Research Assistant I

Job description

Job no: 692347
Work type: Support Staff
Pay Grade: 11
Major Administrative Unit / College: College Of Agriculture And Nat Resources
Department: Fisheries And Wildlife 10002344
Sub Area: AP- Professionals
Salary: Salary Commensurate with Experience
Location: East Lansing
Categories: Full Time (90-100%), Administrative Professionals- AP, Research/Scientific, Union
Position Summary

We seek a Research Assistant with a strong background in statistics/biometry to serve as a cooperator on a variety of statistical and modeling projects focused on the management and assessment of Great Lakes fisheries, including native, invasive, and recreationally/ commercially exploited species. The assistant is anticipated to participate in a variety of research projects involving stock assessment methodology, harvest policy analysis, management strategy evaluation, and structured decision making. The candidate will also provide modeling/analytic support to biologists/researchers with fishery management agencies in the Great Lakes. The candidate will also participate in the preparation and delivery of on-line and short-courses on quantitative fisheries methods, lead/assist in preparing/editing reports to funding organizations and articles for peer-review publication, give presentations at professional meetings and to funding partners.

Unit Specific Education/Experience/Skills

Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in statistics/fisheries science or other related science fields; one to three years of related and progressively more responsible or expansive work experience in standard laboratory procedures and safety requirements and performing analytical and research techniques in an area related to research being performed; may require software specific to the area of research; or an equivalent combination of education and experience. The position may require special licensing or certification in the field related to the area of employment

Desired Qualifications

Previous experience with stock assessment and/or fish population modeling, management strategy evaluation, and/or structured decision-making projects is highly desirable as is familiarity with analyzing or designing creel surveys, and mark-recapture/tag-recovery studies. Preference will be given to candidates with demonstrated interest in engaging agency personnel and stakeholders at the interface of technical analysis and resource management. At least three-years work experience where job duties were heavily focused on statistical analysis/modeling of fishery-related issues; three to five years of related and progressively more responsible or expansive work experience in overseeing research projects and laboratory operations, operating and maintaining a variety of laboratory equipment, performing specialized and difficult analytical and research techniques, and designing research experiments in an area related to research being performed; may require software specific to the area of research; or an equivalent combination of education and experience. An MS in statistics/fisheries science or related discipline for which coursework was focused on statistical methods, biometry, or ecological modeling will count towards two years of work-related experience. Familiarity with contemporary statistical methodologies, including generalized linear modeling, hierarchical modeling, Bayesian inference, and sampling/experimental design is required.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Application Materials

CV, letter of application (describing background, experiences, skills, and career aspirations), unofficial transcripts, names and contact information for 3 references.

Work Hours

STANDARD 8-5

Description of End Date

This is an off-dated position funded for one year from date of hire with possible extension contingent upon funding renewal.

Bidding and Eligibility Ends on 2/23/2021 at 11:55 PM

Advertised: Feb 17, 2021 Eastern Standard Time
Applications close: Mar 17, 2021 Eastern Daylight Time

 

 

 

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Job No:
Posted: 2/18/2021
Application Due: 3/17/2021
Work Type: Full Time
Salary: