Urban College of Boston
Health Data Science · Nevada
Faculty
['Associate Professor']
Non Tenure Track
Phd
Position & institution
- What is the name of your institution?
- Urban College of Boston
- Which department or unit is hiring?
- Health Data Science
- Which U.S. state is the position located in?
- Nevada
- 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.
- Associate Professor
- What is the tenure status of this position?
- Non Tenure Track
- What is the contract length (in years)? Enter 0 if open-ended.
- 0
- Is the contract renewable?
- Yes
- 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?
- Teaching Statement, Research Statement, Transcripts, Cv, Publications Sample
- How many references / recommendation letters are required?
- 0
- Who is the search committee chair or primary contact?
- Prof. Maria Silva
- What is the contact email for inquiries?
- yuki.rossi@institute.edu
- What is the application deadline?
- 2026-10-25
- Will applications be reviewed on a rolling basis?
- Yes
- What is the expected start date?
- 2027-04-27
- Include your institution's standard EEO/diversity statement?
- Yes
Candidate requirements
- What is the field or area of specialization sought?
- Electronic Health Records Methods
- 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.
- 3
- Briefly describe teaching responsibilities and any specific courses.
- Contribute to the statistical theory and inference core and develop an elective in your area (Bayesian methods, causal inference, etc.).
- 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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