The Han lab (http://www.hanlab.science/) at Cary Institute of Ecosystem Studies (https://www.caryinstitute.org/) is seeking a Research Associate to engage in a variety of new and ongoing projects related to predictive analytics and modeling in disease ecology. This position is similar to a senior postdoctoral research scientist but with greater latitude to co-develop research, and to lead grant proposals as Principal Investigator through Cary Institute. The successful candidate will be an excellent team player with versatile computational skills, with strong interest in the effective communication of computational/ecological concepts and research findings. Research experience in disease ecology is preferred, and more generally, candidates should possess a deep interest in investigating and understanding complex systems through rigorous and creative analysis of diverse data types. Thus, strong data science skills and expertise in R is required. Previous experience with machine learning is preferred, and candidates with previous experience with machine learning, deep learning, and explainable AI approaches applied to sequence data, remote sensing data, and image data are especially encouraged to apply.

There is a preference for this position to be based in-person at Cary Institute of Ecosystem Studies in Millbrook, NY, but remote work options are negotiable. Competitive applicants will have completed their PhD in ecology, biology, statistics, or related fields.

This is a salaried, exempt, full time and fully benefitted position subject to annual renewal contingent on performance. Candidates must be authorized to work in the U.S. Proof of COVID-19 vaccination is required.

To apply, complete our online job application at https://www.caryinstitute.org/about/careers-cary, which requires upload of a cover letter, a curriculum vitae (resume), and the names and contact information of three professional references. Applications will be reviewed beginning 9 January, 2023.

The Cary Institute of Ecosystem Studies is an Equal Employment Opportunity (EEO) and Affirmative Action (AA) (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) 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, familial status, protected veteran or disabled status, genetic information or any other protected class.