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Epidemiology, Data Science, Statistics and Bioinformatics Faculty

Boston University School of Medicine


Location:
Boston, Massachusetts 02118
Date:
03/05/2018
2018-03-052018-05-04
Work Type:
Employee
Job Status:
Full Time
Shift:
1st Shift
Specialties:
  • Cardiovascular Disease
  • Public Health/Preventive Med
  • Other Specialty
Boston University School of Medicine
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Job Details

Epidemiology, Data Science, Statistics and Bioinformatics faculty sought at the Assistant, Associate or full Professor levels at the Center for Integrative Transdisciplinary Epidemiology (CITE) at the Boston University School of Medicine (BUSM).

The CITE is being established as a flagship institute within BUSM with the mission of establishing an interdisciplinary, integrated research program that combines epidemiology, public health, population science, cohort studies, clinical medicine and data science. The CITE has strong institutional support and will offer opportunities for immersive, collaborative methodological research using existing data resources within the Framingham Heart Study, the Cross cohort Consortium, Boston Medical Center, and other large national databases.

We are seeking visionary, dynamic scientists with methodological expertise in the following domains: transomics integrative molecular epidemiology, lifecourse epidemiology, and digital epidemiology (including big data science, electronic health records, mHealth and geospatial research). Scientists with a strong mathematical/ statistical or computing/ engineering background, experience in developing, modifying and implementing novel integrative methodologies in one or more of the following areas including but not limited to risk factor identification, risk prediction, survival and mediation analyses; clinical trials design and secondary data analysis in available datasets; genetic and genomic analyses to identify and rare variants in large cohorts or individual patients, epigenetics, omics (including metabolomics, proteomics, microbiome), characterizing the exposome, and geospatial approaches. Persons with experience and knowledge in applying machine learning, deep learning techniques, artificial intelligence (AI) to large human datasets are encouraged to apply. Experience with annotation and analysis of whole genome sequence data including exploration variation, and expertise in applying systems biology and network medicine approaches are welcome to apply.

The position will be in the CITE with an academic appointment within the Section of Preventive Medicine and Epidemiology, Department of Medicine, BUSM. For suitable candidates additional secondary appointments may be feasible in the relevant parent departments and in the School of Public Health. Salary and benefits will be competitive and commensurate with education, experience and publication and research funding track record.

For full consideration, please submit: 1) a cover letter stating career goals and the candidate’s training and experience to the position; 2) a current CV; 3) a personal statement describing the candidate’s research experience; and 4) names and contact information of three references, to Mr. Michael Galatis, mgalatis@bu.edu

Boston University is an Equal Employment Opportunity/Affirmative Action Employer including protected veterans and those with disabilities.

 

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