General Information: The Department of Biostatistics at the University of Michigan is seeking applicants for a Research Assistant Professor or Assistant Research Scientist or Research Investigator faculty positions. A particular focus of this search is on candidates who are interested in biostatistical research aligned with the Cancer Data Science (CDS) Shared Resource (https://sph.umich.edu/cds/) and Department of Radiology at University of Michigan.  CDS fosters active engagement and collaboration geared towards development and application of rigorous biostatistical methodologies to data emerging from cancer-focused studies across the spectrum of basic, clinical and population sciences research at the Rogel Cancer Center at University of Michigan. Specifically, the focus will be on developing and implementing quantitative methodologies for biological and clinical data that include, but not limited to, radiology-based and spatial imaging-based investigations. Candidates must have a strong research background with a doctoral degree in biostatistics, statistics, mathematics, the computational sciences or a related field. Candidates being considered for this position will be expected to develop an outstanding research program. Excellent candidates with other research focus will also be considered and are encouraged to apply. 

Underfill Statement: This position is posted as Research Assistant Professor/Assistant Research Scientist/Research Investigator. The rank of the selected candidate will depend upon the candidate’s qualifications. For more information regarding appointment criteria for these job titles, please visit https://research.umich.edu/appointments-promotions#9.

Department Information: The Department of Biostatistics has 45 primary faculty members and 295 full-time PhD and Master’s students.  The Department is involved in cutting edge methodological research and scientific investigation in many areas of public health and biomedical research. The Department has close ties with the Department of Statistics, the Institute for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, the University of Michigan Rogel Cancer Center, and other research groups across campus.  

The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 118,000 year-round residents, and approximately 53,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size. 

The University of Michigan is an affirmative action/equal opportunity employer. Applications from women and minorities are welcomed and strongly encouraged.

Application: We will review applications on a rolling basis.  Interested applicants should submit their application at  http://apply.interfolio.com/157251 . Applicants will be asked to upload:

• CV
• Statement of research interest
• Diversity Statement (resources for writing a diversity statement can be found here)  
• The names and contact information of three references
• Academic transcripts from graduate school (if a recent graduate).

Questions or Concerns: Interested candidates can contact the University of Michigan Department of Biostatistics at UM.Biostat.Recruitment@umich.edu or Veera Baladandayuthapani (veerab@umich.edu), Director of CDS.

About University of Michigan

The Department of Biostatistics at the University of Michigan School of Public Health is rated the top biostatistics program in the country by the National Academies. We bring biostatistical design and analysis expertise to a wide spectrum of health-related issues. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including image analysis, survival and event history analysis, statistical genetics and bioinformatics, clinical trials, Bayesian methods, statistical computing, longitudinal data analysis, methods for missing data, and survey research. Our graduates have great job opportunities in fields such as academics, government, industry (e.g. biotech, pharmaceuticals), and at medical research institutions.

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