Postdoctoral Associate in Health Sciences (Cornell University)

Postdoctoral Associate in Health Sciences Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University Transportation Research Center dedicated to advancing sustainable technology-enabled mobility for public and planetary health—located in Ithaca, NY, invites applications for a Postdoctoral Associate in Health Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This position offers the unique opportunity to conduct deeply interdisciplinary research spanning engineering systems, health informatics, clinical operations, data science, and decision support, contributing to the emerging research frontier of healthcare systems engineering. The Fellow will be jointly mentored by faculty from Cornell Engineering and Weill Cornell Medicine and will engage in research that advances methodological innovation while addressing real challenges in healthcare delivery. Position Overview The Postdoctoral Associate will contribute to research at the intersection of: Health systems engineering and systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful candidate will work with interdisciplinary teams of engineers, health informaticians, clinicians, data scientists, and behavioral scientists from Cornell Engineering and Weill Cornell Medicine. The role includes opportunities to collaborate with New York Presbyterian Hospital, hospital operations teams, and partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing systems engineering methods for health delivery design, evaluation, and transformation Designing and implementing agent-based, network, or graph models to study patient flow, care pathways, and population-level outcomes Creating data-driven and privacy-aware decision-support tools for clinicians, administrators, or patients Integrating multi-source, high-dimensional datasets (EHR, claims, environmental/socioeconomic data, sensor data) Contributing to translational research that tightens the loop between engineering innovation and clinical practice Disseminating findings through high-impact journals, conferences, and stakeholder engagements The Fellow will be encouraged and mentored to establish an independent research trajectory and develop skills necessary for a future faculty or research leadership career. Methodological Areas of Interest Applicants with experience in the following areas are especially encouraged to apply: Optimization (deterministic, stochastic, robust, reinforcement learning–based) Systems architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science, Biomedical Informatics, Health Information Technology, or a related field Evidence of high-quality research productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets, ideally including clinical, operational, or health-related data Excellent communication skills and the ability to interact with multidisciplinary collaborators Preferred Research experience with EHR, claims, or clinical workflow data Experience with healthcare operations, health policy analysis, clinical decision support, or translational informatics Background in systems engineering modeling applied to human-centered or safety-critical environments Interest in preparing for a career as a faculty member or research leader in engineering, informatics, public health, or health systems science Application Instructions To apply, application materials must be submitted online through AcademicJobsOnline at: https://academicjobsonline.org/ajo/jobs/31412 Applicants must submit: Cover letter describing research interests and how their expertise fits this position Curriculum vitae including a complete list of publications Research statement on future research interests, directions, and career goals (3-page maximum, single-spaced) Graduate transcripts Three publications relevant to the topic Contact information for at least three references Review of applications will begin immediately and will continue until the position is filled. The initial appointment will be for one year, with possible extensions. Salary will be commensurate with qualifications and experience. Questions can be directed to: cee_search@cornell.edu Compensation Minimum Starting Salary $62,232 Pay Range $62,232.00 – $88,745.00 The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Academic discipline (faculty pay ranges reflect 9-month annual salary) Unique applicable skills Equal Employment Opportunity Statement Cornell 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, genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit and encourage people from historically underrepresented and/or marginalized identities to apply. Cornell engages in affirmative action in employment for qualified protected veterans and qualified individuals with disabilities and recognizes lawful employment preferences for Native Americans living on or near Indian reservations. Employment Assistance For general questions about the position or application process, please contact the recruiter listed in the job posting or email mycareer@cornell.edu. Applicants requiring accommodation for a disability may contact the Cornell Office of Civil Rights at (607) 255-2242 or accommodations@cornell.edu. Applicants without internet access may visit a local library or Department of Labor, or request access to a workstation at the Ithaca campus by emailing mycareer@cornell.edu. Posting Date 2025-12-18 If you apply for this position please say you saw it on Medicinoxy

Postdoctoral Associate in Health Sciences

Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University Transportation Research Center dedicated to advancing sustainable technology-enabled mobility for public and planetary health—located in Ithaca, NY, invites applications for a Postdoctoral Associate in Health Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program.

This position offers the unique opportunity to conduct deeply interdisciplinary research spanning engineering systems, health informatics, clinical operations, data science, and decision support, contributing to the emerging research frontier of healthcare systems engineering. The Fellow will be jointly mentored by faculty from Cornell Engineering and Weill Cornell Medicine and will engage in research that advances methodological innovation while addressing real challenges in healthcare delivery.

