Faculty ['Instructor', 'Associate Professor', 'Full Professor'] Tenured Phd

Position & institution

What is the name of your institution?
Winona State University
Which department or unit is hiring?
Quantitative Health Sciences
Which U.S. state is the position located in?
Pennsylvania
What category of position is this?
Faculty
What rank is the faculty position? Select all that apply — choose more than one for an open-rank search.
Instructor, Associate Professor, Full Professor
What is the tenure status of this position?
Tenured
Will tenure be housed in this department, or is it a joint/shared appointment?
Joint Appointment
List the departments sharing this appointment.
Quantitative & Computational Biology, Health Data Science, Statistics
How would you like to present compensation?
Not Disclosed
Summarize benefits offered (health, retirement, relocation, etc.).
Competitive benefits including retirement contributions, wellness programs, and a startup package for lab setup.
Which application materials are required?
Publications Sample, Cv, Transcripts, Research Statement
How many references / recommendation letters are required?
0
Who is the search committee chair or primary contact?
Prof. Samuel Andersson
What is the contact email for inquiries?
fatima.patel@institute.edu
What is the application deadline?
2026-10-12
Will applications be reviewed on a rolling basis?
No
What is the expected start date?
2027-05-10
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?
Clinical Trial Design
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.
0
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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