Fort Lewis College
Mathematics & Statistics · New York
Faculty
['Lecturer']
Non Tenure Track
Phd
Position & institution
- What is the name of your institution?
- Fort Lewis College
- Which department or unit is hiring?
- Mathematics & Statistics
- Which U.S. state is the position located in?
- New York
- 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
- What is the tenure status of this position?
- Non Tenure Track
- What is the contract length (in years)? Enter 0 if open-ended.
- 1
- Is the contract renewable?
- No
- 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?
- Diversity Statement, Transcripts, Cover Letter, Research Statement, Publications Sample, Teaching Statement, Cv
- How many references / recommendation letters are required?
- 5
- When should reference letters be submitted?
- Shortlist Only
- Who is the search committee chair or primary contact?
- Prof. Rosa Müller
- What is the contact email for inquiries?
- samuel.garcia@college.edu
- What is the application deadline?
- 2026-08-04
- Will applications be reviewed on a rolling basis?
- Yes
- What is the expected start date?
- 2027-01-06
- Include your institution's standard EEO/diversity statement?
- Yes
Candidate requirements
- What is the field or area of specialization sought?
- Mendelian Randomization
- What is the minimum required degree?
- Phd
- Must the degree be completed by the start date?
- Yes
- What is the expected teaching load (courses per year)? Enter 0 if none.
- 4
- Briefly describe teaching responsibilities and any specific courses.
- Lead an applied data analysis course and supervise consulting practica for health-sciences collaborators.
- 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.
Discussion
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