Mary Washington College

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Faculty ['Lecturer', 'Assistant Professor', 'Associate Professor', 'Instructor'] Non Tenure Track Other

Position & institution

What is the name of your institution?: Mary Washington College
Which department or unit is hiring?: Statistics & Data Science
Which U.S. state is the position located in?: District Of Columbia
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.: Lecturer, Assistant Professor, Associate Professor, Instructor
What is the tenure status of this position?: Non Tenure Track
What is the contract length (in years)? Enter 0 if open-ended.: 3
Is the contract renewable?: Yes
How would you like to present compensation?: Salary Range
What is the minimum of the salary range (annual)?: $104,000
What is the maximum of the salary range (annual)?: $159,000
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?: Teaching Statement
How many references / recommendation letters are required?: 5
When should reference letters be submitted?: At Application
Who is the search committee chair or primary contact?: Prof. David Okafor
What is the contact email for inquiries?: ngozi.silva@institute.edu
What is the application deadline?: 2026-09-15
Will applications be reviewed on a rolling basis?: Yes
What is the expected start date?: 2027-01-11
Include your institution's standard EEO/diversity statement?: Yes

Candidate requirements

What is the field or area of specialization sought?: Genomic 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.: 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).: Develop novel statistical methodology, publish in venues such as JASA, Biometrics, or Biostatistics, and pursue NIH/NSF funding.

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