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JHU ECHO DAC Employment Opportunities

Open Positions

Tenure Track Faculty Position - Environmental Epidemiology

The Department of Environmental Health and Engineering in the Johns Hopkins Bloomberg School of Public Health invites applications for a full-time, tenure track research and teaching faculty position. We are seeking applicants with specific expertise in epidemiologic investigation of environmental exposures, risks, and health outcomes, as well as broader research and teaching expertise in the environmental health sciences. A range of environmental and community conditions and exposures and related health outcomes across the lifespan are of interest to the department.

Qualified applicants must hold a doctoral degree (e.g., MD, PhD, DrPH), specific training in epidemiology and environmental health sciences, and documented success in epidemiologic research. The rank of the appointment will be in accordance with the successful candidate’s experience.

Successful applicants will demonstrate a solid record of scholarship and extramurally funded research commensurate with rank; strong skills to contribute to advancing their field and teaching; and a commitment to addressing the challenges in their identified areas of research through translation of research to policy. The successful candidate will be expected to develop a sustainable sponsored research program in the Bloomberg School’s highly collaborative environment; be an active contributor to the educational mission of the Department; and should have experience in teaching, mentoring, and advising students at the graduate level. The candidate should enjoy working in a highly interdisciplinary team environment. Candidates should also be committed to fostering justice, equity, diversity, and inclusion throughout their research, teaching, and mentoring activities.

The Department offers excellent opportunities for cross cutting interdisciplinary research in many areas in the environmental health sciences, including environmental epidemiology, environmental and occupational health, toxicology, physiology, climate sciences, exposure sciences, risk assessment, environmental justice, and environmental engineering. Excellent collaboration opportunities exist within the Department and throughout the top ranked Johns Hopkins Schools of Public Health, Engineering, and Medicine, as well as other local partners including the Kennedy Krieger Institute, the Center for Women’s Health, Sex and Gender Research and the Environmental influences on Child Health Outcomes Data Analysis Center (, which are conveniently located on the East Baltimore Campus. Please visit our departmental website at

Applications can be submitted at any time and will be reviewed as received. We anticipate the submission period will be closed by early Autumn 2023, but may continue as needed until the position is filled. Applications must be submitted using Interfolio ( and include: Cover letter addressed to Brian S. Schwartz, MD, MS, Chair of Faculty Search Committee, Curriculum Vitae, a statement outlining research and teaching interests, and names and contact information of three references. In addition, applications should include a statement of demonstrated commitment to inclusion, diversity, anti-racism, and equity (IDARE) in scholarship, teaching, policy, and practice, and ways to continue to foster and promote these principles as a member of the Bloomberg School faculty.

The Johns Hopkins University is an equal opportunity, affirmative action employer committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students; we strongly encourage women and persons from underrepresented minorities to apply. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits, and activities on the basis of demonstrated ability, performance, and merit without regard to personal factors that are irrelevant to the program involved.

Postdoctoral Fellow Position - ECHO DAC
Primary faculty: Amii Kress, Department of Epidemiology

The ECHO DAC at the Johns Hopkins Bloomberg School of Public Health Department of Epidemiology is recruiting up to two postdoctoral scholars. Scholars with research interests in children’s health, environmental exposures, and epidemiology methods including Bayesian analysis, mixture analyses, machine learning, -omics, neighborhood analyses, are especially sought. Scholars are required to have a doctorate in epidemiology or related field.

The ECHO DAC is a highly collaborative environment. Scholars will work under the guidance of their primary faculty but will also directly engage with a diverse group of investigators from institutes across the US who represent many unique pregnancy cohorts. Scholars will have an opportunity to lead primary analyses and develop their own research interests in alignment with the goals of the ECHO program (see here:

Fellowships are for one year with possible renewal for a second year. Scholars receive an annual salary based on the National Institutes of Health postdoctoral salary scale with additional funds for research and professional development.

Instructions for applying: Please send a brief (1 paragraph) statement of interest and current CV to

Research Program Manager - ECHO DAC

The Department of Epidemiology is seeking a Research Program Manager (RPM) to work as an integral part of a large children's health cohort study. This individual will work with the Principal Investigator (PI) and Director to assist in the management and coordination of research activities for a Data Analysis Center. Specifically, the Research Program Manager will be responsible for the overall coordination and management of data harmonization efforts. The Research Program Manager will supervise several staff members.

Specific Duties & Responsibilities

  • Manage and coordinate the steps of data harmonization to ensure smooth and timely processing.
  • Provide weekly updates to PI and other key stakeholders on data harmonization status.
  • Make strategic recommendations and implement decisions to meet project goals.
  • Maintenance of the data harmonization report template and instructions.
  • Assist with the coordination and prioritization of various research activities.
  • Supervise one or more members of the research team.
  • Generate reports for presentations and professional meetings.
  • Communicate regularly with principal investigators and collaborators to review data harmonization and data analysis progress.
  • Establish regular communication systems between study components.
  • Oversee program evaluation activities.
  • Assure project management tasks are completed (i.e. prioritize, timeliness, milestones, monitoring, status).
  • Assist with preparation of grant proposals, IRB proposals, peer-reviewed manuscripts, conference presentations, and progress reports to funding agencies and other stakeholders.

Minimum Qualifications

  • Bachelor's Degree in related discipline. Related Master's preferred.
  • Five years related experience, including demonstrated supervisory or lead responsibilities.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

  • Masters Degree or higher in Epidemiology or Public Health preferred (or related field)

For more information and to apply, please click here

Biostatistician - ECHO DAC

The Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health seeks a Biostatistician to work as an integral part of a data analysis center study team. The Biostatistician will collaborate with epidemiologists, statisticians, and investigators in a variety of fields to manage and analyze complex multicenter longitudinal data. The successful applicant will contribute to the development and application of statistical methods to advance the scientific goals of a national child’s health study.

Specific Duties & Responsibilities: 

  • The core responsibility for the position will be data analysis, using a broad range of analytic methods.
  • The Biostatistician will create analytical plans, develop specifications for analytic datasets, create data dictionaries, write and implement statistical programs, and provide statistical consultation for PI, co-investigators and other staff.
  • Excellent oral and written communication skills are needed to collaborate with investigators from a variety of disciplines and to present findings with the potential to coauthor scientific papers.
  • The individual will support multiple research projects, and must be proactive, resourceful, self-directed, highly organized, and able to work independently and efficiently.

Minimum Qualifications (Mandatory):

  • Applicants must have a Master’s Degree in Biostatistics, Epidemiology, Statistics, or related discipline and research experience is preferred.
  • A strong background in statistical principles and data analysis are required with knowledge of Stata, SAS, or R (proficiency with multiple statistical programs preferred).

* Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.

Preferred Qualifications:

  • At least one year of experience analyzing longitudinal data in the context of a research study.
  • Experience with advanced methods (e.g., multiple imputation, propensity scores, geospatial analyses, etc.), manuscript and presentation preparation is desirable.   

Special Knowledge, Skills & Abilities:

  • Knowledge of Stata, SAS, or R (proficiency with multiple statistical programs preferred).
  • Experience in database software helpful.  Knowledge of additional specialized software (e.g. SQL, Python, ArcGIS, M-Plus) welcomed.

For more information and to apply, please click here.