Reporting to the Assistant Director of Programs and Operations (ADPO),  the Program Assistant will provide administrative support to the Harvard Data Science Initiative (HDSI), including the Harvard Data Science Review (HDSR), and to Professor Francesca Dominici in her roles of faculty co-director of the Harvard Data Science Initiative and Professor of Biostatistics.

Specific responsibilities will include but not be limited to:

  • Schedule meetings for the HDSI co-Directors, HDSR Editor-in-Chief, and the HDSI Executive Director.
  • Assist HDSI co-Directors, HDSR Editor-in-Chief, and the HDSI Executive Director in managing communications including word processing letters, memos and reports, and answering the phone.
  • Assist the ADPO in compiling the budget and quarterly financial reports.
  • Order food and manage logistics in preparation for HDSI meetings, including room booking and zoom set up.
  • Handle travel and expense reports for the HDSI and HDSR.
  • Provide general support to the office including but not limited to ordering supplies, coordinating building maintenance requests, and distributing mail.
  • Assist with HDSR and HDSI events as needed.
  • Occasional data entry using Salesforce.
  • Manage Professor Dominici’s calendar and schedule meetings, including for her research lab.
  • Process Professor Dominici’s corporate card reimbursements; submitting all travel reimbursements; and ensuring payment requests are submitted in proper format and in a timely manner
  • Create and maintain filing system(s) for Professor Dominici, both electronic and paper, as needed
  • Book and facilitate travel arrangements for Professor Dominici.
  • Maintain Professor Dominici web page, curriculum vitae, and PMCID.
  • Provide general administrative support to Professor Dominici including but not limited to room scheduling, catering, IT requests, and supply ordering.
  • Other duties and special projects as required.



The Department of Biostatistics is a very busy and diverse department focused on research and teaching. Our 70+ faculty are leaders in the development of statistical methods for clinical trials and observational studies, studies on the environment, computational biology, and genomics/genetics. We offer degree programs in biostatistics, computational biology and data science; currently, more than 180 students are enrolled in these programs.

We are seeking a Senior Programmer to join our dynamic team. Duties and responsibilities include, but are not limited to, the following:

  • Develop and deploy data cleaning, data management, variable creation, and variable naming protocols of projects involving electronic health records, administrative claims, environmental exposure data, and other complex databases
  • Create and maintain databases using R and potentially SAS in collaboration with members of the research team
  • Create and link customized databases and analytic datasets in UNIX environments
  • Lead the development, maintenance, and documentation of software in R and potentially SAS (including R functions and SAS macros for data management and analysis support), SQL, and occasionally Python
  • Function as a resource for researchers, post-docs and other trainees to help debug programs and to access correct data
  • Identify inefficiencies in the programming and data management infrastructure and advise the Principal Investigator on potential solutions and alternatives
  • Obtain approval to access and work with data from Center for Medicare and Medicaid Services
  • Work on computing cluster and work with cluster computing IT to troubleshoot any issues
  • May assist the PIs and Program Coordinator with development of data management standard operating procedures and policies
  • Perform other duties as assigned



Our team invites applications for a Biostatistician position in the National Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Senior Research Scientist, Dr. Danielle Braun, in Biostatistics and Principal Research Scientist, Dr. Antonella Zanobetti in Environmental Health. The research focus will be on the development and implementation of statistical and machine learning methods to estimate causal effects of environmental exposures on health in the presence of high dimensional data, multiple exposures, strong confounding, and complex, non-linear relationships. The team has access to many rich datasets in these areas, including high-resolution air pollution data and health data from Medicare, Medicaid, and private insurance companies, to which these methods will be applied in order to answer high impact scientific questions.

Position Description

The Biostatistician will work under nominal direction to perform a variety of research and quantitative statistical analysis tasks independently, and in support of the lab’s research programs. The ideal candidate has experience supporting complex scientific research programs involving multiple studies, grants, and collaborators.

Duties and responsibilities include, but are not limited to, the following:

  • Conduct statistical analysis; apply statistical methods to answer a broad range of environmental health questions, write and lead manuscripts
  • Assist lab members in conducting specific research projects including but not limited to processing and curating data, conducting statistical analysis, literature review, and revising and editing manuscripts to respond to reviewer comments
  • Develop early-stage statistical research projects and assist in developing projects in collaboration with potential students and other collaborators
  • Develop statistical methods and software
  • Explore funding ideas and identify specific research gaps that funding proposals could address, and help support grant submissions
  • Lead individual and collaborative data analysis projects and conduct preliminary data analysis for funding proposals
  • Serve as principal liaison to disseminate the group’s findings on specific research projects
  • Organize and schedule research meetings
  • Manage scientific research activities, including detailed to do lists, action items between the lab and funded collaborations with other labs (internal to Harvard and external)
  • Perform other duties as assigned

Please attach the following when applying: 1) Resume, 2) Cover letter, 3) Transcript (unofficial or official, and if applicable), and 4) Sample code (solely created by the applicant).



The Department of Environmental Health together with the Biostatistics Department at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for the analysis of large-scale environmental health data. The Postdoctoral Fellow will work with a multi-disciplinary team to investigate the impact of air pollution and other exposures on risk for and progression of Parkinson’s disease, and identify the complex interactions of individual-level, environmental and societal factors that lead to increased vulnerability in Parkinson’s disease.


  • Doctoral degree in Biostatistics, Applied Statistics, Environmental Health, or related field.
  • Experience in analyzing real data, air pollution health studies, public health, strong programming skills, and strong statistical methods are preferred.
  • Excellent communication and writing skills desired.
  • The ideal candidate is an independent, solution-oriented thinker with a strong background in statistical methods and processing very large data sets, applying analytical rigor and driving toward actionable insights and novel solutions.

Duties & Responsibilities:

  • Data integration from different data sourcesAnalyzing environmental health effects in big data
  • Refine and improve statistical methods to disentangle the effects of air pollution exposure from other confounding factors by leveraging approaches for causal inference and correct for potential outcome misclassification and exposure error
  • Apply machine learning methods to identify co-occurrence of individual-level, environmental, and societal factors that lead to increased vulnerability
  • Collaborate with our biostatistics and data science group
  • Writing scientific articles and research proposals
  • Participate in weekly meetings with supervisors, reporting on work performed and suggesting additional analysis or modifications in current procedures
  • Oversee the activities and mentor other research staff / students.


Please contact us on nsaph.harvard@gmail.com for more information.