The Tick Project ( is a multi-year, large-scale research project aimed at reducing the incidence of Lyme disease and other tick-borne diseases at the neighborhood scale. We seek a Data-focused Research Specialist to be filled at the Assistant, Associate, or Senior Research Specialist level. The Data-focused Research Specialist will work with the Animal-focused and Human-focused Research Specialists, as well as with other project personnel, to maintain, explore, and analyze all data from the project. Data will include demographic information on vertebrate animals and ticks, tick infection prevalence, human encounters with ticks and incidence of tick-borne disease, land use/land cover (GIS), images from wildlife cameras, and human behaviors relevant to tick-borne disease. Experience in data analysis and visualization, client management software (e.g., Salesforce), epidemiology, population biology, and/or medical anthropology, and a Bachelors degree, are highly desirable. A Masters degree is required for the Senior Research Specialist level.

Salary is commensurate with experience and education. This is a full-time, exempt, benefitted position.

All candidates must be authorized to work in the U.S. Finalist candidates will be subject to a post-offer, pre-employment background check.

To apply, visit our website at and complete our online job application. Please submit one document that includes a cover letter, resume and the names and full contact information (including e-mail address) for three professional references. Include job code 17030-I in your correspondence. This position will report directly to Dr. Richard S. Ostfeld, Distinguished Senior Scientist at the Cary Institute and Dr. Felicia Keesing, David and Rosalie Rose Distinguished Professor at Bard College and Adjunct Scientist at the Cary Institute. Review of applications will begin on 21 September and continue until position is filled.

The Cary Institute is an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer. It is the policy of the Institute to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.