State University of New York at Buffalo
Biostatistics & Medical Informatics · Vermont
Research Staff
Masters
Position & institution
- What is the name of your institution?
- State University of New York at Buffalo
- Which department or unit is hiring?
- Biostatistics & Medical Informatics
- Which U.S. state is the position located in?
- Vermont
- What category of position is this?
- Research Staff
- What is the official job title?
- Bioinformatics Scientist
- How would you like to present compensation?
- Not Disclosed
- Summarize benefits offered (health, retirement, relocation, etc.).
- Full medical/dental, generous parental leave, annual research/travel fund, and tuition remission for dependents.
- Which application materials are required?
- Transcripts, Publications Sample, Teaching Statement
- How many references / recommendation letters are required?
- 3
- When should reference letters be submitted?
- Upon Request
- Who is the search committee chair or primary contact?
- Prof. Priya Cohen
- What is the contact email for inquiries?
- wei.müller@institute.edu
- What is the application deadline?
- 2026-08-25
- Will applications be reviewed on a rolling basis?
- No
- What is the expected start date?
- 2027-03-02
- 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?
- Pharmacometrics
- What is the minimum required degree?
- Masters
- Must the degree be completed by the start date?
- No
- What is the expected teaching load (courses per year)? Enter 0 if none.
- 4
- 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.
Discussion
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