College of Alameda

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Research Staff Masters

Position & institution

What is the name of your institution?: College of Alameda
Which department or unit is hiring?: Quantitative Health Sciences
Which U.S. state is the position located in?: Utah
What category of position is this?: Research Staff
What is the official job title?: Statistical Programmer
How would you like to present compensation?: Salary Range
What is the minimum of the salary range (annual)?: $103,000
What is the maximum of the salary range (annual)?: $148,000
Summarize benefits offered (health, retirement, relocation, etc.).: Comprehensive health, dental, and vision coverage; 403(b) retirement match; relocation assistance and subsidized campus housing.
Which application materials are required?: Teaching Statement, Transcripts, Cover Letter, Diversity Statement, Publications Sample
How many references / recommendation letters are required?: 4
When should reference letters be submitted?: Upon Request
Who is the search committee chair or primary contact?: Prof. Daniel Okafor
What is the contact email for inquiries?: ngozi.tanaka@institute.edu
What is the application deadline?: 2026-09-26
Will applications be reviewed on a rolling basis?: Yes
What is the expected start date?: 2026-12-30
Include your institution's standard EEO/diversity statement?: No
Provide the equal-opportunity statement you'd like to display.: Our institution is committed to building a diverse community and encourages applications from candidates of all backgrounds.

Candidate requirements

What is the field or area of specialization sought?: Statistical Computing
What is the minimum required degree?: Masters
Must the degree be completed by the start date?: No
What is the expected teaching load (courses per year)? Enter 0 if none.: 3
Briefly describe teaching responsibilities and any specific courses.: Lead an applied data analysis course and supervise consulting practica for health-sciences collaborators.
Describe research expectations (e.g., external funding, lab, publications).: Develop novel statistical methodology, publish in venues such as JASA, Biometrics, or Biostatistics, and pursue NIH/NSF funding.

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