Senior Data Analyst
The UMN has suspended hiring for most positions. However, we will continue hiring for positions critical to the University's mission and operations at this time. Applications are being accepted for this position and you are encouraged to apply. In-person interviews are suspended indefinitely and will be replaced by interviews in a virtual format. Thank you for your continued interest in working at the University of Minnesota.
- A master's degree in a social science or public health field relevant to the projects described above.
- One year of relevant experience working on research projects like those described above.
- Strong written, verbal, and interpersonal communication skills.
- Experience interacting with people from various disciplines, communities, and cultures.
Additional selection criteria include:
- Expertise in both (1) demographic and social science perspectives and (2) biological processes pertaining to chronic disease - especially cardiovascular disease and dementia.
- Experience working with restricted-use data in secure computing environments.
- Graduate-level coursework completed in advanced quantitative research methods, formal demographic techniques, and secondary data analysis.
About the Job
We're seeking a Senior Data Analyst to join our diverse team of applied and academic researchers with expertise and interests in chronic diseases - especially cardiovascular disease (CVD) and dementia. We are looking for a smart, theoretically informed, and technically minded person who enjoys working on cutting edge interdisciplinary population health research projects. For this position, we seek someone with a strong data-driven social science or public health background and who has training in quantitative analysis and demographic methods with a focus on chronic disease (in general) and CVD and dementia (in particular). The person would work on two specific projects: The Atherosclerosis Risk in Communities Study (ARIC) Neurocognitive Study (NCS) and the 1940 US Census / Health and Retirement Study (1940-HRS).
1940-HRS: This project features individual-level records linked across the HRS and the 1940 US Census; in the latter, HRS sample members are observed as children in their families and communities. The data provide unique opportunities to study the impacts of early life social, economic, epidemiological, and spatial factors on later-life cognition and health. It also features biomarker data useful for testing hypotheses about the biological pathways through which such effects may arise.
For the 1940-HRS project, the Senior Data Analyst will be responsible for conducting statistical research and developing research articles on (1) the impact of early-life lead exposure on later-life health and cognition; (2) the impact of early-life social, economic, and infectious disease exposures on later-life cognition; and (3) the quality of retrospective reports of childhood socioeconomic circumstances in the HRS. All work will be collaborative with project leadership.
ARIC-NCS: ARIC was established as a cardiovascular disease cohort in the late 1980's. The nearly 16,000 participants have been followed continuously since study inception for cardiovascular events, hospitalizations, and deaths. In addition, detailed phenotypic information was collected at in-person clinic visits and through regular phone calls. ARIC-NCS began in 2010, and is focused on identifying risk factors for dementia, frailty and resilience in late-life.
For the ARIC-NCS project, the Senior Data Analyst will be responsible for conducting statistical research and developing research articles on (1) midlife risk factors for later-life dementia, frailty and resilience; and (2) late-life risk factors for dementia, frailty and resilience. All work will be collaborative with project leadership.
Your primary focus will be to conduct the research described above in concert with project leaders and to develop co-authored peer-reviewed research articles describing that research. In the first year of appointment, 30% of your effort will be on ARIC-NCS and 70% will be on 1940-HRS. Project leaders John Robert Warren (1940-HRS) and Pamela Lutsey (ARIC-NCS) will be your supervisors.
About the Department
The Minnesota Population Center ( pop.umn.edu ) is a University-wide interdisciplinary cooperative for demographic research. MPC supports innovative research in population dynamics at the University of Minnesota and around the world by fostering connections among population researchers across disciplines, developing leading-edge collaborative research projects, providing technical and administrative support for demographic research, and training the next generation of interdisciplinary population researchers. MPC serves 95 faculty members and research scientists from ten colleges and 26 departments at the University of Minnesota. As a leading developer and disseminator of demographic data, we also serve a broader audience of over 100,000 researchers worldwide. MPC is part of the Institute for Social Research and Data
Innovation ( isrdi.umn.edu ), which includes the IPUMS projects ( ipums.org ), the Life Course Center ( lcc.umn.edu ), and the Minnesota Research Data Center ( mnrdc.umn.edu ).
Diversity, equity, and inclusion are core values of our organization. We aspire to create a team that represents the diversity of our city, our region, and our world, and to create a space that encourages and embraces inclusiveness, equal opportunity, and respect. We strongly encourage women and members of under-represented groups to apply.
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
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To request an accommodation during the application process, please e-mail email@example.com or call (612) 624-UOHR (8647).
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.
Background Check Information
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
About the U of M
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.