The Department of Population Health Sciences (PHS) at Weill Cornell Medicine, in New York City is recruiting for a postdoctoral fellow. The ideal candidate will be a data scientist focused on health services research or healthcare systems science utilizing artificial intelligence/machine learning methods applied to large-scale clinical data. The successful applicant should have an MD or PhD or equivalent in health informatics, computer science, health services research, healthcare policy, or a related field.
PHS houses multiple high-quality large RWD sources, including but not limited to:
- INSIGHT Clinical Research Network (CRN) - a unique collaboration of eight academic medical centers across the greater New York City areas as swell as Houston, Texas. Funded by the Patient-Centered Outcomes Research Institute (PCORI), INSIGHT is part of the national Patient-Centered Clinical Research Network (PCORnet®) and serves a one of the nation’s largest urban CRNs. INSIGHT houses administrative and clinical electronic health record (EHR) data representing more than 23 million patient records.
- PCORnet-RECOVER EHR - a collaboration among PCORnet CRNs, including INSIGHT, that represents 41 institutions across the nation and is funded as part of the NIH Researching COVID to Enhance Recovery (RECOVER) initiative)
- Inovalon - a national, multi-payer claims database that includes ~226 million unique individuals across Medicare Advantage, Medicaid, and commercial plans, with data sourced directly from more than 160 payers.
PHS has also established the new WCM Data Coordinating Center where we will host data from clinical trials. In addition, we have access to the state-of-the-art computing environments at WCM and Cornell University, such as the Scientific Computing Unit (SCU), where data is served to users via a Mellanox HDR Infiniband network infrastructure with uplinks at 200GBs. Its analytical systems include 128 graphics processing units (GPUs) using a variety of nVIDIA P100, V100 and A100 and A40 cards along with 3424 total traditional CPUs. We are an active member of the New York State Empire AI consortium, where our faculty have access to the 144 H100 GPUs in its current “Alpha” machine. The computing power will be tripled in its “Beta” version that will be released later this year.
The postdoctoral fellow will be primarily working with Dr. Fei Wang, Associate Dean of AI and Data Science and Chief of the Division of Health Informatics and AI. They will also be mentored by Dr. Rainu Kaushal, Senior Associate Dean of Health Data Science and Chair of PHS and Dr. Yongkang Zhang, Assistant Professor in the Division of Health Policy and Economics. The candidate will be working on building AI models from large scale clinical data for benefiting downstream clinical tasks and care delivery, including predicting high-cost patients patients in Medicare, Medicaid, and commercially insured populations; 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); and others.
The department also collaborates closely across Cornell Ithaca and Cornell Tech.
Salary established below per annum commensurate with qualifications experience:
$80,000-$85,000
Weill Cornell Medicine provides the above salary range in compliance with the New York City law on Salary Transparency in Job Advertisements. The salary range listed is for full‐time employment not including bonuses, clinical incentive compensation, or benefits. Actual salaries depend on a variety of factors including but not limited to internal equity, specialty, training, and hospital/community needs.
The above salary range for New York City based roles represents WCM’s good faith and reasonable estimate of possible compensation at the time of posting.
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 three references to Ancheska Castillo at phs_admin@med.cornell.edu as soon as possible. Review of applications will begin immediately and will continue until the position is filled.
Cornell is an equal opportunity employer. For more information, visit hr.cornell.edu/eeo