About the Institute
Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions?
We are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous.
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.
Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems.
Northeastern University's Institute for Experiential AI has established a position for a Research Scientist focused on work at the intersection of artificial intelligence Health/Wellness. The Research Scientist will be based out of either the Boston, MA or Charlotte, NC (as possible location) campus and conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding applications, and project manage in connection with projects. This position has a three-year, renewable appointment.
The position will be associated to one of the following specialization areas: AI + Health: this area leverages AI to study and solve complex problems in the health sciences, including fields such as digital pathology, EHR/EMR data, real world evidence/data and related fields.
Minimum Qualifications, Values & Abilities Needed for this Role
“A Ph.D. in computer science, AI, Data Science, computational biology, or related field as it pertains to health or healthcare, broadly.” A record of outstanding research post Ph.D., as evidenced by publications, grants, software outputs, and other scholarly measures of impact. Proposal preparations for sponsored research funding, research experience involving team science projects, and project management experience are highly desired.
Values & Abilities:
Demonstrated ability to lead a research program and secure extramural funding.
We expect research scientists to establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms.
Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials, journalists/media, etc.
Comfortable navigating complex internal processes and structures.
Respect for diversity and the importance of interdisciplinary teams.
Entrepreneurial mindset, self-starter and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and working across multiple teams/business units.
Team-player who can collaborate effectively in a university setting.
Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University.