Position Summary:
The ARIC Data Analyst will collaborate with the research team on analyses of data from the Atherosclerosis Risk in Communities (ARIC) study ( https://sites.cscc.unc.edu/aric/ ). ARIC is a
large-scale prospective epidemiologic cohort which is evaluating associations of mid-life risk factors to risk of cardiovascular disease and dementia. Primary roles include to manage the data, create statistical analysis plans, and to create both data table shells and formal data reports. This position will also collaborate on reports, conference papers, and publications.

Work Schedule: Hybrid, M-F, 7:30am - 4pm

Duties/Responsibilities:

• 70%: Create, evaluate and implement statistical analysis plans, with an emphasis on rigorous epidemiologic methods intended to mitigate bias. Including creating data table shells and formal reports.
• 10%: Serve as a liaison to trainees using the data, providing guidance and insights regarding data availability and 'best practices'.
• 10%: Collaborate on reports, conference papers and publications. Including first-authoring papers as time warrants.
• 5%: Prepare manuscripts for publication and work with journal editors/reviewers for publication.
• 5%: Establish and maintain effective working relationships within the research team, and more broadly the Department of Neurology, Epidemiology and Community Health. Other duties as assigned.

Qualifications

Required Qualifications:

• BA/BS in epidemiology, biostatistics or affiliated field plus two years of experience, or a combination of education and relevant work experience to equal at least six years of experience.
• Demonstrated proficiency with analytical software, in particular SAS.
• Experience with literature review techniques.
• Comfortable working independently, with experience working with multiple teams.
• Strong communication skills, both written and spoken.
• Ability to read, write, speak and understand English.

Preferred Qualifications:

• Master's Degree in epidemiology, biostatistics or affiliated field.
• Coursework in statistics, data analysis, research methods.
• Documented interest in the content areas of dementia, aging and/or cardiovascular disease.
• Experience conducting data analysis, with multivariable regression models (e.g., Cox regression.)
• Ability to prioritize tasks, meet deadlines, and work on multiple tasks concurrently.

About the Department

To learn more about the Department of Neurology, please visit https://med.umn.edu/neurology .

Pay and Benefits

Pay Range: $36.05/hr - $43.27/hr; depending on education/qualifications/experience.

Time Appointment: 100% Appointment

Position Type: Civil-Service & Non-Faculty Labor Represented Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University 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 Regents Tuition Benefit Program
• 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) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the time, the initial pay may not reach the maximum of the range. This approach ensures that compensation reflects the value and unique contributions of each candidate while maintaining equity within our organization. As part of our commitment to fair and equitable compensation, please be aware that the salary offered to incoming candidates will be based on their individual credentials and experience.

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.

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.

To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-8647.