Research - Laboratory/Non-Laboratory, Staff/Administrative
A C.V. and a cover letter describing interest in position and relevant previous experience is required. Please also include 2 letters of recommendation (preferably with at least one from a research supervisor). A successful cover letter will help to outline the experiences and skills the applicant has in the above areas.
This research technician associate/data manager position is for the Michigan Neurogenetics and Developmental Psychopathology (MiND) lab, directed by Dr. Luke Hyde. The lab examines the development of youth risk and resilience from multiple levels of analysis (using fMRI, molecular genetics, longitudinal approaches, and in-home interviews with at-risk families). See: http://mindlab.psych.lsa.umich.edu/
The data manager will help to coordinate data collection, organization, and analysis on multiple projects in this laboratory with a focus on the MTwiNS Project. MTwiNS is a large scale research study funded by the National Institute of Mental Health (NIMH) and the Eunice Kennedy Shriver National Institute of Child Health and Development (NICHD) that examines neural responses to neighborhood disadvantage, the origins of that association, and its consequences for child and adolescent outcomes. MTwins is a longitudinal study of families with twins ages 10 – 18 living in impoverished neighborhoods. Families visit our lab for a full day visit including an MRI scan, psychiatric interview, family interaction tasks, biospecimen assay (e.g., saliva, blood), and survey measures.
Duties for this position will include organizing, processing, and analyzing data across multiple modalities including survey/self-report data, MRI data, nested twin data, video-coded data, and biospecimen data (e.g., DNA, RNA). Additional duties include organizing and managing data sharing with the NIH and coordinating data sharing and organization with our partners at Michigan State University. Much of the position will be focused on designing and implementing data pipelines to clean, organize, and analyze this data, as well as day to day management of incoming data. General responsibilities will include: monitoring data collection for the project; developing and maintaining the databases used to store the large amount of collected data; updating, merging, cleaning, and scoring study data on a regular basis; assisting with data extraction and compilation; analyzing study data for research paper and grant applications; training and supervising graduate and undergraduate research assistants on data management procedures; and consulting with project staff.
Start date is flexible depending on applicant availability, ideally in the Spring/Summer of 2019.
Responsibilities include, but are not limited to:
20% - managing incoming data including pre-processing MRI data, cleaning survey data, and weekly quality control of all incoming data
20% - designing MRI pipelines and doing initial MRI analysis across modalities (i.e., DTI, task-based and resting fMRI, structural MRI) and mentoring students/staff on these analyses
20% - designing and improving data organizing and structure, implementing data flows, and sharing data with collaborators and the NIH
30% - running analyses for publication on neuroimaging and/or behavioral data with an emphasis on advanced neuroimaging analytics across modalities (e.g., structural, DTI, resting, and task-based fMRI)
10% - project management and training of undergraduate students on data entry/organization
(Potential): A very successful applicant will have the opportunity to contribute to the writing of grants and empirical papers.
A successful applicant is likely to have many of the following skills:
High school diploma or associate degree
Minimum of one-year research experience
Proficiency with multiple regression techniques for a variety of dependent variable distributions (e.g., count variables, etc.) and proficiency with MRI data processing and analysis
Experience with computer programming, data analysis, and database administration in an academic research setting
Data programming skills
Familiarity with database management systems (e.g., RedCap, Qualtrics); experience using statistical packages (e.g., SPSS, SPM, Matlab, Mplus)
Must have the ability to work independently and collaboratively and possess excellent communication and writing skills
Bachelor’s degree or higher in a field related to Computer Science, Biostatistics, Statistics, Mathematics, Psychology, or Neuroscience
Previous experience with these data modalities or in a similar setting is preferred
Experience with MRI data and/or twin data is preferred
Applicants with more advanced degrees and experience (e.g.. M.S., PhD) will also be considered and will have additional opportunities/duties; pay will be commensurate with experience
Position is for one year and renewable depending on funding. However, note that the aim of the position is to be for 2 years or more years with funding available for at least the next 4 years.
Salary will be commensurate with education and experience.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future. The University of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas and information, not only in the classroom but in the workplace by:
Creating a work environment in which people treat each other with respect and dignity, regardless of roles, responsibilities or differences.
Providing support, direction and resources enabling us to accomplish the responsibilities of our jobs and to reach the goals that are set for professional and personal growth.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 170959
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