The Department of Population Health Sciences at Weill Cornell Medicine is inviting applications for a postdoctoral researcher position in Health Informatics. This position is funded by the National Institutes of Health (NIH) and Weill Cornell Medicine.
The research program at Weill Cornell Medicine has strong expertise and a track record in health informatics, data science, and clinical decision support. We are actively building our research portfolio using large datasets, including administrative healthcare claims data and electronic health records, to develop and implement data-driven clinical decision support. The postdoctoral researcher will work alongside a team of health informaticians, computer scientists, statisticians, and clinicians on research studies to develop and implement clinical decision support tools for clinical care. The role provides close mentorship to help develop the postdoctoral researcher’s independent research career in health informatics, data science, and medicine.
As a Postdoctoral Associate, you will be working on a project to develop and implement clinical decision support tools, conducting research and development in areas including, but not limited to, AI/machine learning, clinical decision support, software development, and operations research. You will be responsible for the following:
- Conduct the research independently and/or collaboratively with colleagues to ensure all studies are appropriately conducted following Lab, Department, and College policies and procedures.
- Designing, organizing, and carrying out studies using established methods and protocols, and sometimes adapting to and designing new approaches.
- Collect, prepare, and analyze research data. This may include maintaining detailed documentation of analyses and recording research data and/or maintaining a computer database of the research data.
- Tabulate data for presentations and use graphics and statistical software to analyze and present data.
- Participate in abstract and article preparation with the Principal Investigator, publish results in research journals, and present findings at conferences.
- Assist the Principal Investigator in applying for fellowship, grant, and scholarship support, as requested.
- Assume general responsibility for scientific operations of the research group, including training and supervising interns, students, and other research personnel, as necessary.
Minimum Qualifications:
Applicants must hold a Ph.D., M.D./Ph.D., or equivalent degree in Biomedical Informatics, Computer Science, Health Information Technology, Data Science, or a related field. A record of significant research accomplishments demonstrated through work experience and publications in top-tier peer-reviewed journals and conferences in related fields is required. Applicants must possess strong working experience with electronic health records and insurance claims data and have working knowledge of programming with Python, R, and JavaScript. The successful candidate must have excellent oral and written communication skills. Two letters of recommendation are required.
Preferred Qualifications:
- Experience developing clinical decision support tools in real-world clinical settings.
- Familiarity with AI/machine learning methods and their application to large-scale healthcare data.
- Demonstrated ability to work effectively within an interdisciplinary team of informaticians, computer scientists, statisticians, and clinicians.
Application Process:
Interested applicants should submit a curriculum vitae and a letter of interest highlighting their research interests and career goals to Yiye Zhang, Ph.D. (yiz2014@med.cornell.edu), Associate Professor in the Department of Population Health Sciences and Emergency Medicine at Weill Cornell Medicine.
Appointment Term:
One year, with the possibility of reappointment contingent on performance and funding availability.
Starting Date:
Flexible; the position is available immediately and will remain open until filled.
Location of Appointment:
Weill Cornell Medicine main campus, New York City, New York.
Lab and Department Websites:
Department of Population Health Sciences: https://phs.weill.cornell.edu/about-us
Salary:
Salary will be commensurate with experience and in compliance with the salary minimums set forth in the Postdoc Union’s collective bargaining agreement (CBA, Article 6 Compensation, pgs. 12-14).
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.
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.