Hampden-Sydney College

Research Staff Other

Position & institution

What is the name of your institution?: Hampden-Sydney College
Which department or unit is hiring?: Health Data Science
Which U.S. state is the position located in?: South Dakota
What category of position is this?: Research Staff
What is the official job title?: Statistical Analyst
How would you like to present compensation?: Salary Range
What is the minimum of the salary range (annual)?: $66,000
What is the maximum of the salary range (annual)?: $90,000
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, Diversity Statement, Transcripts
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 Rossi
What is the contact email for inquiries?: rosa.novak@college.edu
What is the application deadline?: 2026-09-22
Will applications be reviewed on a rolling basis?: No
What is the expected start date?: 2027-06-21
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.

What is the field or area of specialization sought?: Missing Data Methods
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.: 3
Briefly describe teaching responsibilities and any specific courses.: Teach the graduate biostatistics methods sequence (e.g. linear models, survival analysis) and advise MS/PhD students.
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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