1. Develop, own and manage a suite of complex data architecture and data solutions for healthcare industry.2. Develop Diagnosis-Intervention Packet (DIP) Analysis Methodology: Implement hierarchical cluster analysis in real-world data mining. The purpose of this work was to identify relatively homogenous groups underlying all-cause healthcare claim cost data.3. Manage and drive the standard for data architecture, domain model, prepare data platform specifications.4. Be involved in multiple projects for the consultation on data platform, data governance and cognitive intelligence.

In order to switch to clinical trial industry in my future career, I’m preparing related knowledge and skills as below.1. To learn clinical research regulatory requirements, i.e., ICH and GCP. Have got China GCP Certification.2. Signed up for CDISC training class, have a concept with SDTM, ADaM, etc..3. Study statistical methodology of clinical trial, especially with those up-to-date clinical trial design strategies and statistical methodology of oncology drugs and biologics.4. Reviewing those historical clinical trial projects when I worked in KendleWits, including their CRFs, SAPs, SAS codes and macros, TLFs. And practicing in writing SAS program to transform those datasets format based in CDISC requirements.5. Signed up for integrative analysis of genomic and epigenomic training, and learned those frequently-used statistical methodologies related genomic analysis.

1. Built a solid collaboraion with China TOP hospitals to support AI model development and identify customer's need.2. Be involved in pre-sales related activities in the whole selling life cycle.3. Participated as a member of the sales teams, identified cutomer's challenges and objectives, demonstrated the solution that address these requirements and brought business value to the organization.

1.Collaborate with physicians and clinical researchers to understand their needs, to identify critical problems as well as frame strategic solutions.2.Conduct end-to-end statistical analysis that includes data gathering, scientific research and clinical decisions support.3.Engage data gathering and provide decision support for data-driven operations by building insightful statistical models, and efficient and scalable analytics solutions.4.Develop comprehensive understanding of hospital internal and external data structures and data extraction metrics.

Lead Beijing team to support U.S. production team. Provide expertise in analytic methodologies to assigned projects for U.S. Statistical Studies and provide ongoing analytic support for existing U.S. Pharmaceutical Market Research studies, with focus on Production Support activities.

Responsibilities：1. Led a team to work in the project of Health Management Knowledge Base and Data Center, to developed health risk assessment model and health management service specification. 2. Responsible for health management products' development plan and implementation: kick-off, evaluation and monitoring. 3. Performed healthcare market analysis and generating insightful and value-added findings and suggestions for new products.Achievement: 1. Recruited and built up a new team with more than 10 members from diverse background, to meet the complex requirements in developing Health Management Knowledge Base.2. Managed the medical development team in Beijing and the medical editor team worked in Shenyang, built commitment among team and drove this new team to set and agree the roles and development goals.3. Developed a set of internal training course and knowledge sharing with the integration on different medical science and health management skills, to simulate continuous learning and development culture.

1. Co-founded this new company. 2. Managed the health risk appraisal model and develop the individual report. 3. Made the population report on health risk appraisal. 4. Leaded medical team to drive researching and developing new technology in the application of health management at workplace. 5. Responsible for requirement analysis for development of health management system. Contacted for customer to ensure understand customer’s need, which were from medical examination center or health insurance Company, or large-scaled enterprise, and I was responsible for solving their problems in time.

1 Developed statistical analysis plans (SAP) and prepared analysis data specifications. 2 Developed SAS programs to conduct statistical models and complete statistical analyses. 3 Performed data analysis and prepared statistical reports.