The Weecology lab group run by Ethan White and Morgan Ernest at the University 
of 
Florida is seeking a Data Analyst to work collaboratively with faculty, 
graduate students, 
and postdocs to understand and model ecological systems. We’re looking for 
someone 
who enjoys tidying, managing, manipulating, visualizing, and analyzing data to 
help 
support scientific discovery.

The position will include:

Organizing, analyzing, and visualizing large amounts of ecological data, 
including spatial 
and remotely sensed data. Modifying existing analytical approaches and data 
protocols as 
needed.

Planning and executing the analysis of data related to newly forming questions 
from the 
group. Assisting in the statistical analysis of ecological data, as determined 
by the needs 
of the research group.

Providing assistance and guidance to members of the research group on existing 
research 
projects. Working collaboratively with undergraduates, graduate students and 
postdocs in 
the group and from related projects.

Learning new analytical tools and software as needed.

This is a staff position in the group and will be focused on data management 
and analysis. 
All members of this collaborative group are considered equal partners in the 
scientific 
process and this position will be actively involved in collaborations. 
Weecology believes in 
the importance of open science, so most work done as part of this position will 
involve 
writing open source code, use of open source software, and production and use 
of open 
data.

Weecology (weecology.org) is a partnership between the White Lab 
(whitelab.weecology.org), which studies ecology using quantitative and 
computational 
approaches and the Ernest Lab (ernestlab.weecology.org), which tends to be more 
field 
and community ecology oriented. The Weecology group supports and encourages 
members interested in a variety of career paths. Former weecologists are 
currently 
employed in the tech industry, with the National Ecological Observatory 
Network, as 
faculty at teaching-focused colleges, and as postdocs and faculty at research 
universities. 
We are also committed to supporting and training a diverse scientific 
workforce. Current 
and former group members encompass a variety of racial and ethnic backgrounds 
from 
the U.S. and other countries, members of the LGBTQ community, military 
veterans, people 
with chronic illnesses, and first-generation college students. More information 
about the 
Weecology group and respective labs is available on our website. You can also 
check us 
out on Twitter (@skmorgane, @ethanwhite, @weecology), GitHub 
(github.com/weecology/), and our blog Jabberwocky Ecology 
(jabberwocky.weecology.org).

The ideal candidate will have:

Experience working with data in R or Python, some exposure to version control 
(preferably 
Git and GitHub), and potentially some background with database management 
systems 
(e.g., PostgreSQL, SQLite, MySQL) and spatial data.

Research experience in ecology

Interest in open approaches to science

Experience collecting or working with ecological data

That said, don’t let the absence of any of these stop you from applying. If 
this sounds like 
a job you’d like to have please go ahead and put in an application.

We currently have funding for this position for 2.5 years. Minimum salary is 
$40,000/year 
(which goes a pretty long way in Gainesville), but there is significant 
flexibility in this 
number for highly qualified candidates. We are open to the possibility of 
someone working 
remotely. The position will remain open until filled, with initial review of 
applications 
beginning on May 5th. If you’re interested in applying you can do so through 
the official UF 
position page (http://explore.jobs.ufl.edu/cw/en-us/job/502034/data-management-
analyst-ii). If you have any questions or just want to let us know that you’re 
applying you 
can email Weecology’s project manager Glenda Yenni at gle...@weecology.org.

(See the announcement on our blog: jabberwocky.weecology.org/2017/04/24/data-
analyst-position-in-ecology-research-group/ )

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