The Health Equity Data Lab (HEDL) at the Lucy Family Institute for Data and Society (LFIDS) seeks highly motivated and enthusiastic candidates to fill a post-doctoral fellow position at the intersection of data and health related topics. Of special interest to this position are topics of sexual and reproductive health measure development, maternal health measure development, health-related comparative studies, or related subjects. The post-doctoral fellow with work with Dr. Sarah Mustillo and Dr. Nitesh Chawla, as well as other faculty and staff at the HEDL and industry partners from multiple major organizations from health care field. This fellowship presents unique opportunities for post-doctoral researchers to gain research experience, professional development, and work on a national project with a dynamic interdisciplinary team.
Lauched less than a year ago, the HEDL at the Lucy Family Institute is working to advance interdisciplinary research and translation at the intersection of health equity and data science / AI, identified through a collaborative process. HEDL will develop a comprehensive framework for tackling health and health care equity challenges, specifically at theintersection of medical and social care. The Lab will take a data-driven approach, which will work to identify measurable and actionable health inequities to prioritize resource allocation.
The vision of HEDL is to become the pre-eminent convening center of discussions, problem scoping, and solutions on health equity data and responsible AI for health & wellbeing. Post-doctoral research associates will play a critical role in working with Notre Dame community and the industry to develop novel, groundbreaking research that helps execute this vision.
Responsibilities: There will be multiple projects using both qualitative and quantitative methodologies. Job responsibilities may include assistance in developing surveys instruments, conducting qualitative/cognitive interviews, and analyzing interview and survey data, including with the use of advanced data analysis tools. Post-docs will play an integral part in conducting data analyses using both quantitative and qualitative data, writing of manuscripts, preparation of reports, and dissemination of results at academic conferences.
The position is funded for a year with a possibility for an extension for another year, depending on performance. Salary will commesurate with skills and experience, and the position is benefit-eligible. Position can start immediately, but will be open until filled. To find out more about the Lucy Institute for Data & Society and the Health Equity Data Lab within the institute, please refer to the Institute's annual report, https://online.flippingbook.com/view/839599272/i/.
Qualifications
Qualifications: Applicants are invited from any relevant discipline including social and behavioral sciences (e.g., sociology, psychology, public health, political science). Candidates must have received a doctoral degree from an accredited educational institution by the start of appointment. The successful applicant will have a strong interest and research experience in quantitative methodology including data management such as merging datasets, recoding variables, cleaning data, and data analysis including categorical data analysis and regression, and experience managing research projects. Interest and experience in qualitative methodology including conducting interviews and analyzing interview data is a plus. Experience in any of the following: machine learning, multi-modal data integration, imbalanced learning, or responsible AI topics is desirable. The applicant must have excellent oral and written communication skills as well as interpersonal and organizational skills. Demonstrated successful dissemination of scholarship would be an advantage. Women, minorities, and members of other underrepresented groups are especially encouraged to apply.
Application Instructions
Applicants should send a brief description of their research interests, a curriculum vitae, anticipated start dates, and three confidential letters of recommendation via Intefolio Dossier.
Equal Employment Opportunity Statement
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a).
Background Check
This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.
