Gear Research Technician - Part Time Needed
Integrated Statistics is looking for a part-time Gear Research
Technician to support the National Oceanic and Atmospheric Administration
(NOAA) National Marine Fishery Service (NMFS).
The Gear Research Technician will work with the
Gear Research Group, which conducts research on sea turtles, marine mammals, and other
protected species to develop, test, and evaluate gear modifications.
The Gear Research Technician will work directly with the fishing industry and
other organizations to test gear modifications on commercial fishing vessels.
The technician will communicate operational aspects of the fishing
gear and receive user/tester feedback to assist in the evaluation of experimental gear and approaches.
in field studies, data analysis, and evaluation of potential solutions on how to mitigate sea turtle and marine mammal
bycatch in vertical lines of fishing gear.
in projects directed at reducing sea turtle and
other protected species bycatch in large mesh gillnets commonly used in
Mid Atlantic waters.
in field studies, data analysis, and evaluations of projects directed at mitigating sea turtle and other protected
species bycatch in bottom trawl gear; such as evaluating TED testing as
determined by the GARFO, with input from the NEFSC and SEFSC.
analyze, and evaluate project results as needed.
than 50 hours of previous experience with the identification of North
Atlantic marine mammals and sea turtles.
in working with the commercial fishing industry.
vessel safety training.
- Experience with entering data into a computerized data entry program while
at sea on a commercial fishing vessel.
- A Bachelor’s degree in fishery
science, marine biology, or a closely related field. Fisheries experience may
substitute for part of the educational requirement.
- Experience in conducting gear research project on commercial
fishing vessels is desired.
to meet the physical requirements of the job, which include:
- Spending up to two (2) weeks on board a commercial
fishing vessel, working up to 16 hours per day.
- Providing necessary medical clearance and required
safety training certificates before research activities.
- Ability to lift 40 lbs. on a rolling vessel in a safe
- Corrected 20/20 vision.
- Ability to work on small boats for periods of up to 12
hours at a time.
- Ability and willingness to stay at hotels for up to
eight (8) weeks at a time.
ability to work effectively as a team member.
to work independently when conditions preclude collecting the targeted
of scientific method, experimental design, and implementation under challenging
- Proficiency in Microsoft
Office software (Excel, Word, PowerPoint). Experience with statistical analysis is a plus.
- Ability to work independently and within a
- Strong time management skills and
attention to detail.
- Excellent communication skills both
verbally and using written materials (including visual presentations) with a
variety of audiences including technical, scientific, and the general public.
- Ability to adapt quickly to changing
priorities and strict timelines.
The position is expected to be part-time with some flexibility in hours. The period of performance will be one year. The rate
of pay will depend on skills and experience, and the position may be eligible for limited benefits. The position requires travel, and field
work, mostly within the Northeast and Mid Atlantic regions.
Integrated Statistics is an equal opportunity employer
and will not discriminate against any employee or applicant on the basis of
age, color, disability, gender, national origin, race, religion, gender
identity, sexual orientation, veteran status, or any classification protected
by federal, state, or local law. Consistent with its obligations under federal
law, Integrated Statistics is committed to taking affirmative action to employ
and advance in employment qualified women, minorities, disabled individuals,
special disabled veterans, veterans of the Vietnam era, and other eligible
veterans. For assistance with accessibility of applications, posters, forms,
and/or documents, please email the Integrated Statistics office.