a. Perform processing, integration, and bioinformatics analysis of multi-omics data (e.g., transcriptomics, single-cell omics, epigenomics, proteomics);

b. Develop and optimize analysis pipelines for multi-omics datasets to support ongoing research projects;

c. Transform multi-omics data into structured features suitable for machine learning and deep learning models, and participate in model development and evaluation;

d. Assist in research projects in physics- and AI-driven computational biology;

e. Participate in group meetings, data analysis discussions, and interdisciplinary collaborations.

Qualifications

a. Bachelor's degree or above in life sciences, bioinformatics, computational biology, physics, computer science, or related fields;

b. Hands-on experience in multi-omics data analysis (e.g., RNA-seq, single-cell sequencing, spatial transcriptomics, or related data types);

c. Proficiency in common bioinformatics tools and workflows, with experience in Linux environments and programming (Python and/or R);

d. Basic knowledge of machine learning or deep learning, with the ability to prepare and handle model input data preferred;

e. Strong scientific curiosity, good communication skills, and the ability to work collaboratively in an interdisciplinary environment;

f. Excellent communication skills in both Chinese and English (spoken and written), with the ability to thrive in an international research environment.

g. Prior experience in multi-omics data integration or AI modeling is a plus.

Preferred Qualifications (optional):

a. Competitive salary based on the applicant’s work experience and ability (salary negotiable).