Flathead Valley Community College

Research Staff Phd

Position & institution

What is the name of your institution?: Flathead Valley Community College
Which department or unit is hiring?: Health Data Science
Which U.S. state is the position located in?: Washington
What category of position is this?: Research Staff
What is the official job title?: Senior Biostatistician
How would you like to present compensation?: Fixed Salary
What is the fixed annual salary?: $80,000
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?: Research Statement, Publications Sample, Cv, Diversity Statement, Teaching Statement
How many references / recommendation letters are required?: 1
When should reference letters be submitted?: Shortlist Only
Who is the search committee chair or primary contact?: Prof. Aisha Kim
What is the contact email for inquiries?: aisha.patel@college.edu
What is the application deadline?: 2026-09-23
Will applications be reviewed on a rolling basis?: Yes
What is the expected start date?: 2027-04-27
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.

What is the field or area of specialization sought?: Bayesian Hierarchical Modeling
What is the minimum required degree?: Phd
Must the degree be completed by the start date?: No
What is the expected teaching load (courses per year)? Enter 0 if none.: 1
Briefly describe teaching responsibilities and any specific courses.: Contribute to the statistical theory and inference core and develop an elective in your area (Bayesian methods, causal inference, etc.).
Describe research expectations (e.g., external funding, lab, publications).: Lead the statistical design and analysis of collaborative clinical and translational studies while building an independent methods program.

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