As a Postdoctoral Fellow, you will be working on a project related to developing artificial intelligence (AI)/machine learning (ML) models for deriving actionable insights from real world clinical records, including electronic health records and insurance claims. These insights should benefit downstream clinical tasks and care delivery, such as decision support tools at the point of care; multi-agent system for integrating insights from both data and knowledge sources (such as publications, guidelines or knowledge graphs). You will be responsible for the following:
- Conduct the research independently and/or collaboratively with colleagues to ensure all data analysis are appropriately conducted following Lab, Department, and College policies and procedures.
- Develop and implement AI/ML models and systems for analyzing the clinical data.
- Interpret and evaluate the analysis results obtained from the AI/ML models.
- Collaborate closely with clinicians to ensure the clinical validity of the developed AI/ML models.
- Draft manuscripts on the conducted research and get them published on prestigious venues such as Nature, Science and JAMA series.
- Present the research on academic conferences.
Minimum Qualifications:
The successful applicant should have obtained an MD or PhD degree within three years in health/biomedical informatics, computer science, engineering, or a related field, with two letters of reference.
Preferred Qualifications:
The successful applicant should have strong track records on developing AI/ML models for analyzing large scale clinical records data (e.g., electronic health records or insurance claims).
Application Process:
Interested applicants should submit, via email: (1) a cover letter describing their qualifications for and interest in the position; (2) a recent CV; and (3) the names and contact information of two references to Fei Wang at few2001@med.cornell.edu as soon as possible. Review of applications will begin immediately and will continue until the position is filled.
Commitment to Diversity
Weill Cornell Medicine is committed to fostering a culture of diversity and inclusion among our faculty, staff, and students. We seek out individuals with a diverse range of backgrounds and experiences, and we work to create programs that support both our current employees and our recruitment efforts.
EEO Statement
Weill Cornell Medicine welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Appointment Term:
The initial appointment will be one year, and the appointment is renewable each year.
Starting Date:
We expect the successful candidate to start as soon as possible.
Location of Appointment:
The candidate is expected to work in-person at
6th Floor. 575 Lexington Ave. New York. NY 10022.
Lab and Department Websites:
Lab website: https://wcm-wanglab.github.io/
Department website: https://phs.weill.cornell.edu/
Salary:
$80K-$90K
Benefits:
A summary of employee benefits can be found on the WCM Human Resources website.
Visa Options:
Candidates applying for this position could be eligible for a J-1 Exchange visitor visa and the H-1B temporary worker visa.
Union Membership:
This position is covered under a Collective Bargaining Agreement (CBA) between Weill Cornell Medicine and the International Union, United Automobile, Aerospace, and Agricultural Implement Workers of America (“UAW”), and its Local Union, Weill Cornell Medicine Postdocs United-UAW Local 4100.
Contact
Population Health Sciences
