Job Listing
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| Job ID: 14059432 |
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| Job Location: |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | MIDB Data Scientist |
| Work Type: | Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Bachelor's Degree |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see the job description for information about required job skills. |
| Preferred Skills: |
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| Job Description: |
Job ID361047
LocationTwin Cities
Job FamilyResearch-Researchers
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9742R6
Employee ClassAcad Prof and Admin
About the Job
The Masonic Institute for the Developing Brain (MIDB) is dedicated to fostering the healthy brain function of children across the lifespan with the mission to set and maintain a healthy trajectory for all children toward positive life outcomes through early neurobehavioral and mental health assessment, innovative targeted interventions, informed policy-making, compassionate child-advocacy, and community education. The MIDB's mission of basic and clinical research in the field of neurobehavioral development is supported by a multi-specialty clinic and multiple research hubs including: Analytics, Informatics, Neuroimaging, Center for Neurobehavioral Development, Translational Neuroscience, Novel Intervention, TeleOutreach, and Community Engagement and Education. Also housed in the MIDB is the Center for Developmental Neuroimaging (CDNI), a collective of investigators using neuroimaging techniques to advance the understanding of brain development in health and disease.
The MIDB is seeking to hire a Research Associate in a shared role between the Analytics Hub and the CDNI to assist with data management and analysis for MIDB research projects. A successful candidate will have knowledge of a wide variety of advanced statistical and computational techniques, excellent organizational and problem-solving skills, and be comfortable learning new technologies and consulting with research teams.
Essential Functions
Research Project and Hub Support (40%)
- Serve as a leader and resource for statistical methods and data analysis software and packages
- Provide the appropriate analytic recommendations for projects that are highly variable and potentially complex
- Provide expertise to guide the selection of the appropriate design, computing tools, and methods for a variety of research areas, including new and complex studies
- Interface with research teams, including clear communication of the analytic options available to a research team who may not have experience in such designs or methods
- Forecast workflow and time demands to maintain adequate funding
- Consult on grant submissions, taking ownership of sections pertaining to the analytic design and methods of the project
- Participate in discussions with supervisors and leadership concerning strategies for obtaining new research funds and projects for the Analytics Hub
- Contribute thoughtful discussions and suggestions related to research and research support, assisting in the design and improvement of research procedures and continually refining research practices so they are successful and optimal
Neuroimaging Data Analysis (40%)
- Contribute to studies linking high-dimensional data from non-invasive brain imaging (fMRI, MRI) to mental health and cognitive outcomes in large, publicly available datasets (e.g., Adolescent Brain Cognitive Development Study: ABCD, Human Connectome Project: HCP, UK Biobank)
- Apply regularized regression, machine learning, and psychometric approaches towards the assessment of individual differences in neuroimaging
- Support the use of these techniques in projects led by faculty and students
Documentation and Dissemination (15%)
- Active participation in and co-authorship of manuscripts will be
- Presentations of results (both written and oral) to diverse teams of researchers and non-researchers
- Other duties as assigned
Qualifications
Required Qualifications
* Advanced degree or experience in biostatistics, statistics, data science or other fields with equivalent quantitative training with substantial research and publication record
* Experience in advanced statistical methodology development or Applied Research in Neuroimaging or Genomics field
* Knowledge of statistical and scientific research design
* Proficiency in programming in R
* Excellent communication and interpersonal skills
Preferred Qualifications:
* Demonstrated experience in working with consulting or interacting with clients
* Record of acting independently and taking initiative
* Experience of leading statistician on research projects
* Familiarity with MatLab and Python
About the Department
The Masonic Institute for the Developing Brain (MIDB) is dedicated to fostering the healthy brain function of children across the lifespan with the mission to set and maintain a healthy trajectory for all children toward positive life outcomes through early neurobehavioral and mental health assessment, innovative targeted interventions, informed policy-making, compassionate child-advocacy, and community education. The MIDB's mission of basic and clinical research in the field of neurobehavioral development is supported by a multi-specialty clinic and multiple research hubs including: Analytics, Informatics, Neuroimaging, Center for Neurobehavioral Development, Translational Neuroscience, Novel Intervention, TeleOutreach, and Community Engagement and Education. Also housed in the MIDB is the Center for Developmental Neuroimaging (CDNI), a collective of investigators using neuroimaging techniques to advance the understanding of brain development in health and disease.
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF)
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
with free or reduced rates in the Twin Cities metro area
Please visit the for more information regarding benefits.
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 have the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
This position will remain open until filled.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
Diversity
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... For full info follow application link.
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.
Refer to ID 79295346 when applying |
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