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Biostatistician I
Harvard University in Boston, Massachusetts
Date Posted 09/15/2021
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled


Harvard T.H. Chan School of Public Health


Job Summary

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.

Our team invites applications for a Biostatistician position in Dr. Francesca Dominici and Dr. Nethery’s Labs. The work will involve close collaboration with Dr. Dominici, co-Director of the Harvard Data Science Initiative and Clarence James Gamble Professor of Biostatistics, Population and Data Science (https://www.hsph.harvard.edu/francesca-dominici/), Dr. Nethery, Assistant Professor of Biostatistics, and PhD students, postdoctoral fellows and data scientists. Senior Research Scientist, Dr. Danielle Braun, will supervise the position. The team’s current research focus is 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.

Job-Specific Responsibilities

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 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 of SAS code (solely created by the applicant).

PLEASE NOTE: This position has a term appointment of one year from date of hire, with the possibility of extension.

PLEASE NOTE: The interview process for shortlisted candidates will include both a quantitative assessment exercise and an invitation to present a short job talk (~20-30 minutes) on their previous research experience.

PLEASE NOTE: The primary work location for this position is Boston, MA and in order to be on Harvard payroll, you must reside in one of the following states – MA, NH, RI, ME, CT, VT, NY, MD, or CA. We are also working primarily remotely at this time due to the COVID-19 pandemic. Until our return to campus, which is anticipated to begin in fall 2021, this interview process and position will be conducted virtually – including virtual interviews, remote onboarding, and remote work. The remote nature of this position is only temporary. Local, on-campus work will be required as a condition of continued employment once the School and this role return to an operational status that supports it. The Harvard T.H. Chan School of Public Health will support flexible work schedules upon this return, subject to individual departments’ business needs.

Basic Qualifications

  • Master’s degree in biostatistics, statistics, epidemiology, or closely related field required
  • 2+ years of related work experience required (a combination of education and experience may be considered)
  • Experience in R and SAS required

Additional Qualifications and Skills

The following job-specific skills and competencies are preferred:

  • Experience in statistics and completion of a master level biostatistics/statistics course curriculum strongly preferred
  • Experience in public health, and providing research support in a high-profile environment with tact and diplomacy
  • Strong writing skills (for leading and participation in writing scientific publications) 
  • Experience with GitHub
  • Solid working knowledge of office processes and related computer software (such as Microsoft Office and web-based applications) and electronic communications tools
  • Familiarity with Markdown, and experience with computing cluster environments
  • Familiarity with HTML and CSS are a plus
  • Experience with computing cluster environments, experience with R, SAS, and GitHub, experience running statistical analysis in R and SAS
  • Experience being a flexible team player
  • Strong communication and interpersonal skills
  • Works well across teams in supporting a variety of projects and constituencies
  • Experience working in a fast-paced environment with multiple priorities
  • Strong organizational skills
  • Strong attention to detail and quality
  • Strong quantitative and statistical skills
  • Strong judgement and discretion dealing with confidential information
The following cultural competencies are also preferred:
  • Awareness of and aptitude to appropriately and effectively understand, respect, and adapt to cultural and identity-based difference within group environments
  • Knowledge of and commitment to concepts and issues tied to social justice, diversity, equity, and inclusion
  • Skills related to creating and supporting an environment that allows for inclusion, effective intercultural engagement, and personal humility and authenticity

Additional Information

At the Harvard T.H. Chan School of Public Health, we believe that diversity is integral to the Harvard experience and our mission of improving public health education, research and policy. Diversity of cultural backgrounds, identities, lived experiences, perspectives, and ways of understanding the world enriches our community and enables us to best meet the public health needs of the United States and the world. Ongoing learning and development related to diversity allows for both individual and institutional growth, and is necessary to foster and sustain a culture of inclusion. To achieve this, we are committed to ensuring equitable access to opportunities for learning, living, and working at the Harvard Chan School. We maintain an unwavering dedication to diversity, inclusion, and belonging as core to our institutional values and to actively counter, minimize, and address racism, sexism, xenophobia, homophobia, gender bias, and all forms of discrimination.

Learn more about the School’s mission, objectives, and core values and our diversity, inclusion, and belonging initiatives.


Harvard University offers an outstanding benefits package including:

  • Time Off: 3-4 weeks paid vacation, paid holiday break, 12 paid sick days, 12+ paid holidays, and 3 paid personal days per year.
  • Medical/Dental/Vision: Excellent and affordable medical, dental & vision plans, with coverage beginning as of an employee's start date.
  • Retirement: University-funded retirement plan with full vesting after 3 years of service.
  • Tuition Assistance & Reimbursement Programs: $40 per class at the Harvard Extension School, discounted options through participating Harvard graduate schools, and reimbursement options for accredited schools outside of Harvard.
  • Transportation: 50% discount on MBTA passes, as well as additional options (rideshare, biking, etc.) to assist employees in their daily commute.
  • Wellness & Professional Development: Programs and classes at little or no cost, including stress management, hard & soft skills development, career planning, massages, nutrition, meditation, and complimentary health services. Additionally, access to Harvard athletic facilities, libraries, campus events -- and many discounts for various cultural and leisure activities throughout metro Boston.
Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country!


  • The Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions.
  • Harvard University requires pre-employment reference checks and background screenings.
  • This position has a 90 day orientation and review period. 

Harvard will require COVID vaccination for all Harvard community members. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement and exceptions may be found at the University’s “COVID-19 Vaccine Information” webpage .


USA - MA - Boston

Job Code

RS0356 Statistician I


00 - Non Union, Exempt or Temporary

Pre-Employment Screening

Education, Identity

EEO Statement

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.

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