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Professor Statistical Genetics Tenure Jobs (NOW HIRING)

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Professor Statistical Genetics Tenure information

What is the difference between Professor Statistical Genetics Tenure vs Professor Biostatistics Tenure?

AspectProfessor Statistical Genetics TenureProfessor Biostatistics Tenure
Required CredentialsPhD in Statistical Genetics, Genetics, or related fieldPhD in Biostatistics, Statistics, or related field
Work EnvironmentAcademic research, teaching, genetics labsAcademic research, teaching, health sciences
Employer & Industry UsageUniversities, research institutes focusing on geneticsUniversities, health research institutes
Common Search & ComparisonYesYes

While both roles involve academic research and teaching, Professor Statistical Genetics Tenure specializes in genetics-focused statistical methods, whereas Professor Biostatistics Tenure covers broader health-related statistical applications. The choice depends on your research focus and industry interests.

Infographic showing various Professor Statistical Genetics Tenure job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Operations Research and Statistics Tenure-Track Assistant Professor

Operations Research and Statistics Tenure-Track Assistant Professor

Massachusetts Institute of Technology

Cambridge, MA • On-site

$225K - $254K/yr

Full-time

Posted yesterday


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Job description

Description
The Massachusetts Institute of Technology (MIT) Sloan School of Management at 77 Massachusetts Avenue, Cambridge, MA invites applications for a Tenure-Track Assistant Professor position in Operations Research and Statistics (OR/Stat) beginning July 1, 2026, or as soon thereafter as possible. Strong applicants will demonstrate the potential for research and teaching excellence in any of the sub-fields of Operations Research and Statistics, including Data Science, Optimization, Statistics, Analytics (including applied Machine Learning and AI), and/or Operations Research broadly construed. We are especially interested in candidates who can build a strong methodological research base, contribute to application areas of high impact, and successfully teach in our undergraduate, MBA, MBAnalytics, and/or PhD programs. Duties will include teaching undergraduate and/or graduate level courses in Operations Research, Statistics, and Data Science, and conducting original scholarly research in Operations Research, Statistics, Data Science, or related fields. The MIT Sloan School of Management offers supportive mentorship to new faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture.
The pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $225,000 - $254,000. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. These factors impact where an individual's pay falls within a range. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
Qualifications
Applicants should possess a PhD in Operations Research, Statistics, Industrial Engineering, Computer Science, or a related relevant field by the start of employment.
Application Instructions
Applications must include an up-to-date curriculum vitae, three letters of recommendation, a personal statement describing research experience and aspirations, and a personal statement describing teaching aspirations and any teaching experience.
Applications should be submitted in full by November 10, 2025.
Applicants are encouraged to initiate the submission of their materials by October 16, 2025 (10 days prior to the INFORMS Annual Meeting) in order to facilitate the potential for discussions at the meeting.

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