Title Research Scientist
School Harvard T.H. Chan School of Public Health
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
· 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
· Familiarity with multiple data science tools and ability to learn new tools
· Experience with version control systems, in particular Git and GitHub.
Contact Email email@example.com
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
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