Research Fellow/Assistant/Associate (Pre- and Post- Doctoral) in Computational Epidemiology & Respiratory Disease Surveillance

Research Group Description:
The Computational Epidemiology Lab's goal is to show how emerging technologies can help clarify patterns of disease and promote public health. In the past, our mission has materialized in a diverse set of projects that include describing the emergence of West Nile virus in New York City using satellite data, predicting patterns of Lyme disease based on climate change, analyzing patterns of influenza epidemics, finding new ways to identify problem medications using electronic medical records, understanding the geographic patterns of substance abuse, describing the impact of pollution on chronic disease, and most recently modeling the COVID-19 epidemic. Our research agenda aims to have translational impact on the control and prevention of disease through better epidemiologic understanding of factors influencing disease risk, improved practice of public health and engaging the public around important health issues.

Position:
We are seeking a Research Fellow/Assistant/Associate at the Pre- or Post- doctoral level to join our team. Scope of work will include supporting COVID-19 grant funding projects as well as ad-hoc infectious disease analytic projects. More experienced candidates will be encouraged to engage in independent research projects within the scope of the lab's mission and funding. US-based remote work and flexible hours (including full-time positions) are possible. We can only consider US-based candidates at this time.

The candidate's background should include experience in some/all of the following skills:
• Dissemination of research findings through scientific publication
• Wrangling of large and complex datasets with mismatched spatial and temporal resolutions
• Expertise programming in R and/or Python
• Transforming novel data streams for use in public health research

The candidate will be based in the Computational Epidemiology Lab of Boston Children's Hospital and will work closely with an interdisciplinary group of researchers, physicians and public health practitioners. The candidate will work on a variety of projects that employ infectious disease epidemiology methods and statistical modeling of disease dynamics. Examples of projects:
• Analyzing syndromic surveillance surveys and data to inform regional, national and international pandemic response efforts
• Calculation of infectious disease parameters (herd immunity thresholds, reproductive number, etc.)

Experience in any of the above and academic training in any subject that places strong emphasis on understanding how systematic error biases research findings (e.g., epidemiology, ecology) is desired.

To apply:
Please email your CV, a short statement of interest/availability and the contact information of two references (no letters required at this time) to: marinanicole.miller@childrens.harvard.edu.

Boston Children's Hospital is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.

Type
Postdoc
Institution
The Computational Epidemiology Lab, Boston Children's Hospital
City
Boston, MA
Country
United States
Closing date
May 15th, 2021
Posted on
April 15th, 2021 16:57
Last updated
April 15th, 2021 16:57
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