Position Overview

The Postdoctoral Associate will contribute to research at the intersection of:

Health systems engineering and systems architecting
AI/ML-driven clinical and operational decision support
Digital health and learning health systems
Healthcare operations, resource allocation, and workflow optimization
Network, graph, and agent-based modeling for care delivery
Health equity, patient access, and system resilience
Multi-modal data integration using EHR, claims, environmental, and behavioral datasets

The successful candidate will work with interdisciplinary teams of engineers, health informaticians, clinicians, data scientists, and behavioral scientists from Cornell Engineering and Weill Cornell Medicine. The role includes opportunities to collaborate with New York Presbyterian Hospital, hospital operations teams, and partners in the digital health and health delivery ecosystem.

Research Responsibilities

Responsibilities will vary depending on the Fellow’s background, but may include:

Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation
Advancing systems engineering methods for health delivery design, evaluation, and transformation
Designing and implementing agent-based, network, or graph models to study patient flow, care pathways, and population-level outcomes
Creating data-driven and privacy-aware decision-support tools for clinicians, administrators, or patients
Integrating multi-source, high-dimensional datasets (EHR, claims, environmental/socioeconomic data, sensor data)
Contributing to translational research that tightens the loop between engineering innovation and clinical practice
Disseminating findings through high-impact journals, conferences, and stakeholder engagements

The Fellow will be encouraged and mentored to establish an independent research trajectory and develop skills necessary for a future faculty or research leadership career.

Methodological Areas of Interest

Applicants with experience in the following areas are especially encouraged to apply:

Optimization (deterministic, stochastic, robust, reinforcement learning–based)
Systems architecture and design for complex socio-technical systems
Graph theory, network science, and knowledge representation
Agent-based and simulation modeling
AI/ML, foundation models, causal inference, and predictive analytics
Human factors, behavior science, and patient-centered design
Advanced computing and scalable algorithms
Decision science and learning health systems design

Qualifications

Required

Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science, Biomedical Informatics, Health Information Technology, or a related field
Evidence of high-quality research productivity (publications, presentations, software, system prototypes)
Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools)
Experience working with real-world datasets, ideally including clinical, operational, or health-related data
Excellent communication skills and the ability to interact with multidisciplinary collaborators

Preferred

Research experience with EHR, claims, or clinical workflow data
Experience with healthcare operations, health policy analysis, clinical decision support, or translational informatics
Background in systems engineering modeling applied to human-centered or safety-critical environments
Interest in preparing for a career as a faculty member or research leader in engineering, informatics, public health, or health systems science

Application Instructions

To apply, application materials must be submitted online through AcademicJobsOnline at:
https://academicjobsonline.org/ajo/jobs/31412

Applicants must submit:

Cover letter describing research interests and how their expertise fits this position
Curriculum vitae including a complete list of publications
Research statement on future research interests, directions, and career goals (3-page maximum, single-spaced)
Graduate transcripts
Three publications relevant to the topic
Contact information for at least three references

Review of applications will begin immediately and will continue until the position is filled. The initial appointment will be for one year, with possible extensions. Salary will be commensurate with qualifications and experience.

Questions can be directed to: cee_search@cornell.edu

Compensation

Minimum Starting Salary
$62,232

Pay Range
$62,232.00 – $88,745.00

The hiring rate of pay for the successful candidate will be determined considering the following criteria:

Prior relevant work or industry experience
Education level to the extent education is relevant to the position
Academic discipline (faculty pay ranges reflect 9-month annual salary)
Unique applicable skills

Equal Employment Opportunity Statement

Cornell 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, genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable law.

Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit and encourage people from historically underrepresented and/or marginalized identities to apply. Cornell engages in affirmative action in employment for qualified protected veterans and qualified individuals with disabilities and recognizes lawful employment preferences for Native Americans living on or near Indian reservations.

Employment Assistance

For general questions about the position or application process, please contact the recruiter listed in the job posting or email mycareer@cornell.edu.

Applicants requiring accommodation for a disability may contact the Cornell Office of Civil Rights at (607) 255-2242 or accommodations@cornell.edu.

Applicants without internet access may visit a local library or Department of Labor, or request access to a workstation at the Ithaca campus by emailing mycareer@cornell.edu.

Posting Date
2025-12-18

If you apply for this position please say you saw it on Medicinoxy

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