Kaiser Permanente - Washington Permanente Medical Group
Federal Way, Washington
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Postdoctoral Fellow, Digital, Data, and Design Institute - Laboratory for Innovation Science
Harvard University
Application
Details
Posted: 28-Nov-25
Location: Cambridge, Massachusetts
Internal Number: 15586
School: Harvard Business School
Position Description:
The Digital Data Design (D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As part of an interdisciplinary research team dedicated to advancing management science, the fellows will develop novel quantitative methods at the interface of statistical learning, experimental design, and optimization to address challenges created by the operationalization of AI within partner organizations.
The Postdoctoral Fellows will play a pivotal role within the LISH/Data and Science Operation Lab team, collaborating with Harvard Business School (HBS) and D^3 faculty and researchers to develop methods that underpin modern organizations. A unique aspect of the lab is that it fosters collaborations among operations researchers, statisticians, and computer scientists to overcome the methodological challenges posed by the misalignment between historical methods underpinning modern data science, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at D^3 will engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and Transparency, and Societal Impact.
Candidates should bring expertise in areas such as:
Causal inference and the design and analysis of experiments
Reinforcement learning and sequential decision-making
Analysis of complex systems, networks, and large-scale data
Machine learning, generative AI, NLP, or algorithmic decision systems
Ideal applicants will have a strong background in operations research, statistics, or computer sciences and the ability to work across disciplinary boundaries to generate rigorous, high-impact insights.
There are no teaching obligations for this position.
Basic Qualifications:
A Ph.D. or equivalent degree in Statistics, Operations Research or Management, Computer Science, or Information Systems. All degree requirements must be satisfied prior to the fellowship start date.
PLEASENOTE: If you have obtained your Ph.D. in the past 12 months you must be able to provide a certificate of completion from the degree-granting institution OR a letter from the institution's Registrar stating all requirements for the degree have been successfully completed and should verify the date the degree has been conferred. No exceptions.
Contact Information:
Harvard Business School Soldiers Field Road Boston, MA 02163
Contact Email: kdestadler@hbs.edu
Equal Opportunity Employer:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.