Research Scientist

Radcliffe College

United States

October 15, 2021

Description

Position Title Research Scientist

School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description

The Department of Biostatistics in the Harvard T. H. Chan School of Public Health has an immediate opening for a Research Scientist/Senior Research Scientist. The candidate will play an active role in several projects in environmental statistics and epidemiology with a focus in the management, integration, methods development, and analysis of large and complex data sets.

This is an attractive position for someone that has interest in: 1) managing complex and large datasets of health claims data and environmental exposures that vary in time and space; 2) developing algorithms to link millions of individual-level health data longitudinally (e.g. Medicare Billing Claims); 3) developing methods (e.g. machine learning) to integrate datasets on health information with datasets on environmental exposures; and 4) developing and applying statistical methods (e.g. Bayesian statistics and causal inference) to analyze the data and interpret results.

The position will require active collaboration with teams of researchers. Our team of data scientists, statisticians and epidemiologists conducts research on a broad range of issues, including air pollution, and climate change (see https: // www. hsph.harvard.edu/nsaph/ for more details on the group and research). The successful candidate will take an active role in the leadership of several ongoing projects. They will lead and manage the data pipelines, as well as instruct and mentor undergraduate, masters students, PhD students and postdoctoral fellows in the statistical analyses of spatio- temporal data and lead and contribute to grant proposals

Basic Qualifications

· PhD in Biostatistics, Statistics or Computer Science or related field.

· Experience in handling very large datasets.

· Experience in processing and managing health claims data.

· Knowledge of R, SAS, and Python.

· Interest in open-source software, reproducibility and data management

Additional Qualifications

· Familiarity with multiple data science tools and ability to learn new tools as required.

· Experience with version control systems, in particular Git and GitHub.

Special Instructions Contact Information

Susan Luvisi

Contact Email biostatpostdoc@hsph.harvard.edu Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required 2 Maximum Number of References Allowed 4

Supplemental Questions

Required fields are indicated with an asterisk ().

Applicant Documents

Required Documents

  • Curriculum Vitae
  • Cover Letter
  • Optional Documents

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