Data Technician Position: National Native Bee Monitoring Network
The Woodard Lab in the Department of Entomology at the University of California, Riverside is
recruiting a Data Technician to focus on data science support for the National Native Bee
Monitoring Research Coordination Network (RCN). The RCN is being formed to coordinate and
support existing and future native bee monitoring efforts across the US, with the goal of
advancing national bee biodiversity conservation and food security. Specifically, the RCN will
lead the native bee research and monitoring community in working together to develop the U.S.
National Native Bee Monitoring Plan. This plan will include standardized protocols ranging from
field sampling to data management, and will be guided by the diverse aims and needs of the
various agencies and other groups who are currently monitoring native bees, or plan to do so.
The Data Technician will work with the RCN co-organizers (see below) primarily to facilitate data entry and management by RCN members, assist with website development and meeting
organization, and to help to co-author sections of the U.S. National Bee Monitoring Plan.
Depending on background and expertise, the technician may also assist with two additional
aims of the RCN: (1) review and synthesize standardized collection protocols for bee
monitoring, and/or (2) identify ÃƒÂ¢Ã‚Â€Ã‚ÂœhotspotsÃƒÂ¢Ã‚Â€Ã‚Â in the US where monitoring efforts should be
ÃƒÂ¢Ã‚Â—Ã‚Â Experience in data entry and management
ÃƒÂ¢Ã‚Â—Ã‚Â Effective written and oral communication skills
ÃƒÂ¢Ã‚Â—Ã‚Â Excellent interpersonal skills and an ability to work in a team
ÃƒÂ¢Ã‚Â—Ã‚Â Proficiency in R for data management, cleaning, and manipulation
ÃƒÂ¢Ã‚Â—Ã‚Â Proficiency in GIS/mapping approaches
ÃƒÂ¢Ã‚Â—Ã‚Â Experience supervising and mentoring undergraduate researchers
Start date is May 1, 2020 (with some flexibility). The position is primarily located in Riverside,CA, but the technician will also travel to other labs of RCN-organizers (see below) part-time and will travel to national meetings (e.g., Entomological Society of America, Ecological Society of America). The appointment is initially for one year and is renewable up to a total of two years based on performance. Salaries are commensurate with experience and based on minimums set by the University of California postdoctoral union. Information on benefits is available at https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fclients.garnett-powers.com%2Fpd%2Fuc%2F&data=02%7C01%7Cmadeline.hennessey%40uconn.edu%7C9250aabacf6d48f1255908d7afa4bdd2%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637170994419391604&sdata=LncTBeBfeZpWIntaZ8nvDmDo2LiimFm68auhxopTSDM%3D&reserved=0 .
To apply, please send a cover letter, current CV, and names and contact information for three
references to Hollis Woodard at email@example.com. Additional questions can also be
directed to this email address. The application deadline is March 5, 2020.
(1) Dr. Hollis Woodard, UC Riverside
(2) Dr. Dan Cariveau, University of Minnesota
(3) Dr. Bryan Danforth, Cornell University
(4) Sam Droege, US Geological Survey
(5) Dr. David Inouye, Rocky Mountain Biological Laboratory
(6) Sarina Jepsen, The Xerces Society
(7) Dr. Shalene Jha, University of Texas at Austin
(8) Dr. Rebecca Irwin, North Carolina State University
(9) Dr. Rufus Isaacs, Michigan State University
(10) Tamara Smith, U.S. Fish and Wildlife Service
(11) Dr. James Strange, The Ohio State University
(12) Dr. Neal Williams, UC Davis
UCR is a world-class research university with an exceptionally diverse undergraduate student
body. Its mission is explicitly linked to providing routes to educational success for
underrepresented and first-generation college students. A commitment to this mission is a
preferred qualification. The University of California is an Equal Opportunity / Affirmative Action Employer with a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.