Duke University, Department of Mathematics

Position ID: Duke-RYSER [#13328]
Position Title: Postdoctoral Associate in Modeling of Breast Cancer Natural History and Clinical Outcomes
Position Type: Postdoctoral
Position Location: Durham, North Carolina 27708, United States [map]
Subject Area: Mathematics
Application Deadline: 2019/02/01 finished (2018/12/07, finished 2019/08/04, listed until 2019/02/01)
Position Description:    

*** this position has been closed, and no new applications will be accepted. ***

* this map is a best-effort approximation. Open in Google Maps directly.

Applications are invited for a Postdoctoral Associate position in the Department of Mathematics. Candidates should have completed a doctorate in mathematics, statistics or biostatistics as of February 1, 2019, and show definite promise in conducting interdisciplinary research. Teaching will not be required, but will potentially be available if desired. The appointment is for two years, beginning on February 1, 2019, or later, and may be renewed for a third year.

The position will be funded by Marc Ryser, PhD (marc.ryser@duke.edu), who holds a joint appointment between the Departments of Mathematics and Population Health Sciences (School of Medicine). The Ryser laboratory consists of a cross-disciplinary team that works at the interface of cancer biology, clinical research and population health sciences, all tied together by multi-scale modeling approaches. For more info, see https://ryser.netlify.com. The overall goal of the position is to develop and analyze data-driven mathematical and statistical models of breast cancer natural history and clinical outcomes. Multiple data sources will be available for the modeling activities.

The ideal candidate has a strong modeling background in (bio)statistics and/or applied probability, and has expertise in a subset of the following areas: stochastic processes; hidden Markov Models; Bayesian inference; evidence synthesis; survival analysis; and competing risk analysis. Also required are good programming skills, familiarity with real-life data analysis (using R or similar) and a solid working knowledge in cancer biology and/or clinical research. The position requires excellent (written and verbal) communication skills and the ability to work collaboratively in an interdisciplinary environment at the interface of quantitative science and medicine.

Applicants are asked to submit the following documents through mathjobs.org:

- Cover letter - Publication list - Curriculum vitae - Research statement (no more than 5 pages) - At least four letters of recommendation. These letters should be uploaded, by their authors, at mathjobs.org, or sent by mail to the Duke University Department of Mathematics. - For candidates seeking to teach: teaching statement (no more than 2 pages); at least one reference letter should comment on the candidate’s teaching performance.

The posting closes on February 1, 2019, and applications will be reviewed on a continuing basis starting January 10, 2019. Questions about the job posting should be addressed to Marc Ryser (marc.ryser@duke.edu).

Duke is committed to encouraging and sustaining work and learning environments that are free from harrassment and prohibited discrimination. Duke prohibits discrimination and harrassment in the administration of both its employment and educational policies. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender expression, gender identity, national origin, race, religion, sex, sexual orientation, or veteran status. Duke also makes good faith efforts to recruit, hire, and promote qualified women, minorities, individuals with disabilities, and veterans.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
www.math.duke.edu
919-660-2800
 
117 Physics Building
120 Science Drive
Box 90320
Durham, NC 27708

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