technologies to decode genome regulation and pioneer next-generation cell engineering and de novo cell type design. Genome regulation and cell fatedeterminationare intrinsically multimodal integrating genomic DNA sequences protein regulators and theircomplex interactions. Over the past few years we have built foundational multimodal genomics AI models such asandChromnitron that understand the core principles of genome regulation and enabled high-throughput in silicoscreening to accelerate biological discoveries. We continue to develop and apply innovative technologies to achieve a predictive interpretable and programmable understanding of cell fate determination in health and disease.

We seek motivated and ambitious scientists across career stages with strong backgrounds & interests in one or more of the following areas:

1) Multimodalmachine learning and generative AI

2) Single-cell multi-omics andcomputationalsystemsbiology

3) Gene regulation and cell fate determination

4) Synthetic biology and bioengineering applied to agingcancer biology stem cell & regenerative biology immunology or molecular neuroscience

Successful candidates will demonstrate strong independent research motivation problem-solving ability and enthusiasm for working in a multidisciplinary and collaborative environment. You will develop and/or apply state-of-the-art multimodal genomics AI technologies toaddress critical questions in aging regeneration and cancer biology.

Qualifications:

• 0-1 years of experience
• Ph.D. degree in computer science data science computational biology & single-cell multi-omics or related fields is required.
• Candidates should have strong programming skills and experience using machine learning frameworks (e.g. PyTorch TensorFlow).
• Expertise in multimodal machine learning generative AI agentic models etc. is highly encouraged.