Lab-Data Manager Opportunity at Cary Institute of Ecosystem Studies
We are seeking a full time data and laboratory manager to support research activities in computational ecology of zoonotic diseases. Main duties will include the collection and curation of data from diverse sources including published literature, the web, and existing repositories and online databases. This main task will require some programming proficiency (R preferred). Additional duties include standardizing metadata across curated data files, and managing multiple data streams from distinct collaborative projects. The applicant should possess previous training in the biological sciences, and research experience with infectious diseases and ecology is preferred. In addition to R programming experience, proficiency with ArcGIS (or equivalent open access software) is desirable. The successful candidate will be collaborative with good verbal and written communication skills; detail- oriented; and enjoy a high degree of independence. This position offers the opportunity to engage in ongoing lab research projects, and to develop independent side projects exploring questions related to infectious disease. This is a fully benefitted position for one year, subject to annual renewal contingent on performance and available funding. The final candidate will be required to successfully complete a post- offer, pre-employment screening and background check. All candidates must be authorized to work in the U.S. To apply, visit our website at www.caryinstitute/who-we-are/jobs and complete our online job application. Interested applicants should send a 1-page cover letter detailing their interest and qualifications for the position, and the contact info for 3 references. Please include job code 16022-I in your correspondence. The Cary Institute is an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer. It is the policy of the Company 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, or genetic information.
