Nashua Community College
Quantitative Health Sciences · Hawaii
Research Staff
Other
Position & institution
- What is the name of your institution?
- Nashua Community College
- Which department or unit is hiring?
- Quantitative Health Sciences
- Which U.S. state is the position located in?
- Hawaii
- What category of position is this?
- Research Staff
- What is the official job title?
- Senior Biostatistician
- How would you like to present compensation?
- Not Disclosed
- 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, Transcripts, Cv, Cover Letter, Publications Sample
- How many references / recommendation letters are required?
- 0
- Who is the search committee chair or primary contact?
- Prof. Thomas Rossi
- What is the contact email for inquiries?
- wei.cohen@institute.edu
- What is the application deadline?
- 2026-09-23
- Will applications be reviewed on a rolling basis?
- No
- What is the expected start date?
- 2027-03-10
- Include your institution's standard EEO/diversity statement?
- No
- Provide the equal-opportunity statement you'd like to display.
- We are an equal opportunity employer and welcome applications from all qualified individuals regardless of background.
Candidate requirements
- What is the field or area of specialization sought?
- Longitudinal Data Analysis
- What is the minimum required degree?
- Other
- Must the degree be completed by the start date?
- No
- What is the expected teaching load (courses per year)? Enter 0 if none.
- 2
- 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.
Discussion
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