ARIC Data Analyst

About the Job

Position Summary:

The ARIC Data Analyst will collaborate with the research team on analyses of data from the Atherosclerosis Risk in Communities (ARIC) study ((Use the "Apply for this Job" box below).). 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 managing the data, creating statistical analysis plans, and creating 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

• 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.

All required qualifications must be included in the application materials

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.

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

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.

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.

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.

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.