Job summary
Job post source
This job is directly from DePaul University
Job overview
The Postdoctoral Researcher at DePaul University will contribute to the NSF-funded SCHOLAR project by developing machine learning tools and software to support community health workers in improving healthcare outcomes.
Responsibilities and impact
The role involves data collection, modeling, developing and iterating the SCHOLAR dashboard with CHW feedback, collaborating with research personnel, mentoring students, and disseminating research findings through publications and presentations.
Compensation and benefits
The position offers a salary range of $64,662 to $100,000 per year, top-tier medical, dental, and vision benefits, a 10% retirement plan matching contribution, tuition waivers, and generous paid time off.
Experience and skills
A Ph.D. in Computer Science, Data Science, Health Informatics, Human-Centered Computing, or a related field is required.
Career development
The role provides opportunities to work in cutting-edge medical informatics research with a dynamic team, contributing to professional growth through research dissemination and collaboration.
Work environment and culture
DePaul University values diversity, inclusion, and collaboration, fostering a supportive environment that respects diverse cultures and backgrounds.
Company information
DePaul University is a stable, well-known institution committed to diversity and inclusion, with a mission to make education accessible to underserved communities.
Team overview
The candidate will join the Medical Informatics Lab within the Visual Informatics and Data Analytics group, working alongside faculty, students, and researchers.
Job location and travel
The position is based at DePaul University's Medical Informatics Lab, affiliated with the College of Computing and Digital Media.
Application process
Applicants must submit a resume and cover letter; final candidates will undergo a background check before employment.
Unique job features
The job uniquely integrates machine learning with human-centered AI in a community health context, offering the chance to impact healthcare access through innovative technology.
Company overview
DePaul University is a private, Catholic research university located in Chicago, Illinois, known for its diverse student body and strong emphasis on experiential learning. It offers a wide range of undergraduate and graduate programs across its 10 colleges and schools, including the Driehaus College of Business and the College of Computing and Digital Media. The university generates revenue through tuition, grants, donations, and partnerships with various organizations. Founded in 1898 by the Vincentians, DePaul has a rich history of community service and social justice, aligning with its mission to provide education to underserved populations.
How to land this job
Tailor your resume to highlight your expertise in machine learning, data preprocessing, and software development, especially focusing on translating algorithms into user-friendly interfaces as emphasized in the SCHOLAR project.
Emphasize collaborative skills and experience working with interdisciplinary teams, including mentoring roles and iterative design processes involving end-user feedback, reflecting the job's focus on community health workers and research personnel.
Apply through multiple platforms including DePaul University's official careers page and LinkedIn to maximize your chances of being noticed for this postdoctoral researcher role.
Connect on LinkedIn with faculty and researchers in DePaul's Medical Informatics Lab and the VIDA group; start conversations by referencing recent publications or projects related to medical informatics or human-centered AI to break the ice.
Optimize your resume for ATS by incorporating keywords such as 'machine learning,' 'data analysis,' 'human-centered AI,' 'software development,' 'iterative design,' and 'community health workers' to ensure your application passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application venues, and find relevant LinkedIn connections, allowing you to focus your energy on preparing for interviews and advancing your research career.
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