Emerson College
Health Data Science · Washington
Faculty
['Lecturer', 'Assistant Professor', 'Instructor', 'Associate Professor', 'Full Professor']
Non Tenure Track
Phd
Position & institution
- What is the name of your institution?
- Emerson College
- Which department or unit is hiring?
- Health Data Science
- Which U.S. state is the position located in?
- Washington
- 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, Instructor, Associate Professor, Full Professor
- 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?
- Yes
- How would you like to present compensation?
- Salary Range
- What is the minimum of the salary range (annual)?
- $90,000
- What is the maximum of the salary range (annual)?
- $103,000
- 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
- How many references / recommendation letters are required?
- 3
- When should reference letters be submitted?
- Shortlist Only
- Who is the search committee chair or primary contact?
- Prof. Wei Patel
- What is the contact email for inquiries?
- samuel.andersson@university.edu
- What is the application deadline?
- 2026-10-15
- Will applications be reviewed on a rolling basis?
- No
- What is the expected start date?
- 2027-06-10
- Include your institution's standard EEO/diversity statement?
- Yes
Candidate requirements
- What is the field or area of specialization sought?
- Statistical Computing
- 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.
- 2
- 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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