Success Story: Biomedical Data Science Researcher from China Secures I-140 NIW Approval Without RFE

Client’s Testimonial:

 

"WeGreened provided professional service that makes the whole filing process free of stress."

 


 

On July 31st, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Research Assistant in the Field of Biomedical Data Science (Approval Notice).

 


 

General Field: Biomedical Data Science

 

Position at the Time of Case Filing: Research Assistant

 

Country of Origin: China

 

State of Residence at the Time of Filing: Minnesota

 

Approval Notice Date: July 31st, 2026

 

Processing Time: 27 months, 19 days (Premium Processing Upgrade Requested)

 


 

Case Summary:

 

Dhanasar-Based Petition Strategy

 

North America Immigration Law Group is pleased to share the approval of an I-140 NIW petition for a biomedical data science researcher from China. Prepared under the Dhanasar framework, the petition demonstrated the substantial merit and national importance of the proposed endeavor, the client’s strong positioning to advance it, and the benefit of waiving the job offer and labor certification requirements. At the time of filing, the client was conducting research at a U.S. university and held a master’s degree.

 

Proposed Endeavor and National Importance

 

The client’s proposed endeavor focused on applying machine learning and statistical methods to biomedical data analysis. The petition explained that this work has broad applications in areas such as disease prediction, medical research, and healthcare decision-making. We demonstrated that the client’s work supports important national priorities by contributing to improved data-driven healthcare tools, reducing bias in analytical models, promoting more equitable outcomes, and advancing the responsible use of artificial intelligence in medicine.

 

Objective Evidence of Expertise

 

To show that the client was well positioned to advance the endeavor, the petition presented objective evidence of scholarly productivity, independent reliance, peer-review service, and funding recognition. The client’s record included:

 

  • 6 peer-reviewed journal articles
  • 3 conference articles, including 2 first-authored articles
  • 2 first-authored conference abstracts
  • 1 preprint
  • 61 citations to the client’s published work
  • At least 8 completed peer reviews
  • Research support connected to the National Cancer Institute

 

Demonstrating the Client’s Significance

 

The petition showed that the client’s significance extended beyond publication numbers. We demonstrated that independent researchers had relied on the client’s work in a range of biomedical and healthcare-related studies. These citations showed that the client’s analytical methods and research findings had become useful to other scholars studying biomedical data science and related applications.

 

We also highlighted that 3 of the client’s papers ranked among the top 10% most-cited Clinical Medicine articles for their publication years, and 1 additional paper ranked among the top 20% most-cited articles in the same field. This citation context helped show that the client’s work had received meaningful recognition from the research community.

 

NIW Approval and Outlook

 

The petition connected the client’s prior research record to the proposed biomedical data science endeavor by emphasizing the client’s experience with machine learning, statistical modeling, biomedical data analysis, clinical text processing, and fair and robust artificial intelligence methods. The case established the strength of the client’s education, publication record, citation impact, peer-review activity, funded research support, current U.S. research, and future plans in the field.

 

USCIS ultimately approved the client’s I-140 NIW petition without an RFE, supporting the client’s continued contributions to biomedical data science, healthcare artificial intelligence, disease risk prediction, drug discovery, and fair and reliable clinical analytics in the United States.